0.6 2026 2026-11-24 2026-11-26 3 00:05 https://conferences.acspri.org.au Australia/Sydney Sutherland Room Workshop 2026-11-24T13:30:00+11:00 13:30 03:30 This workshop will describe the current state of linked administrative data for research in Australia and New Zealand. The workshop will be of interest to anyone wishing to find out more about linked administrative data in Australia and New Zealand, and particularly those wanted to learn how to use these data in their own research. No specialist skills or knowledge are required. Presenters will be from the Australian Bureau of Statistics, the Australian Institute of Health and Welfare, the Life Course Centre (Australia), Statistics New Zealand, and the Centre for Methods and Policy Application in the Social Sciences (New Zealand). All presenters have extensive experience in either using linked administrative data for research or curating linked administrative data to make such data available for research. Sessions will • Describe linked administrative data and discuss the strengths, limitations, and challenges of using these data for research • Discuss administrative data initiatives that are underway to support research • Describe existing large linked administrative data products, including the Person Level Integrated Data Asset (PLIDA) and the Integrated Data Infrastructure (IDI) • Describe the discoverability of linked administrative data • Showcase good research examples using linked administrative data from Australia and New Zealand. Sessions will be interactive with an emphasis on discussion. 2026-247-linked-administrative-data-research-in-australia-and-new-zealand Use of linked administrative data for social and health research Barry Milne en false https://conferences.acspri.org.au/2026/talk/7NY99K/ https://conferences.acspri.org.au/2026/talk/7NY99K/feedback/ Holme Room Workshop 2026-11-24T13:30:00+11:00 13:30 03:30 This interactive workshop introduces body mapping as a creative, participatory, and embodied methodology designed to generate rich insights into lived experience, particularly in relation to sensitive, complex, and often unspeakable or taboo topics. Drawing on the expertise of the Global Body Mapping Consortium, the workshop will combine conceptual grounding with hands-on engagement, enabling participants to both learn about and experience the method in practice. Body mapping integrates visual, narrative, and sensory approaches to research, inviting participants to express embodied experiences through a facilitated process of drawing, symbolism, and storytelling. As such, it holds particular promise for accessing forms of knowledge that are difficult to articulate through conventional verbal or text-based methods, including experiences of health, trauma, stigma, identity, and marginalisation. In doing so, body mapping can challenge dominant epistemologies, foreground participant voice, and support more inclusive and ethically responsive research practices. The workshop will begin with an overview of the theoretical and methodological foundations of body mapping, situating it within broader traditions of arts-based, participatory, and qualitative inquiry. This will include a critical discussion of its epistemological assumptions, strengths, and limitations, as well as key ethical considerations when working with sensitive topics and diverse populations. Exemplars from health, social, and community-based research will be used to illustrate how body mapping has been applied across contexts to generate impactful insights and support knowledge translation. Participants will then engage in a guided body-mapping activity, experiencing firsthand the processes involved in eliciting embodied knowledge. This experiential component is central to the workshop’s design, as it allows participants to reflect on both the methodological possibilities and the practical challenges of the approach. Facilitators will lead structured mindful reflection and discussion, encouraging participants to consider issues such as facilitation techniques, participant safety and support, interpretation of visual data, and the integration of multimodal outputs into analysis and dissemination. The workshop will also explore emerging developments in body mapping, including digital adaptations, collaborative and co-produced models, and its role in advancing networked and interdisciplinary research. Particular attention will be given to how body mapping can be used to engage participants as co-creators of knowledge, fostering empowerment while also maintaining rigour and reflexivity in the research process. It will also highlight the knowledge translation opportunities of body mapping installations and exhibits. Designed for researchers, practitioners, and postgraduate students, this workshop is suitable for those new to body mapping as well as those seeking to extend their methodological repertoire. No prior experience with arts-based methods is required. By the end of the session, participants will have a practical understanding of how to design, facilitate, and critically appraise body-mapping projects within their own research or practice contexts. Overall, the workshop aims to advance methodological innovation in the social sciences by demonstrating how embodied, creative approaches such as body mapping can surface hidden or silenced experiences, open new avenues for inquiry, and contribute to more inclusive and impactful forms of knowledge production. 2026-278-body-mapping-the-unspeakable-how-body-mapping-can-elicit-research-on-taboo-topics Embodied Methods in Focus: Advancing Body Mapping as a Transformative Social Science Methodology /media/2026/submissions/8EZS97/Body_Mapping_hvr3NBJ_iDBr6rh.webp Professor Ann Dadich en false https://conferences.acspri.org.au/2026/talk/8EZS97/ https://conferences.acspri.org.au/2026/talk/8EZS97/feedback/ MacCallum Room Workshop 2026-11-24T13:30:00+11:00 13:30 03:30 This workshop provides a hands-on tutorial to using exponential-family random graph models (ERGMs) for statistical analysis of social networks, using the {ergm} in R. The {ergm} package provides tools for the specification, estimation, assessment and simulation of ERGMs that incorporate the complex dependencies within networks. Topics covered in this workshop include: * an overview of the ERGM framework; * types of terms used in ERGMs * defining and fitting models to empirical data; * interpreting model coefficients; * goodness-of-fit and model adequacy checking; * simulation of networks using fitted ERG models; * degeneracy assessment and avoidance. {ergm} is a part of the Statnet suite of R packages for network analysis. 2026-330-exponential-random-graph-models-ergms-using-statnet Social Network Analysis (Abstracts reviewed by the ASNAC committee) Pavel N. Krivitsky en false https://conferences.acspri.org.au/2026/talk/XHN8TA/ https://conferences.acspri.org.au/2026/talk/XHN8TA/feedback/ Cullen Room Workshop 2026-11-24T13:30:00+11:00 13:30 03:30 Narrative inquiry is grounded in the view that human beings make sense of their lives through stories. More than a method for collecting and analysing narratives, it is a way of inquiring into experience that attends to the temporal, social, and contextual dimensions of people's lives. As narrative inquiry continues to gain prominence across the social sciences, many researchers remain uncertain about how to move from an interest in stories to the conduct of a rigorous narrative inquiry study. This workshop addresses that gap by providing a practical and theoretically informed introduction to narrative inquiry. Drawing on the facilitator's doctoral research and examples from published narrative studies, this interactive workshop introduces participants to the principles and practices of narrative inquiry and provides opportunities to apply them to their own research interests. The workshop will progress through a series of interconnected stages. I will begin by introducing the philosophical and methodological foundations of narrative inquiry and discussing what distinguishes narrative inquiry from other qualitative approaches. Using examples from published studies, participants will explore how narrative inquiry moves beyond the collection of stories to the study of lived experience through the dimensions of temporality, sociality, and place. I will then guide participants in formulating narrative research puzzles and considering how narrative inquiry can be used to investigate experience, identity, relationships, and meaning-making. Drawing on examples from my own doctoral research, I will introduce a range of narrative data-generation approaches, including narrative frames, interviews, written narratives, and reflective accounts. Participants will examine examples of these tools, discuss their strengths and limitations, and consider their suitability for different research contexts. Next, participants will work with excerpts from narrative data and engage in guided activities designed to introduce key principles of narrative analysis and interpretation. Through small-group discussion and collaborative reflection, participants will explore how researchers construct meaning from narratives while remaining attentive to participants' voices and experiences. The workshop will then focus on issues of reflexivity, relational ethics, representation, and trustworthiness in narrative inquiry. Participants will be invited to reflect on the role of the researcher in narrative inquiry and discuss practical and ethical challenges that arise when working with narrative data. In the final stage, participants will develop a preliminary narrative inquiry design relevant to their own research interests and receive feedback from peers and the facilitator. By the end of the workshop, participants will have developed a practical understanding of narrative inquiry as both a methodology and a way of inquiring into experience. They will leave with a framework for designing narrative inquiry studies, a curated set of resources, and adaptable tools that can be applied to their own research contexts. The workshop is suitable for postgraduate students, early-career researchers, and established scholars from diverse social science disciplines. No prior experience with narrative inquiry is required. 2026-238-inquiring-into-experience-designing-and-conducting-narrative-inquiry Qualitative methods Dharmanand JoshiJongyun Lim en false https://conferences.acspri.org.au/2026/talk/AGCVXV/ https://conferences.acspri.org.au/2026/talk/AGCVXV/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-25T09:00:00+11:00 09:00 00:15 Welcome to the conference! 2026-335-conference-welcome-and-opening en false https://conferences.acspri.org.au/2026/talk/FF3WK9/ https://conferences.acspri.org.au/2026/talk/FF3WK9/feedback/ Sutherland Room Plenary 2026-11-25T09:15:00+11:00 09:15 01:15 Meeting escalating environmental change depends on understanding how people are connected, both to one another and to the ecosystems they rely on. In this talk, I present an approach that treats social-ecological systems as multilevel networks, and I draw on long-term, whole-community panel data from small-scale fishing communities in the Pacific and East Africa, integrating repeated surveys with ecological data. I first show that where people who compete for the same resources are also connected to each other, coral reefs tend to be in better condition. I then turn to behaviour, showing how exposure to others in one's network shapes both responses to climate change and people's agency over adaptation decisions, and how power can enable or constrain these responses. Using temporal network models that account for interdependence among respondents, I then show how these networks evolve under pressure. Communities increasingly form the kinds of cooperative structures linked to ecological benefits, yet the individuals most embedded in them are more likely to experience declines in subjective wellbeing. I close by asking who bears the costs of cooperation in the face of environmental change, and what this means for designing research and policy that serve both ecological and social goals. 2026-256-the-hidden-costs-of-cooperation-social-ecological-networks-behaviour-and-wellbeing-in-a-changing-world Social Network Analysis (Abstracts reviewed by the ASNAC committee) Michele Barnes en false https://conferences.acspri.org.au/2026/talk/F7LG93/ https://conferences.acspri.org.au/2026/talk/F7LG93/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-25T11:00:00+11:00 11:00 00:15 Mental health difficulties rarely occur in isolation. Symptoms of attention-deficit/hyperactivity disorder (ADHD), conduct problems, and internalising difficulties co-occur at rates substantially above chance across childhood and adolescence, yet the mechanisms generating this comorbidity remain debated. Two influential theoretical frameworks offer competing explanations. Dynamic mutualism proposes that distinct psychopathology dimensions reinforce one another through reciprocal developmental processes, such that symptoms in one domain directly amplify symptoms in another. The common-cause model proposes instead that comorbidity reflects a shared latent liability underlying multiple symptom dimensions simultaneously. Prior longitudinal tests of these frameworks have relied on single-informant measurement, limiting the psychometric quality of the latent constructs under investigation. The present study demonstrates how multi-informant structural equation modelling can be combined with latent difference score methodology to provide a more rigorous evaluation of competing developmental theories. We analysed data for parent, youth, and teacher reported indicators of ADHD, conduct problems, and internalising symptoms obtained through the Adolescent Brain Cognitive Development (ABCD) Study (N = 7,558) at Waves one (10-11 years of age) and two (11-12 years of age). Using structural equation modelling we estimated two competing latent difference score models, one representing hypotheses of dynamic mutualism and the other representing hypotheses of common cause theory of development. Both models represented ADHD, conduct problems, and internalising symptoms as latent factors combining parent, youth, and teacher information, along with orthogonal respondent-general factors to account for covariance arising from shared method effects. Under the dynamic mutualism model mechanisms of change were specified for each domain and predicted by both self-feedback and cross-domain regressive effects, the hypothesis being that dynamic mutualism would be evidenced by positive cross-domain regressive effects. Under the common-cause model mechanisms of change were specified at the level of a single higher-order general psychopathology factor that represents effects that act upon all three domain factors. Both models fitted the data well by conventional criteria (CFI ≥ .974, RMSEA = .027, SRMR ≤ .048). Information criteria provided divergent guidance: AIC favoured the mutualism model (ΔAIC = 40.5) while BIC, which more heavily penalises model complexity, favoured the more parsimonious common-cause model (ΔBIC = −35.7). Inspection of the substantive parameters differentiated the models more clearly. In the dynamic mutualism model, significant self-feedback was observed for conduct problems (standardised β = −.48, p = .002) and ADHD (β = −.28, p < .001), but five of six cross-domain coupling paths were non-significant. The one significant coupling effect indicated that higher initial ADHD predicted less subsequent change in internalising (β = −.15, p = .001) — a negative direction contrary to the positive reciprocal reinforcement that mutualism theory predicts. In the common-cause model, all three domains loaded significantly on the general psychopathology factor, and the proportional self-feedback parameter was significant and negative (β = −.33, p < .001), indicating that higher initial general psychopathology predicted less subsequent increase in the common factor. Individual differences in general-factor change were also significant (standardised residual variance = .89, p < .001). These findings highlight value of the multi-informant latent difference score approach. The pattern of results is more consistent with a common-cause account of developmental comorbidity than with dynamic mutualism during this developmental period. The study demonstrates that multi-informant measurement enriches the reliability of latent constructs in developmental theory testing, and that embedding competing theoretical models within a unified latent difference score framework allows for hypothesis-driven evaluation of their relative empirical support. Implications for the measurement of developmental psychopathology and the design of future longitudinal studies will be discussed. 2026-299-multi-informant-latent-difference-score-models-for-comparing-theories-of-developmental-psychopathology-common-cause-versus-dynamic-mutualism Longitudinal data analysis Burt Hatch en false https://conferences.acspri.org.au/2026/talk/J8SVDK/ https://conferences.acspri.org.au/2026/talk/J8SVDK/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-25T11:15:00+11:00 11:15 00:15 Footprints in Time has been collecting open text from participants, as well as quantitative data, annually since 2008. Responses are typed by Aboriginal and Torres Strait Islander interviewers directly into the survey instrument and confidentialised responses are released to data users. These responses can add context to enrich quantitative analysis, privilege the voices of participants, and they can be used to answer research questions. Parents, educators and the young people in the study have provided hundreds of answers to questions such as: “Does <child's name> have a set routine or pattern for going to bed?” “What is it about Aboriginal or Torres Strait Islander culture that will help <child's name> grow up strong? “How do you deal with racism, discrimination or prejudice in your classroom?” “What does ‘grow up strong’ mean for you? “Have you <had any teaching / learned anything> about the Country you are on”? “Do you have plans for further study? This presentation will showcase some of the ways the open text has been used in the study. It will highlight the recent work of Indigenous scholars Jessa Rogers, Stuart Ekberg and Tirritpa Ritchie who have used storying methods from LSIC to drive the quantitative analysis, unpack what it means to grow up strong as an Aboriginal or Torres Strait Islander across Australia and provide Indigenous leadership for the analysis. 2026-333-analysing-open-text-over-time-from-footprints-in-time-the-longitudinal-study-of-indigenous-children-lsic Longitudinal data analysis Fiona Skelton en false https://conferences.acspri.org.au/2026/talk/9BPGGP/ https://conferences.acspri.org.au/2026/talk/9BPGGP/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-25T11:30:00+11:00 11:30 00:15 Background: Children's screen time has been shown to vary by family structure, but evidence remains cross-sectional, making it difficult to determine whether family structure drives these differences or whether pre-existing sociodemographic inequalities do. No study has examined how screen time changes following family transitions (from two-parent to single-parent and vice versa). Research question: What is the effect of family structure and its transition on children's screen time? Does a transition in family structure cause a change in children's screen time? Design, Setting, and Participants: This pre-registered study (OSF: https://doi.org/10.17605/OSF.IO/U3JB4) used data from the Longitudinal Study of Australian Children (LSAC), a nationally representative cohort study that has followed children since 2003 with biennial data collection. The analytic sample comprised children aged approximately 6–13 years, drawn from the Baby cohort (waves 4–7) and the Kindergarten cohort (waves 2–5). Missing data were handled using multiple imputation via predictive mean matching (mice package). Associations between family structure, number of siblings, and children's screen time were examined using multilevel mixed-effects models, with observations nested within children and children nested within cohorts, adjusted for sociodemographic covariates. Because children who experience household transitions may differ systematically from those in stable households, propensity score matching was used to match transitioned children with comparable peers in stable households, based on age, sex, socioeconomic position (SEIFA), Indigenous status, number of siblings, and home language. Using these matched samples, piecewise linear mixed-effects models were then estimated separately for single-parent-to-two-parent and two-parent-to-single-parent transitions, to assess whether screen time changed following family structure transitions. Main Outcomes and Measures: Children's weekly screen time (total minutes per week) was assessed via parent report and summed across three domains: television viewing, video game use, and computer or other electronic media use. Exposure Variable: Family structure was defined by the number of resident parental figures (biological, adoptive, or foster) responsible for caregiving, classified as two-parent (≥2) or single-parent (1). Family transitions were identified by comparing family-type classification across consecutive waves. Results: A total of 9043 children were included (mean age, 6.86 years; 51% male; 85% in two-parent households). Living in a single-parent household was strongly associated with higher screen time before adjustment (β = 89.80 min/wk; 95% CI, 69.28–110.32) but was not significant after full adjustment for sociodemographic factors (β = 11.98 min/wk; 95% CI, −7.41 to 31.37), with maternal education accounting for most of the attenuation. Each additional sibling was independently associated with lower screen time (β = −22.71 min/wk; 95% CI, −30.18 to −15.25). Family transitions showed no significant immediate effect on screen time (two-to-single: β = 18.45 min/wk; 95% CI, −94.48 to 131.39; single-to-two: β = −49.47 min/wk; 95% CI, −247.58 to 148.64), with parallel trajectories before and after transition. Conclusions and Relevance: The association between family structure and children's screen time is largely explained by sociodemographic factors. Transitions in family structure do not produce significant changes in screen time at the time of transition. Interventions to reduce screen time need not target family structure or its transitions; rather, they should address sociodemographic inequalities and account for the role of siblings. 2026-264-changes-in-family-structure-and-children-s-screen-time-a-longitudinal-study-of-australian-children Longitudinal data analysis Nigusie Shifera AylieRebecca PaganoTaren Sanders en false https://conferences.acspri.org.au/2026/talk/7DHYFB/ https://conferences.acspri.org.au/2026/talk/7DHYFB/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-25T11:45:00+11:00 11:45 00:15 Background Social productivity activities (such as volunteering, parenting) are meaningful roles one may engage in daily life. However, little is known about how (the level of) participating in these roles vary across the life course and their associations with social health such as loneliness and social isolation (SI). The aim of the study is to identify patterns of social productivity roles across adulthood and examine how they relate to persistent (≥ 2 consecutive waves) and episodic (≥1 non-consecutive wave) loneliness and SI. Methods Data were extracted from 15,300 participants aged 18 or over from the Household, Income and Labour Dynamics in Australia (HILDA) Survey in waves 2022 to 2024. We applied latent class analysis to six indicators (three domestic roles – caring for young children, caring for adults with health issues, doing housework; three external roles – participating in civic, altruistic, or cultural activities) to measure patterns of social productivity roles within four age groups (18-25, 26-44, 45-64, ≥65 years). Multinomial logistic regression was used to examine associations between latent classes and outcomes. Results Distinct social productivity patterns emerged across all age groups, generally characterised by either those with ‘no clear roles’, ‘active domestic roles, less-active external roles’ or vice versa, and ‘diverse domestic and external roles’. Across adulthood, individuals engaged in diverse external roles were more likely to have better health and higher socioeconomic status. Among older adults, both the no-role and sporadic external-role classes had significantly greater risks of persistent loneliness and SI than the diverse external-role class. Similar patterns were observed among younger- and middle-aged adults, where sporadic external engagement was associated with higher risks of episodic and persistent SI, while diverse external engagement was protective. Conclusions Social productivity roles cluster differently across the life course, and patterns with diverse external roles are consistently associated with a lower likelihood of persistent SI. Interventions that promote external activities alongside domestic roles may reduce chronic social disconnection across adulthood. 2026-295-social-productivity-roles-across-life-span-and-its-association-with-persistent-loneliness-and-social-isolation Longitudinal data analysis Ha Linh Quach en false https://conferences.acspri.org.au/2026/talk/KVAXWV/ https://conferences.acspri.org.au/2026/talk/KVAXWV/feedback/ Sutherland Room Short workshop 2026-11-25T13:30:00+11:00 13:30 01:30 THE CHALLENGE: FROM RESEARCH QUESTION TO FEASIBLE STUDY DESIGN Longitudinal cohort studies are among the most valuable resources available to social scientists, enabling researchers to investigate life course processes, developmental trajectories, social inequalities, and the complex relationships between individual, family and societal influences over time. Yet identifying suitable datasets, understanding what information has been collected, and determining whether available data can adequately address a research question remain significant challenges. As researchers increasingly also recognise the value of drawing cohorts together for analysis (cross-cohort designs), the demand for connected, discoverable cohort data becomes even greater. Efficient mechanisms for discovering and comparing longitudinal data resources are critical to translating research questions into data requirements, designing feasible analyses, and identifying opportunities for collaboration. This workshop addresses these challenges by introducing practical approaches to cohort discovery and longitudinal cross-cohort analytic designs. WHAT IS THE LIFECOURSE COHORT EXPLORER? LifeCourse Cohort Explorer is a catalogue of Australia’s high reuse cohort studies. Building on MCRI's established and trusted foundation, LifeCourse Cohort Explorer is scaling an already proven platform into a nationally significant asset aligned with Australia’s research data infrastructure priorities. LifeCourse Cohort Explorer makes Australian cohorts easier to find, explore, and understand. It allows researchers to unlock the full value of decades of Australian research investment, by making valuable data more visible and accessible. The Explorer platform focuses on cohort discovery and connection rather than hosting data, helping researchers identify relevant longitudinal studies, understand available data and measures, and connect with custodians as a pathway to further research opportunities. Cohort custodians retain control of their data and access arrangements while benefiting from greater opportunities for collaboration and research impact. LifeCourse Cohort Explorer is a co-investment partnership between the Murdoch Children’s Research Institute (MCRI) and the Australian Research Data Commons (ARDC) through the People Research Data Commons. The ARDC is enabled by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS). HOW CAN SOCIAL SCIENCE RESEARCHERS BENEFIT? By bringing together information that has traditionally been distributed across many studies and institutions, LifeCourse Cohort Explorer supports cross-cohort discovery and provides a broader view of health and wellbeing across populations, life stages and regions. This workshop will explore how longitudinal and multi-cohort data can be used to address important social science questions related to the role of timing, accumulation, transitions, and context across the life course. Participants will examine methodological opportunities created through secondary data analysis, including cross-cohort designs. Discussion will include how combining evidence across cohorts can improve replication, increase precision, and enhance understanding of population heterogeneity. Participants will also consider practical challenges associated with cohort identification, measurement comparability, and other aspects of research design. WHAT WILL PARTICIPANTS GAIN FROM THIS SESSION? The workshop includes a facilitated hands-on session using the LifeCourse Cohort Explorer. Participants will learn how to: • Translate substantive research questions into data requirements. • Identify cohorts with requisite data to address specific research questions. • Compare measures, populations and timepoints across studies. • Assess study feasibility using existing longitudinal data resources. • Identify opportunities for cross-cohort and collaborative research. By the end of the session, participants will have developed practical skills in cohort discovery and longitudinal research design, gained a stronger understanding of Australia's longitudinal data landscape, and identified new opportunities to strengthen their own research through the use of existing cohort resources. 2026-305-find-explore-and-access-the-right-longitudinal-data-faster-a-hands-on-workshop-using-the-lifecourse-cohort-explorer Longitudinal data analysis A/Prof Meredith O'Connor en false https://conferences.acspri.org.au/2026/talk/EG3YXL/ https://conferences.acspri.org.au/2026/talk/EG3YXL/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-25T15:30:00+11:00 15:30 00:15 The term complex chronic illnesses refers to a collection of often overlapping multi-system illnesses that cause substantial levels of disability and which disproportionately impact women. Some examples include myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Long COVID, Ehlers-Danlos Syndromes (EDS) and postural orthostatic tachycardia syndrome (POTS). Despite being relatively common, these conditions are underdiagnosed, undertreated and understudied, and service provision is fragmented. It is likely issues accessing care are exacerbated for Māori and Pacific Peoples and people with low socioeconomic position. I will discuss some of the challenges of using administrative data to study complex chronic illnesses, focussing on recent research with the Integrated Data Infrastructure (IDI), a de-identified linked research database of administrative, Census and survey data. Case studies will include projects i) examining access to publicly funded dietetics and gastroenterology services for EDS and ii) testing potential links between childhood health conditions and ME/CFS and Long COVID risk. These studies will be contrasted with research using the IDI to describe the epidemiology of multiple sclerosis, an autoimmune condition with substantial overlaps with complex chronic illnesses. I will discuss how the poor visibility of complex chronic illnesses in administrative data both reflects and perpetuates their neglect in health, disability and social welfare services. 2026-290-using-linked-administrative-data-to-study-complex-chronic-illnesses Use of linked administrative data for social and health research Natalia Boven en false https://conferences.acspri.org.au/2026/talk/FMUWWK/ https://conferences.acspri.org.au/2026/talk/FMUWWK/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-25T15:45:00+11:00 15:45 00:15 Increasing opportunities to link attitudinal and behavioural survey data to administrative records presents new opportunities for social research. Australia’s only probability-based online panel, Life in Australia™, has recently linked continuing panellists to the Australian Bureau of Statistics’ Person Level Integrated Data Asset (PLIDA), offering new possibilities for combining high-quality survey estimates with PLIDA’s expanding collection of data from Commonwealth and other sources. This paper examines the drivers of linkage consent using the available profile data on Life in Australia™ panellists to provide insights into the utility of such linkage. Drawing on survey and panel profile information, we investigate the demographic, socioeconomic, attitudinal, and participation characteristics associated with consent to linkage on Life in Australia™. We use random forest models to understand characteristics predicting consent at different stages of the linkage from general consent to PLIDA to specific survey data linkage consent. We further assess representativeness at different stages of the recruitment funnel with comparison to high-quality external benchmarks via absolute average error. Beyond providing empirical evidence on linkage consent behaviour, this study contributes to a growing methodological literature on survey-administrative data linkage consent. The findings will be of interest to researchers who are considering data linkage. They will also help identify factors that may influence the generalisability of analyses conducted using linked survey and administrative data. 2026-308-drivers-of-plida-data-linkage-consent-on-life-in-australia Use of linked administrative data for social and health research /media/2026/submissions/WP8R9E/LinA_10_Years_Auc3YfM_AV9WUeq.webp Anna Lethborg en false https://conferences.acspri.org.au/2026/talk/WP8R9E/ https://conferences.acspri.org.au/2026/talk/WP8R9E/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-25T16:00:00+11:00 16:00 00:15 This study examines the effects of cyclones on life satisfaction in Australia, exploiting local exposure to cyclones as a natural experiment to address the limited causal evidence in the existing literature. Using 24 years of nationally representative panel data and individual fixed-effects models, we find that only the most severe Category 5 events—particularly those occurring in close proximity to individuals’ residences—have statistically significant and economically meaningful negative effects on overall life satisfaction, as well as on satisfaction with community and health. Moreover, these severe cyclones generate persistent or delayed adverse effects on satisfaction with employment opportunities, neighbourhood, community, and personal safety. Back-of-the-envelope calculations indicate that the estimated effects of Category 5 cyclone exposure within 100 km of one’s residence are equivalent to an income loss of approximately 1.4% to 6.5%, depending on the life satisfaction domain considered. The negative impacts are most pronounced among males, younger individuals, and those without prior residential insurance coverage, underscoring the importance of insurance in mitigating the adverse effects of natural disasters on life satisfaction. 2026-298-delving-into-the-eye-of-the-cyclone-to-quantify-the-causal-impacts-of-natural-disasters-on-life-satisfaction Use of linked administrative data for social and health research Francis Mitrou en false https://conferences.acspri.org.au/2026/talk/EBWYNS/ https://conferences.acspri.org.au/2026/talk/EBWYNS/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-25T16:15:00+11:00 16:15 00:15 Enabling programs at Australian universities offer an alternative entry pathway for potential university students who do not qualify or do not attend following secondary school. Widely seen as improving access to non-traditional bachelor’s degree students, enabling pathways have higher shares of equity students than traditional entry pathways. Using linked administrative data from the Australian census and higher education enrolments and completions, we apply a sequential logistic regression approach to understand how family background and individual-level characteristics affect educational transitions of domestic students who participate in fee-free enabling programs at Australian universities. To measure pre-university family socioeconomic origins from Census data, the sample consists of students aged 14–17 at the time of the 2011 Census who resided with at least one parent and went on to enrol in a university enabling program. Then, using linked higher education enrolment and completion information, we track students across the potential transitions into bachelor’s degree enrolment and, subsequently, bachelor’s degree completion. We find that among this subsample of relatively young enabling students, some factors, such as socioeconomic disadvantage, are associated with lower enrolment and completion conditional on completion, while others, such as gender and disability, matter more for bachelor’s degree completion than for the transition from enabling programs into bachelor’s programs. Further, we find that several institutional characteristics, such as the size of the enabling student population, institutional selectivity, and whether the student has changed institutions, are predictive of degree completion for students who start in enabling programs. The results suggest that while enabling programs can widen participation in university, a more nuanced understanding of multiple educational transitions can inform how institutions can ultimately improve rates of degree completion for those who begin their higher educational careers in enabling programs. 2026-314-understanding-transitions-from-enabling-programs-to-and-through-university Use of linked administrative data for social and health research Matthew Curry en false https://conferences.acspri.org.au/2026/talk/DY3LU8/ https://conferences.acspri.org.au/2026/talk/DY3LU8/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-25T16:30:00+11:00 16:30 00:15 Primary health care (PHC) quality is fundamental element towards achieving universal health coverage, yet measuring it remains challenging. PHC quality is multidimensional, reflecting both health system and patient perspectives, and influenced by individual and contextual factors. Routinely collected administrative and survey data provide useful insights, however, they are rarely combined with area-level healthcare data to examine PHC quality across geographic locations. This is particularly challenging in low- and middle-income countries (LMICs), where comprehensive assessments and monitoring PHC quality are often limited. Using Indonesia’s highly decentralised healthcare system as a case study, this presentation demonstrates the usefulness of combining routinely collected datasets measured at different levels through multilevel analysis to provide a more comprehensive assessment of PHC quality and to gain potential avenues for improving equitable PHC quality. We examined two complementary measures of PHC quality: (1) potentially preventable hospitalisations (PPH), representing the health system perspective, and (2) patients’ perceptions of PHC quality, representing the beneficiary perspective. Our study used three data sources: 1) the 2023 National Health Insurance administrative data, 2) the 2023 Indonesian Health Survey, and 3) district/city healthcare characteristics datasets. Multilevel analyses were used to account for the hierarchical structure of the data, with individuals nested within districts/cities, to describe geographic variation in PHC quality and the contributions of healthcare services characteristics to both measures. Our study showed substantial geographic variation in PPH across districts/cities in Indonesia. Importantly, our findings suggested that caution is required when interpreting PPH as a measure of PHC quality, particularly in settings where unequal access to hospital services, lower estimates may reflect a lack of hospital accessibility rather than better PHC quality. These findings demonstrated the importance of incorporating contextual healthcare characteristics when interpreting measure of PHC quality. Analysis on the patients’ perceptions of PHC quality using survey data and area-level healthcare datasets is currently underway and will complement these findings. Beyond the Indonesian case study, this work, using various data sources (administrative and survey data) combined with area-level healthcare data using multilevel analysis, provides a practical approach for researchers and policymakers seeking to improve equitable PHC quality in decentralised and resource-constrained healthcare system, where comprehensive quality monitoring system are often lacking. 2026-244-what-can-routine-data-reveal-about-geographic-variation-in-primary-health-care-quality-a-multilevel-analysis-combining-individual-level-administrative-and-survey-data-with-area-level-healthcare-data Use of linked administrative data for social and health research Dewi Amila Solikha en false https://conferences.acspri.org.au/2026/talk/WFNE3C/ https://conferences.acspri.org.au/2026/talk/WFNE3C/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-25T11:00:00+11:00 11:00 00:15 A persistent methodological limitation in equity research is its reliance on outcome-based indicators such as enrolment, retention, completion, and graduate employment to define and evaluate “success.” While these measures are valuable for policy monitoring, they provide limited insight into students’ agency, lived experience, and the substantive opportunities available to them within higher education. As a result, equity research has tended to privilege what can be easily quantified, often at the expense of understanding how students themselves define and experience meaningful participation and achievement. The Capability Approach offers an alternative methodological lens by conceptualising success in terms of the substantive freedoms and opportunities individuals have to pursue lives they have reason to value. However, a key methodological challenge within Capability Approach research is the absence of an agreed capability list and limited guidance on how context-specific capabilities can be systematically derived. This paper presents a systematic five-step methodology for developing a capability framework for low-SES student success in Australian higher education. The approach integrates conceptual analysis, synthesis of Capability Approach and equity literature, translation of empirical barriers into capability requirements, and validation through the lived experiences of low-SES students. By demonstrating a transparent and replicable process for operationalising the Capability Approach, the paper contributes a methodological template for equity research that can be adapted across diverse social policy and higher education contexts. The resulting framework offers both a richer account of student success and a robust methodological approach for studying equity beyond outcome-based metrics. 2026-241-developing-a-context-specific-capability-framework-a-five-step-method-for-operationalising-the-capability-approach-in-equity-research Qualitative methods Dr. Binh TaSam Hoang en false https://conferences.acspri.org.au/2026/talk/TPSTGV/ https://conferences.acspri.org.au/2026/talk/TPSTGV/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-25T11:15:00+11:00 11:15 00:15 This study develops a practice-based and institutionally embedded understanding of sustainability in peer-to-peer accommodation (P2PA) through a systematic literature review of host sustainability practices. Drawing on Social Practice Theory and an institutional perspective, the review examines how sustainability practices are configured, enacted, and reproduced within everyday hosting contexts. Sustainability has become an increasingly important concern in P2PA research, particularly in relation to environmental impacts, community relations, and responsible consumption. P2PA provides a particularly informative empirical setting because sustainability is enacted through the continual integration of environmental, social, cultural, and economic practices within everyday host–guest, community, and place-based interactions. However, existing research has often focused on structural conditions, consumer attitudes, and sustainability outcomes, with comparatively less attention to how sustainability is enacted through hosts’ everyday practices. Hosts play a central role in translating sustainability into everyday accommodation practices through their daily decisions and interactions. Understanding how hosts interpret, adapt, and enact sustainability is therefore essential for explaining how sustainability is realised in P2PA. This presents not only a substantive research gap but also a methodological challenge for evidence synthesis: how can evidence of sustainability practice be identified across studies that conceptualise and examine sustainability in different ways? This study addresses this challenge through a qualitative systematic literature review of host-level sustainability practices in P2PA. Guided by an interpretivist perspective, the review combines a PRISMA-informed search and screening process with qualitative thematic synthesis. Searches of Web of Science and Scopus identified 762 records published between 2008 and December 2025. After deduplication, 492 records were screened, 72 underwent full-text assessment, and 69 studies were included in the final synthesis. A central methodological feature is a practice-first screening and coding strategy. Rather than treating all studies framed as sustainability research as equivalent sources of practice evidence, the review distinguishes between empirical evidence of enacted host practices and studies focused primarily on guest attitudes, sustainability intentions, platform policies, or destination-level outcomes. Studies providing direct evidence of what hosts do, implement, or manage are treated as core evidence. Studies offering host-actionable recommendations without directly examining host practices are considered supplementary contextual evidence. This distinction strengthens analytical clarity by preventing recommendations and intentions from being conflated with observed practices. The synthesis combines Social Practice Theory with an institutional perspective. NVivo-assisted thematic analysis examines how sustainability practices are configured through meanings, competences, and materials, while also considering institutional influences such as platform governance, market pressures, community infrastructure, and regulatory arrangements. This approach connects everyday hosting activities with the wider conditions that enable, constrain, and reshape them. The findings identify selective enactment as a key process: sustainability practices are rarely simply adopted or rejected, but are modified, combined, maintained, or abandoned in response to hosts’ values, capabilities, resources, guest expectations, and wider institutional conditions. The analysis also reveals creative value integration, whereby practices such as local sourcing, cultural storytelling, waste reduction, and community collaboration can simultaneously support sustainability, guest experience, business differentiation, and community benefits. The presentation concludes by considering the wider methodological implications of practice-oriented qualitative synthesis. It demonstrates how clearly defining the actor and unit of analysis, distinguishing enacted practices from attitudes and prescriptions, and integrating micro-level practices with institutional contexts can generate more meaningful explanations from heterogeneous research. More broadly, the study highlights the importance of explicit conceptual boundaries and transparent screening decisions when synthesising heterogeneous interdisciplinary literatures, particularly where broad social science concepts are conceptualised and operationalised in different ways across studies. 2026-262-identifying-sustainability-in-everyday-practice-a-practice-based-systematic-review-of-peer-to-peer-accommodation Qualitative methods Yangyang Liu en false https://conferences.acspri.org.au/2026/talk/N9JUXR/ https://conferences.acspri.org.au/2026/talk/N9JUXR/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-25T11:30:00+11:00 11:30 00:15 Comparative qualitative research faces a persistent methodological challenge: how can researchers systematically compare cases without overlooking the contextual differences that make each case analytically valuable? This paper addresses this question through a multi-site study of religious diversity governance in Indonesia. It reflects on a methodological approach developed to examine how central government, local governments, and civil society actors interpret, negotiate, and implement policies concerning religious diversity. The research employs a qualitative multiple-case study design combining policy and document analysis, semi-structured interviews, focus group discussions, and non-participant observation. Fieldwork was conducted with 93 participants in Jakarta and three purposively selected cities: Singkawang, Bekasi, and Depok. The cities were selected through a maximum-variation strategy because they represent contrasting records and institutional approaches to religious tolerance. This design enables an examination of how similar national policies are interpreted and implemented differently within distinct political, institutional, and socio-religious contexts. The data are analysed using three techniques drawn from Yin’s case study methodology: cross-case synthesis, pattern matching, and explanation building. The analysis begins by developing a detailed narrative for each city to preserve its specific historical, political, and social context. Cross-case synthesis is then used to compare the three cities and identify recurring patterns, important differences, and context-specific variations. Pattern matching compares empirical patterns across cases with theoretically informed expectations concerning recognition, accommodation, minority rights, interaction, participation, and social cohesion. These expectations are derived from selected multiculturalism and interculturalism approaches developed mainly in Western contexts and adapted as analytical lenses for Indonesia. Explanation building is used iteratively to investigate how and why governance practices and outcomes vary across the three cities. To support systematic comparison, evidence is organised by case, stakeholder group, and key analytical theme, drawing on an interculturalism framework adapted to the Indonesian context. These themes include commitment to diversity, religious education, community engagement, access to public and shared spaces, conflict prevention and resolution, communication, participation, and institutional support. Evidence from documents, interviews, focus groups, and observations is triangulated not merely to confirm a single account, but to identify agreements, contradictions, silences, and differences between formal policies and everyday governance practices. The paper also considers how researcher positionality affects access, interaction, and interpretation. As an Indonesian Muslim researcher and lecturer at a state Islamic university, I occupied shifting insider and outsider positions across research sites, government institutions, and minority communities. Reflexive field notes were used to consider how these relationships shaped the research process and interpretation. This paper offers a practical analytical strategy for conducting theory-informed, multi-site qualitative research on sensitive and politically contested issues. It demonstrates how Yin’s three techniques can be combined to enable systematic comparison while preserving contextual complexity and generating explanations for similarities and differences across cases. 2026-322-from-cases-to-comparison-cross-case-analysis-of-religious-diversity-governance-in-indonesia Qualitative methods Khoirun Nisa Darma en false https://conferences.acspri.org.au/2026/talk/KPNCDA/ https://conferences.acspri.org.au/2026/talk/KPNCDA/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-25T12:15:00+11:00 12:15 00:15 The body is rarely experienced as a single moment in time. Across illness, trauma, reproductive loss and recovery, embodied experiences may persist, be interrupted, or be reconfigured rather than simply replaced by what comes next. This presentation introduces the Overlay Body Mapping Method, a methodological development in arts-based qualitative research designed to explore relationships between embodied states across time. The method was developed through a cross-cultural qualitative study of women’s embodied experiences of pregnancy and miscarriage. Eight women from India and seven from Australia took part in two body-mapping sessions alongside interviews. The women first chose a bodily posture and position to be mapped that they saw as representing their experience of pregnancy. Then, on the same body map, the women chose a second bodily posture and position from which their experience of miscarriage was mapped. The women were given the agency to determine how their miscarriage body related spatially to their first mapping of their pregnant body. As a result, the configurations of the women’s maps were characterised by adjacency, separation, fusion and partial overlap. Body mapping and interviewing occurred concurrently, allowing visual construction and verbal narration to develop dialogically. The process of body mapping and interviewing was video-recorded to retain the embodied process of creating and positioning the maps, rather than relying solely on the completed maps as static visual artefacts. The presentation demonstrates how overlay body mapping moves beyond a simple comparison of the bodily experience of miscarriage as a “before” and “after” event. By retaining multiple embodied states within a shared visual field, the overlay method makes the visible the spatial and temporal relationship between and across embodied states. Posture, proximity, distance and overlap become analytically meaningful when interpreted alongside participants’ accounts. Although developed within miscarriage research, Overlay Body Mapping offers broader methodological possibilities for research concerned with bodily transition, illness trajectories, trauma, recovery and other experiences in which previous embodied states are not simply left behind but remain present in changing ways. 2026-261-beside-over-and-apart-overlay-body-mapping-as-a-method-for-tracing-embodied-change Embodied Methods in Focus: Advancing Body Mapping as a Transformative Social Science Methodology Aastha Ahuja en false https://conferences.acspri.org.au/2026/talk/BLP89J/ https://conferences.acspri.org.au/2026/talk/BLP89J/feedback/ Holme Room Short workshop 2026-11-25T13:30:00+11:00 13:30 01:30 TBA 2026-337-introduction-to-data-analysis-with-the-australian-survey-of-social-attitudes-aussa The Australian Survey of Social Attitudes (AuSSA) Markus Hahn en false https://conferences.acspri.org.au/2026/talk/BQRHBA/ https://conferences.acspri.org.au/2026/talk/BQRHBA/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-25T15:30:00+11:00 15:30 00:15 The focus of administrative data collection for legal assistance services, as with many other sectors, is often about meeting reporting requirements of funding bodies. There are missed opportunities to use routinely collected data to answer research questions. This presentation draws on the Law and Justice Foundation of NSW's work with community legal centres across New South Wales. The project aims to describe how community legal centres statewide respond to legal need, where gaps in provision appear, and how service utilisation compares with available indicators of legal need. Following pilot analyses for a subset of centres, the current phase includes engagement with 32 community legal centres in NSW and unit record data for more than 100,000 services that were provided in 2024-25. The methodological core of the project is an iterative quality assurance process conducted with each centre individually, in which data is reconciled against other sources and apparent anomalies are investigated. Each centre receives a draft report accompanied by queries about unusual values and questions about ordinary recording practice. Their responses inform a final report for the centre and influence how data is incorporated into a statewide analysis. Lessons from this process have wide application for research using service data. First, the capability to produce and use data is distributed very unevenly across providers. Some centres have staff with dedicated data responsibilities, others depend on one person with many competing duties, and several had not previously seen their own data analysed. Supporting providers to collect and maintain quality data is a fundamental step in using service data meaningfully, and one with substantial resourcing implications for projects of this kind. Engagement in this type of project may also increase data capability. Responding to queries requires staff to look closely at their own data and to articulate tacit practices. Capability is therefore not only a precondition for this work but one of its outputs. Second, quality assurance of this kind may be better understood as knowledge production than as data cleaning. Engagement with providers is essential to understanding what service data represents. Variations in data recording practices between services may be errors but may also reflect differences in service design and client cohorts. Analysis across providers requires harmonisation of data, which risks obscuring these differences. Where harmonisation involves a loss of specificity or nuance, this should inform interpretation of the harmonised data. Third, understanding how services record data is crucial for the type of meaningful interpretation needed to measure outcomes. This is a live question in legal assistance, where work is currently underway to develop sector-wide outcome measures. Outcomes already recorded cannot be interpreted without knowing how, when and for which clients they were captured. Where outcome monitoring is being designed, current recording practice indicates what could realistically be collected, and the support providers would need to do so consistently. These issues are likely to be familiar to anyone working with frontline service data, whether the interest is in the services themselves, in the populations they reach, or in the data as a resource for wider analysis. Across these lessons, the limits of administrative data in a given context are better treated as research findings in their own right, rather than only as limitations to be noted. 2026-252-what-service-data-tells-us-quality-assurance-harmonisation-and-practitioner-capability-in-legal-assistance Applying multiple methods to explore access to justice Emily Kothe en false https://conferences.acspri.org.au/2026/talk/8LAW8K/ https://conferences.acspri.org.au/2026/talk/8LAW8K/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-25T15:45:00+11:00 15:45 00:15 General population legal needs surveys are one of few ways to measure the legal problems of diverse groups of people, including those who don’t ever reach out for legal help or recognise their problem as a legal one. But while such surveys are key to identifying prevalence and patterns, they cannot tell us why or how different groups of people experience particular types of problems. Mixed methods can help to measure otherwise hidden needs through quantitative data and understand the meaning of those needs through qualitative data. This presentation will draw on examples of the Law and Justice Foundation of NSW’s current research to explore the value of mixed methods research in understanding the breadth and complexity of legal problems experienced by Australians. It will discuss how we have adapted international legal needs survey methods to the current Australian context, via our Legal needs Australia Wide (LAW+) Survey of at least 20,000 people. It will explore the process of balancing the interests of practice and policymakers who will be the end users of the research, with design decisions about feasibility, robustness and maximising response rates. The innovations to legal needs survey design adopted in this project include quadri-modal data collection methods that connect with diverse respondents via mail-out, online, panel and in-person options, and, for the first time, questions on the use of AI to address legal problems. However, there are intrinsic limitations to what we can learn from this type of quantitative study, and qualitative methods are being used to add depth of understanding to the patterns of inequality identified by the legal needs survey. The presentation will also describe how we are collaborating with the Aboriginal and Torres Strait Islander Research Unit to understand the legal needs of Aboriginal and Torres Strait Islander peoples in NSW through qualitative, community-based case studies. It will consider the importance of spending time in communities, to provide space and safety for people to share their stories and make meaning of how they experience the justice system. Finally, the presentation will consider what it means to use authentically ‘mixed methods’ that go beyond the presentation of disparate quantitative and qualitative data. It will draw on these examples of legal needs studies to illustrate how this type of research can be designed and positioned to shape real world policy and practice reform, and the challenges implicit in bringing legal needs research to life. 2026-250-mixed-methods-for-measurement-and-meaning-using-surveys-and-case-studies-to-understand-legal-needs Applying multiple methods to explore access to justice Kate Davies en false https://conferences.acspri.org.au/2026/talk/JLZWX8/ https://conferences.acspri.org.au/2026/talk/JLZWX8/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-25T16:00:00+11:00 16:00 00:15 Coronial investigations occupy a neglected position within access to justice scholarship. While coronial proceedings offer important procedural protections for bereaved families, the preventive function of the coronial jurisdiction, (its capacity to generate recommendations that drive legislative, regulatory and policy reform) has received limited empirical attention. Whether recommendations actually translate into meaningful change is a question of accountability and distributional justice: it goes to whether the justice system delivers on its preventive mandate for communities most exposed to preventable harm. Existing research has primarily evaluated coronial recommendations through implementation or acceptance rate frameworks, examining whether the agency to which a recommendation was directed formally accepted, rejected, or partially implemented it. While these approaches yield useful descriptive information, they implicitly assume a relatively linear relationship between recommendation and documented reform. In practice, policy changes rarely follow such a pathway. Reforms addressing risks identified in coronial investigations frequently emerge through extended policy processes (government reviews, commissioned research, regulatory consultation and incremental legislative development) that may unfold over years following the original recommendation. Recommendations may also contribute to change indirectly by shaping policy agendas, informing research, or reinforcing concerns raised through parallel policy processes. No established method exists capable of systematically tracing these broader non-linear pathways of influence. The From Inquest to Impact project therefore required constructing a new analytical framework from the ground up. This presentation introduces Recommendation-to-Reform Mapping (R2R Mapping), a structured qualitative method developed to trace policy influence of coronial recommendations over time. The method integrates documentary policy analysis, policy sequence analysis and process tracing to reconstruct the sequence of policy developments that may follow from coronial findings. Rather than evaluating recommendations by whether they were formally accepted or rejected, R2R Mapping traces the broader policy trajectories through which coronial findings may contribute to institutional and legislative change. The method involves five analytical stages: defining the policy domain; identifying and coding coronial recommendations; identifying relevant policy developments and reforms through systematic documentary analysis; constructing chronological policy timelines; and assessing linkages between recommendations and reforms. Linkages are classified according to both type – direct, indirect, or conceptual agenda-setting, and strength of evidentiary support. This structured approach enables recommendations, reforms and policy linkages to be systematically compared across policy domains, time periods, and institutional actors. The method is illustrated through its application to the rock fishing safety domain, one of a number of preventable death domains examined in the From Inquest to Impact study, commissioned by the NSW State Coroner. This domain provides a concrete example of how the framework records intermediate policy developments events, such as commissioned research and safety reviews, alongside substantive legislative reform, and assess the documentary evidence linking coronial recommendations to each. The rock fishing safety domain also demonstrates the potential to integrate R2R Mapping with quantitative mortality trend analysis, enabling examination not only of how recommendations contributed to reform, but whether those reforms were followed by measurable reductions in preventable deaths. The presentation considers both the methodological challenges of working in data-poor documentary environments, including the differential visibility of policy instruments and the inherent uncertainty in attributing reform to specific recommendations. The potential for R2R Mapping to be adapted for application to other investigative and oversight bodies that produce recommendations aimed at reducing preventable deaths is also discussed. 2026-253-recommendation-to-reform-mapping-a-method-for-tracing-the-policy-influence-of-coronial-recommendations Applying multiple methods to explore access to justice Kerryn Butler en false https://conferences.acspri.org.au/2026/talk/ZK7LBB/ https://conferences.acspri.org.au/2026/talk/ZK7LBB/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-25T11:15:00+11:00 11:15 00:15 Interdisciplinarity is commonly understood as the integration of knowledge from two or more distinct academic disciplines in scientific collaboration. Rather than treating interdisciplinarity solely as an outcome of knowledge integration, this study conceptualises it as the product of ongoing boundary negotiations among researchers from different disciplinary traditions (Gieryn, 1983). Existing studies predominantly assess interdisciplinarity at the level of publications, authors, journals, research fields, and formal organisational arrangements such as research centres, laboratories and grant scheme (Wang & Schneider, 2020). Less attention has been paid to cohesive collaborative communities formed through researchers’ informal collaborative ties, for example professional networks, conference interactions, and long-term interpersonal relationships, that may transcend organisational boundaries (Calvert, 2024). Examining such communities provides an opportunity to investigate how disciplinary boundaries are maintained, negotiated, or crossed within collaborative research. Furthermore, existing interdisciplinary measures often implicitly assume that diversity scores are comparable across collaborations of different sizes (Porter & Rafols, 2009). However, group size constrains the maximum variety could be achieved, while group size and variety jointly constrain the range of possible diversity values. As a result, observed diversity should not be interpreted independently of the structural opportunities available to a collaboration. While existing measures quantify disciplinary diversity, they do not indicate whether a collaboration exhibits lower, expected, or higher diversity relative to its structural conditions. Consequently, they provide limited insight into whether diversity reflects structural characteristics of a collaboration, or active processes of disciplinary boundary maintenance and boundary crossing. To address these gaps, we propose a framework that uses maximal clique as the unit of collaboration and residualised Shannon entropy as a measure of disciplinary boundary permeability. By modelling expected disciplinary diversity as a function of clique size and disciplinary variety, the framework evaluates interdisciplinarity relative to the structural opportunities available to each collaboration. This approach enables the identification of collaborative communities that exhibit higher or lower levels of boundary work than would be expected from their size and disciplinary composition. We subsequently classify maximal cliques into three types based on residualised Shannon entropy and interpret them through the lens of boundary work. Boundary-maintaining cliques have negative residual values, indicating lower observed diversity than expected.; boundary-neutral cliques have residual values close to zero, indicating diversity levels consistent with structural expectations; and boundary-crossing cliques have positive residual values, indicating higher observed diversity than expected. To demonstrate the proposed framework, we constructed a coauthor network of 6,730 authors from1,909 smart cities research articles published in 2022 indexed in Scopus. Maximal clique analysis identified 1,356 collaboration communities with at least 3 members. The overall residual diversity scores were negative (mean = -0.24, median = -0.49), with 58% of cliques were classified as boundary-maintaining (mean = -0.74), 24 % as boundary-neutral (mean = 0), and 18% as boundary-crossing (mean = 0.11). These findings suggest that while smart cities research is commonly characterised as interdisciplinary (Bibri, 2019), collaborations in this field largely maintained disciplinary boundaries with only a minority actively crossed disciplinary boundaries beyond what would be expected from their structural characteristics. The proposed framework enables identification of informal collaborative communities that are observable only through co-author networks. It also disentangles structural opportunities from boundary work by distinguishing expected diversity from observed diversity. By doing so, it shifts attention from interdisciplinarity as an aggregated outcome to the ongoing processes through which disciplinary boundaries are maintained, negotiated, and crossed within collaborative communities. 2026-280-measuring-the-structure-and-permeability-of-disciplinary-boundaries-in-scientific-collaboration Social Network Analysis (Abstracts reviewed by the ASNAC committee) Xiaolan CaiMathieu O'Neil en false https://conferences.acspri.org.au/2026/talk/NRKNNQ/ https://conferences.acspri.org.au/2026/talk/NRKNNQ/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-25T11:30:00+11:00 11:30 00:15 This study addresses a gap in research on AI agents and online communication by examining how interactions among AI agents are organised and how their relational structures compare with those found in human online communities. Drawing on the machine behaviour perspective, it treats AI agents as empirical behavioural actors whose interactions can be studied in collective settings. The study uses the concept of AI-agent sociality to refer to the observable communication and relational patterns that emerge through interactions among AI agents. Moltbook provides a useful case because it offers a large-scale live platform environment for observing interactions among AI agents. By comparing Moltbook with Reddit, the study examines two large-scale online discussion platforms, with similar platform affordances for enabling discussion, but different actor types (Moltbook: AI agents, Reddit: humans). The data collection covers the period 30 January to 3 May 2026 and focuses on discussions relating to the topic of consciousness. The analysis focuses on reply-tree structures and actor-level reply networks. Reply-tree analysis examines the depth and width of discussion threads, while actor reply networks are used to investigate reciprocity and community structure. The results reveal clear differences between the two platforms. Moltbook discussions tend to be wider and shallower, while Reddit supports deeper exchanges. Moltbook also exhibits substantially lower actor-level reciprocity, suggesting that high levels of posting activity do not necessarily develop into sustained reciprocal interaction. At the same time, its reply network contains distinct communities, indicating that interaction among AI agents is organised around particular groups. Overall, the findings suggest that AI-agent sociality should be examined not only through the presence or volume of interaction, but also through the relational structures that emerge from it. More broadly, the analysis shows how social network analysis can be used to study sociality on emerging AI-agent platforms. 2026-328-comparing-interaction-networks-on-ai-agent-and-human-online-discussion-platforms-a-case-study-of-moltbook-and-reddit Social Network Analysis (Abstracts reviewed by the ASNAC committee) /media/2026/submissions/TP3VHA/Fig31_Lianfei_Liu_masters_thesis_11c7Vw3_O9yYKFN.webp Robert Ackland en false https://conferences.acspri.org.au/2026/talk/TP3VHA/ https://conferences.acspri.org.au/2026/talk/TP3VHA/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-25T11:45:00+11:00 11:45 00:15 Childfree adults do not have or want children. Although they often experience social stigma and are subject to negative stereotypes, few studies have directly examined childfree adults' social networks. In this study, we examine whether childfree adults' networks of close relationships differ in size and composition from those of parents. Using representative egocentric network data in the United States from the CHIP50-NET survey, we tested three pre-registered hypotheses regarding the size and composition of 2,928 childfree adults' and 12,863 parents' networks. Compared to parents, childfree adults had significantly smaller networks, especially in middle age. Additionally, on average, a minority (44%) of childfree adults' close relationships were with parents, while a majority (62%) of parents' close relationships were with other parents. The differences between childfree adults and parents in network size and composition are modest, but call for further research on this gap's implications for childfree adults' well-being and risk of lower social support. 2026-268-comparing-us-childfree-adults-and-parents-networks-of-close-relationships-size-and-composition Social Network Analysis (Abstracts reviewed by the ASNAC committee) Jennifer Watling NealZachary Neal en false https://conferences.acspri.org.au/2026/talk/SMKXM8/ https://conferences.acspri.org.au/2026/talk/SMKXM8/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-25T12:00:00+11:00 12:00 00:15 Basketball depends on players working together. Statistics such as points, assists, shooting efficiency, rebounds, and turnovers tell us what players and teams produced, but they do not show who worked with whom. Two teams can record the same number of assists through different patterns of interaction. One may repeatedly use a few player combinations, while another spreads assisted scoring across many pairs. Examining these relationships may help us understand aspects of team play that aggregate statistics leave out. This study asks how assist-scorer interactions are organised within professional basketball teams and how these patterns relate to game performance. It also examines whether the findings change when assisted scoring is measured as a total count or relative to the points a team scores. This exploratory study reports initial findings from the 2025–26 Australian National Basketball League season as the first stage of a planned multi-season analysis. Play-by-play data were used to construct 351 complete team-game networks from 10 teams across 176 matches. Each network represents one team in one game. Players involved in recorded assist-scorer interactions are the nodes. An assist from Player A leading to a made score by Player B creates a directed connection from A to B, weighted by how often that interaction occurred. These networks capture recorded assisted scoring rather than all passing or teamwork. We measured interaction volume, directed density, reciprocity, and the number of players involved. Density describes the proportion of possible directed connections that occurred among involved players; reciprocity describes whether players assisted one another in both directions. Linear regression modelled point differential, and logistic regression modelled win/loss. Both models included the network measures, team and opponent as categorical fixed effects, and home/away status as a covariate. Match-clustered robust standard errors accounted for dependence between opposing observations from each match. Preliminary analyses found that greater interaction volume was associated with a higher point differential and higher odds of winning. This positive association remained when all matches involving each team were excluded in turn. However, every interaction already involves a made score, so this finding alone does not establish a performance advantage associated with a particular network structure. Structural findings were less consistent. Density was negatively associated with winning when the model included total interactions, but positively associated when the total was replaced by interactions per 100 team points. This interaction rate showed no clear association in simpler adjusted models and became negative when density and player involvement were included together. Previous-game network measures also showed no clear associations with next-game outcomes. These findings highlight the need to distinguish how much assisted scoring occurs from how it is organised across teammates. Networks describe player-pair relationships that team totals omit, but the current analyses do not identify a consistently successful pattern of play. Following abstract submission, the analysis will be extended to additional seasons to assess whether the observed relationships remain consistent. 2026-317-beyond-assist-counts-interaction-structure-and-team-performance-in-professional-basketball Social Network Analysis (Abstracts reviewed by the ASNAC committee) Syahmi en false https://conferences.acspri.org.au/2026/talk/BP8D7Q/ https://conferences.acspri.org.au/2026/talk/BP8D7Q/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-25T12:15:00+11:00 12:15 00:15 Migrant, refugee and asylum-seeking women experience mental wellbeing and service navigation within complex social fields shaped by migration histories, gendered expectations, language, socioeconomic pressures, cultural difference, family responsibilities and particularities of local health and social services. In South-West Sydney, these determinants intersect with high cultural and linguistic diversity and concentrated socioeconomic inequities in access to appropriate mental health supports. The Care Navigation for Culturally and Linguistically Diverse (CaNCALD) Women’s Project is a place-based, participatory action research project that centres the knowledge and lived experience of women, community members and service providers. It seeks to understand how women experiencing mental health concerns navigate community, social and health systems that shape their wellbeing, identify community assets that already sustain wellbeing, and inform co-designed responses that strengthen person-centred and culturally responsive systems. This paper presents preliminary findings from a social network mapping analysis embedded in the project’s first phase. For this phase, we conducted semi-structured interviews with 23 migrant, refugee and/or asylum-seeking women with lived experience of mental health concerns, as well as with 29 health and service providers, and community leaders in South-West Sydney. Interview data were first examined through social determinants of mental health, assets-based community development and actor-network theory lenses. Social network analysis was used to map the dynamic and interconnected system of factors affecting women’s mental wellbeing and navigation of community, social and health systems, and then overlayed with an Action Scales Model (ASM) to identify leverage areas for intervention. Adopting the four ASM classifications of ‘events’, ‘structures’, ‘goals’ and ‘beliefs’ helps locate these issues within wider patterns of relationships, resource flows, service expectations and norms, enabling us to identify leverage points for intervention at multiple levels. Cutting through the vast complexity of factors and data, social network analysis made visible the actors and connections shaping women’s navigation journeys at different scales. Preliminary analysis suggests that women’s navigation of community, social and health systems is not organised around a single pathway, but through a dispersed and relational network of structural factors and interpersonal supports. Housing stress, income insecurity, family and caring responsibilities, trauma, English proficiency, service complexity and perceptions of safety shape not only women’s wellbeing, but also the pathways through which support becomes visible, trusted and reachable. At the same time, the network reveals important assets, including culturally grounded community spaces, women’s groups, practical assistance, informal interpreting and accompaniment, and relationships with workers who bridge community and service systems. Overlaying the ASM onto the social network map helps distinguish prominent service-navigation issues from the deeper structures, goals and beliefs that sustain them. These preliminary findings helped inform the second and third phases of this participatory research project. They provide rich information for a co-design team of women (including community members and service providers) to design, prototype, and test pilot interventions that improve how migrant, refugee and asylum-seeking women experiencing mental health concerns navigate community, social and health systems. From analysis to action, this presentation invites reflection on how social network mapping is a useful methodology for participatory, place-based mental health equity work by illuminating the vulnerabilities and strengths in the systems that women navigate. 2026-273-mapping-pathways-to-wellbeing-social-network-analysis-of-system-navigation-among-migrant-refugee-and-asylum-seeking-women-experiencing-mental-health-concerns-in-south-west-sydney Social Network Analysis (Abstracts reviewed by the ASNAC committee) Jinwen Chen en false https://conferences.acspri.org.au/2026/talk/NPTBAN/ https://conferences.acspri.org.au/2026/talk/NPTBAN/feedback/ MacCallum Room Short workshop 2026-11-25T13:30:00+11:00 13:30 01:30 In this hands-on workshop, participants will learn the fundamentals of estimating Exponential Random Graph Models (ERGMs) and Auto-Logistic Actor Attribute Models (ALAAM) with MPNet – a software developed to investigate the structural features of networks and how such structure may affect individual outcomes. ERGM for multilevel networks enable researchers to investigate the influence of structure at one level of analysis on structure at a different level, while taking into account the complex interdependencies that exist within and between levels. For instance, interpersonal networks between managers at the micro-level might interact with alliance networks of the organizations they are nested in. Throughout the workshop, participants will work through short exercises to get familiar with the graphical user interface and output of the MPNet software. We will discuss various case-study examples that will provide the participants with a good understanding of the possibilities that multilevel ERGMs offer for social scientists. 2026-310-multilevel-network-analysis-using-ergm-and-mpnet Social Network Analysis (Abstracts reviewed by the ASNAC committee) Peng Wang en false https://conferences.acspri.org.au/2026/talk/7LJSWX/ https://conferences.acspri.org.au/2026/talk/7LJSWX/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-25T15:45:00+11:00 15:45 00:15 Sustainability transitions involve changes across technologies, markets, policy, infrastructure, and institutions. Multiple organisations contribute to these changes across organisational boundaries. These organisations differ in their priorities, interpretations, and roles, yet their activities may be interdependent. Inter-organisational networks bring these actors together around formally articulated ambitions for systemic change. However, a shared ambition and participation in network activities do not, on their own, explain collective action within an ongoing sustainability transition. This study examines what the network's relational structure and participants' understandings of the transition reveal about collective action. The study focuses on an inter-organisational network spanning more than 50 organisations across Australia's timber and construction sectors. An explanatory sequential mixed-methods design guides the analysis across three phases. Phase 1 applies whole-network social network analysis (SNA) to administrative and documentary data to examine patterns of participation, community structure, core–periphery organisation, brokerage, and governance positions. The structural analysis informs purposeful sampling for Phase 2, with participants selected from different structural positions across the network. Phase 2 draws on semi-structured interviews with selected network participants and organisational materials. An iterative interpretive qualitative analysis examines how participants understand the sustainability transition and how these understandings relate to the network's formally articulated direction for change. Phase 3, currently in progress, integrates the relational and interpretive findings to examine collective action within the network. Neither structural positions nor participants' understandings are treated as sufficient evidence of collective action on their own. The integration considers what these dimensions reveal about collective efforts within an inter-organisational network established to pursue long-term systemic transformation during an ongoing sustainability transition. 2026-270-holding-together-a-mixed-methods-social-network-analysis-of-collective-action-in-a-sustainability-transition Social Network Analysis (Abstracts reviewed by the ASNAC committee) /media/2026/submissions/QWMSQQ/MMSNA_Research_Design_Catalina_Espinosa_2_IqF8yli_6_FuOy0Ur.webp Catalina Espinosa en false https://conferences.acspri.org.au/2026/talk/QWMSQQ/ https://conferences.acspri.org.au/2026/talk/QWMSQQ/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-25T16:00:00+11:00 16:00 00:15 Intervention projects often aim to impact the social networks of those who are participating. Using a social ecology Theory of Change, the ‘Common Ground Project: Future Fit Masculinities’ is a consortium project funded by the Department of Social Services aiming to reduce violence attitudes and improve masculinity attitudes in boys and young men in secondary schools. The project used a combination of Tomorrow Man (TM) education workshops for older boys, Foundation for Positive Masculinity (+M) curriculum education for the younger ones, and social network analysis to observe changes in social ties but also attitudes. Results showed that compared with baseline, there is statistically significant evidence for both +M and TM that harmful masculinity attitudes are significantly reduced after programs/workshops for males. Additionally, there is a large and significant decrease for harmful masculinity attitudes by influence nominations, indicating that such influential endorsers of a negative masculinity have (a) changed their attitudes to be more pro-equity and (b) have lost some of their influence. 2026-334-impacting-networks-in-interventions-the-common-ground-project Social Network Analysis (Abstracts reviewed by the ASNAC committee) Dean Lusher en false https://conferences.acspri.org.au/2026/talk/YVSHPA/ https://conferences.acspri.org.au/2026/talk/YVSHPA/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-25T16:30:00+11:00 16:30 00:15 How people respond to environmental decline can reduce pressure on ecosystems or intensify it. We examine factors leading some fishers to respond to declining reef fish abundance by fishing harder, focusing on how they perceive the cause of decline and how they are connected to other fishers and marine resources. We do so by drawing on comprehensive structured survey and network data from 656 reef fishers across five co-managed coastal communities in Kenya. Among fishers who perceived declining abundance, we distinguished between endogenous causes arising within the fishery, such as overfishing and illegal gears, and exogenous causes originating outside it or beyond local control, such as pollution and climate change. Most fishers (571/656) perceived a decline in reef fish abundance between 2015 and 2019, and nearly half of those (282/571) reported fishing harder in response – amplifying the declining reef fish abundance. Fishers who attributed resource declines to endogenous causes were more likely to fish harder than those who attributed it to exogenous causes, contrary to expectations that recognizing local causes should encourage restraint. Social relationships among fishers were unrelated to perceptions of, and responses to, decline, yet the overlap between social relationships and resource dependence mattered. Specifically, fishers connected to others targeting the same resources were less likely overall to attribute decline to local causes but were more likely to do so when those connected fishers shared that interpretation. These shared-resource relationships, and dependence on multiple ecologically connected resources, were also associated with fishing harder. Our findings show that relationships among people and resources can shape both how environmental change is understood and how people respond. Structures that could support coordination may also intensify competition when confidence in community-wide restraint is limited, creating feedbacks that further threaten fisheries sustainability. 2026-272-amplifying-responses-to-environmental-decline-social-ecological-embeddedness-and-perceptions-of-causal-attribution Social Network Analysis (Abstracts reviewed by the ASNAC committee) Henry Bartelet en false https://conferences.acspri.org.au/2026/talk/P7F7BE/ https://conferences.acspri.org.au/2026/talk/P7F7BE/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-25T16:45:00+11:00 16:45 00:15 How do organizational members come to recognize someone outside their own area of expertise as a leader? Leadership identity research conceptualizes leadership as socially constructed through processes of claiming and granting, yet granting has largely been understood as arising through direct interaction between potential leaders and followers. We argue that this dyadic view becomes incomplete when leadership crosses expertise boundaries, where actors may lack the shared knowledge and evaluative criteria needed to assess one another directly. In such settings, advice networks may provide relational cues through which expertise becomes visible and leadership can be granted. We examine this argument using whole-network data from 228 healthcare professionals involved in a multidisciplinary breast-cancer clinical pathway. We model leadership recognition as a directed network and examine its association with formal managerial role and direct and indirect advice relations using exponential random graph models. Our primary analysis focuses on leadership recognition across professional boundaries, with within-profession leadership providing a theoretically meaningful reference case. Formal managers are more likely to be recognized as leaders across professional boundaries, but formal position does not account for the broader relational pattern of leadership recognition. Cross-professional leadership is strongly aligned with direct advice relations and, importantly, is associated with indirect advice pathways connecting actors through third parties. These pathway effects are substantially more evident across than within professional boundaries. We contribute to leadership identity and organization theory by extending the granting of leadership from a predominantly dyadic process to a network-embedded one. Our findings suggest that, across expertise boundaries, leadership recognition is supported by advice structures through which otherwise difficult-to-evaluate expertise becomes visible. 2026-309-granting-leadership-across-expertise-boundaries-how-advice-networks-shape-cross-professional-recognition Social Network Analysis (Abstracts reviewed by the ASNAC committee) Peng Wang en false https://conferences.acspri.org.au/2026/talk/GRF3HB/ https://conferences.acspri.org.au/2026/talk/GRF3HB/feedback/ Cullen Room Presentation (abstract reviewed) 2026-11-25T11:00:00+11:00 11:00 00:15 The Australian Survey of Social Attitudes (AuSSA), Australia's component of the International Social Survey Programme (ISSP), is an important annual survey of Australian citizens enrolled on the Australian electoral roll. Covering a wide range of social, political, and economic topics, the AuSSA provides valuable data for researchers studying Australian public opinion and social issues. However, like many surveys that rely on voluntary participation, the AuSSA exhibits a persistent left-of-centre bias—an overrepresentation of respondents who vote for or identify with parties on the political left. This bias persists even after applying standard post-stratification weights based on official population benchmarks from the Australian Bureau of Statistics. While multivariate models can often account for such bias by including relevant covariates, this option is not available for simple descriptive estimates such as means or proportions, which are typically adjusted only using standard demographic weights. Given that descriptive estimates are important outputs from survey data, this limitation has practical consequences for the accuracy and credibility of their estimates. This paper compares three approaches to adjusting AuSSA’s survey weights for partisan bias. Each approach retains the standard post-stratification by sex, age, and education, and adds a raking step to one political benchmark: the 2023 Voice referendum, first-preference votes at the last federal election, or current voting preferences based on the average of national opinion polls. The paper discusses the advantages and disadvantages of each approach and evaluates the extent to which the adjusted weights improve the representativeness of key survey estimates. 2026-293-adjusting-for-partisan-bias-in-a-nationally-representative-survey-of-australian-citizens The Australian Survey of Social Attitudes (AuSSA) Markus Hahn en false https://conferences.acspri.org.au/2026/talk/NEB9JY/ https://conferences.acspri.org.au/2026/talk/NEB9JY/feedback/ Cullen Room Presentation (abstract reviewed) 2026-11-25T11:15:00+11:00 11:15 00:15 Participation in arts and cultural activities is widely recognised as contributing to people’s wellbeing and social connectedness. In an online environment, people are increasingly going online to share, connect, create and experience arts and culture. This study examines the relationship between engagement in arts and creative activities online and wellbeing, focusing on loneliness. Loneliness is an important public health issue. Existing research has largely emphasised the positive relationship between arts participation and wellbeing, particularly through opportunities for social interaction, expression and community connection. People increasingly participate in online creative activities, which also has a potential for connection, accessibility and emotional support. Less is known about how experiences of loneliness relate to online creative participation, or about how individuals might anticipate feelings of loneliness should they be disconnected from the internet. Drawing on data from the Australian Survey of Social Attitudes 2024 (n=985), this study examines the relationship between engagement in online creative activities and loneliness. Hierarchical multiple regression analysis was used to assess whether online creative engagement was associated with loneliness after accounting for demographic and socioeconomic characteristics. The findings reveal a nuanced relationship between digital creative participation and loneliness. Online creative engagement was initially positively associated with loneliness, indicating that respondents who participate more frequently in creative activities online are also more likely to report loneliness as a serious problem. Younger respondents were also significantly more likely to experience loneliness. However, when feeling lonely without the internet was entered into the model, it emerged as a strong predictor of general loneliness, while the association between online creative engagement and loneliness was no longer statistically significant. Age remained an important predictor, while degree holders reported lower levels of loneliness than those without a degree. These findings highlight the need for a more nuanced understanding of how online creative participation relates to loneliness. The positive association between online creative participation and loneliness reflects the importance of how creative activities are linked to people’s emotional and social connection to others. When accounting for participants’ self-reports of feeling lonely without the internet, the relationship between online creative participation and loneliness was no longer significant. This suggests that the relationship may be linked to individuals’ general reliance on online environments to connect and interact with others, rather than creative participation itself. Participating in online creative activities may be driven by a person’s loneliness, and their attempt to overcome it through these online activities that facilitate social connection. Digital creative spaces may provide opportunities for expression, connection, entertainment and participation, particularly when offline forms of social connection are limited. The study contributes to emerging research on digital cultural participation and wellbeing by demonstrating the importance of considering creative engagement along with individuals’ broader experiences of online connection. The findings suggest a more nuanced relationship in which online creative participation may form part of the ways individuals navigate loneliness and maintain social and emotional connections. Future longitudinal research should investigate the potentially reciprocal relationships between loneliness, digital connectedness and online creative participation. 2026-279-loneliness-and-online-creative-engagement-evidence-from-a-national-australian-survey The Australian Survey of Social Attitudes (AuSSA) Jee Young LeeSora ParkScott BrookNhung Nguyen en false https://conferences.acspri.org.au/2026/talk/UHMNPW/ https://conferences.acspri.org.au/2026/talk/UHMNPW/feedback/ Cullen Room Presentation (abstract reviewed) 2026-11-25T11:30:00+11:00 11:30 00:15 This presentation examines how the Australian Survey of Social Attitudes (AuSSA) can be used as a tool to investigate arts and cultural participation across different areas of social life and to inform subsequent survey research. It draws upon three AuSSA editions in relation to arts participation and well-being. Creative Australia is the Federal Government’s arts investment and advisory body. Among its various functions, the organisation conducts and commissions research on the arts and cultural sector, aiming to support open discussion about creative activity, to inform arts policy, and to equip the sector with information to work strategically and accountably. Creative Australia is also a member of ACSPRI and, through this membership, can add additional questions to the AuSSA. To date, Creative Australia and our partners at the University of Canberra and RMIT University have published three research reports that use data collected through the AuSSA to explore the relationship between arts engagement, health, wellbeing and socio-economic factors: Widening the Lens: Social Inequality and Arts Participation, Creating Wellbeing: Attitudes and engagement with arts, culture and health, and Digital Creativity: Online creative engagement and social connection. In 2019, the topic for AuSSA was social inequality, which offered Creative Australia (then the Australia Council for the Arts) an opportunity to consider the connection between arts participation and social background and attitudes towards social inequality in Australia. The results of this analysis, published in Widening the Lens, showed that arts participation is linked to social class, with arts engagement increasing with higher levels of education, greater household income, and higher self-identified social class. In addition, further analysis demonstrated that an individual’s cultural engagement is influenced not only by their own education, income and occupation, but also by the occupational class of their parents. The main theme of the 2021 AuSSA was health and healthcare, with questions on a range of healthcare issues including personal physical and mental health, attitudes towards healthcare issues such as vaccination, and trust and confidence in the health care system. The 2021 AuSSA allowed Creative Australia to examine the connection between arts, culture, health and wellbeing. The findings, published in Creating Wellbeing, showed that most Australians agree that engaging in the arts can have a positive impact on their health and wellbeing, and most are also open to ‘arts on prescription’. It also found that arts participants tend to have higher confidence in, and more favourable attitudes towards, the healthcare system. The 2024 AuSSA was focused on digital societies, and Creative Australia used this opportunity to examine individuals’ engagement with digital creativity, adding questions on types and motivations for digital creative engagement. The resulting report, Digital Creativity, found that most Australians engage with digital creativity in some form. Those who engage with digital creativity are more likely to report loneliness than those who do not, with the link between loneliness, trust and engagement with digital creativity strongest of all in younger people. Though the data collected through the AuSSA are not sufficient to show causality, identifying correlations can uncover relationships that can be investigated through further research, such as Creative Australia’s triennial National Arts Participation Survey. For example, the AuSSA questions on digital societies were used to update the 2025 National Arts Participation Survey with new questions relating to digital engagement with the arts. These three reports demonstrate how the AuSSA is an invaluable tool to understand the link between arts participation and the health and wellbeing of Australians, and how it can be used to inform the design of future research - not only in the arts, but also in other fields of inquiry. 2026-300-australians-and-the-arts-examining-relationships-between-arts-participation-health-and-socio-economic-factors-in-australia-using-the-aussa The Australian Survey of Social Attitudes (AuSSA) Belinda Balhatchet en false https://conferences.acspri.org.au/2026/talk/PGWUCX/ https://conferences.acspri.org.au/2026/talk/PGWUCX/feedback/ Cullen Room Presentation (abstract reviewed) 2026-11-25T11:45:00+11:00 11:45 00:15 Open-text questions can add qualitative depth to large-scale surveys, but their value depends on how the resulting text is analysed and interpreted. This paper examines what short qualitative survey data can contribute to the study of complex social behaviour. It uses free-text accounts of how people responded to workplace discrimination and harassment in the 2025 Australian Survey of Social Attitudes (AuSSA) as a case study. Participants who reported experiencing or witnessing workplace discrimination or harassment in the previous five years were asked, in their own words, what actions they took or who they spoke with. We analysed data from 301 participants, producing 215 accounts from targets and 243 from bystanders. We used directed content analysis, drawing the initial coding structure from existing frameworks of target and bystander behaviour. These frameworks supported comparison with previous research and anchored interpretation in the existing evidence base. They also provided a useful discipline in a sensitive area where assumptions about how targets or bystanders “should” respond can reproduce misleading or harmful stereotypes. Using established frameworks helped make our own interpretive assumptions more visible and reduced the risk that those stereotypes would inadvertently shape coding categories. Additional categories were developed where accounts could not be accommodated within the a priori schemes. The analysis used a coding-reliability design. Two coders applied a fixed codebook independently, agreement was assessed statistically, and disagreements were resolved by consensus. Both coders also kept analytic notes throughout the process to record observations not captured by the coding structure. The qualitative data revealed complexity that would have been difficult to capture through closed-response categories showing how context could change the interpretation of behaviour. Leaving a workplace, for example, sometimes followed unsuccessful attempts to seek help or resolve the problem through formal channels, complicating its interpretation as a passive response. Accounts of taking no action also distinguished between seeing no need to act and perceiving available pathways as ineffective, unsafe or blocked. These distinctions illustrate the risks of interpreting behavioural categories without considering the circumstances participants describe. The analysis also highlights the limits of short qualitative survey data. Accounts were often too brief to establish chronology, intent or outcome with confidence. This case study demonstrates the value of combining systematic coding with attention to the context and limitations of individual accounts. Open-text questions can complement closed-response measures by preserving participants’ framing and revealing distinctions that predefined categories may overlook. 2026-294-from-open-text-to-analysis-qualitative-survey-methods-for-studying-responses-to-workplace-harassment-and-discrimination-in-aussa The Australian Survey of Social Attitudes (AuSSA) Emily Kothe en false https://conferences.acspri.org.au/2026/talk/NFEWVX/ https://conferences.acspri.org.au/2026/talk/NFEWVX/feedback/ Cullen Room Short workshop 2026-11-25T13:30:00+11:00 13:30 01:30 In this workshop David from SDAS will share with you some simple approaches to integrate AI into your work with Stata. Learn how to use generative AI tools like ChatGPT or Gemini to enhance your work with Stata. This workshops covers tips and techniques to integrate these features into your workflow for generating programs, checking existing commands and interpreting results. Machine learning in Stata with H2O will also be briefly covered. 2026-240-stata-with-ai Generative AI / LLMs in social research David White en false https://conferences.acspri.org.au/2026/talk/C3MJRX/ https://conferences.acspri.org.au/2026/talk/C3MJRX/feedback/ Cullen Room Presentation (abstract reviewed) 2026-11-25T15:30:00+11:00 15:30 00:15 Civil society organisations are increasingly shaping what data sovereignty means by reframing governance, rights, and ethical frameworks regarding the use of personal data. Engagement of civil society organisations in the debates challenge the established conception of data sovereignty held by nation-states and multinational corporations, which often treat personal data as an instrument of control, geopolitical power, and commercial profit. This research attempt to address how civil society organisations frame data sovereignty issues and how does their framing inform the struggles for equitable data practices in increasingly datafied societies? Using a field-theoretic approach in combination with social network analysis, this study identified the social structure of organisations and their relational position in online network. Based on social structure, organisations in this thesis are classified into three analytically distinct field positions: ‘Complex’, ‘Glocal’, and ‘Local’. This classification reflects how organisations accumulate and mobilise two key forms of capital (economic capital and cosmopolitan capital). Based on social relations, two standard measures from social network analysis (indegree centrality and outdegree centrality) are used to capture organisational ‘popularity’ and ‘activity’ in online network. With this approach, organisations are classified into four relational roles: ‘Authority’ (high indegree, low outdegree), ‘Influencer’ (high indegree, high outdegree), ‘Initiator’ (low indegree, high outdegree), and ‘Observer’ (low indegree, low outdegree). Examining the relation between field position and frame engagement of 289 data sovereignty organisations, this study found that the more prominent an organisation's field position, the less likely it is to adopt the national-state frame, and the more likely it is to engage with the individual-person frame as its primary discursive strategy. This gradient reflects the logic of the field where organisations with more prominent field position operate across national jurisdictions and much rely on transnational legitimacy structures such as international standards bodies, global civil society coalitions, and cross-border regulatory networks. On the contrary, smaller organisations with limited network recognition struggle in a field in which the state remains the most proximate and accessible source of institutional protection, making national-state framing a rational discursive alignment. The community-collective frame occupies a rather middle ground. These patterns suggest that data sovereignty is not a single discursive project but a stratified one. What organisations state about data is inseparable from where they position in the field. Organisations with higher field status translate equity, fairness, and justice claims into the language of international standards, multi‑stakeholder coalitions, and cross‑border regulatory norms, thereby making equitable data practices legible to global platforms and regulators. Meanwhile, locally rooted organisations frame data sovereignty in national terms which makes rights‑based, territorially anchored remedies more practicable for addressing local harms. Keywords: data sovereignty, field, organisation, social network analysis 2026-263-a-field-theoretic-analysis-of-how-civil-society-organisations-frame-data-sovereignty-issues Computational social science Sidiq Madya en false https://conferences.acspri.org.au/2026/talk/Q8BT3H/ https://conferences.acspri.org.au/2026/talk/Q8BT3H/feedback/ Cullen Room Presentation (abstract reviewed) 2026-11-25T15:45:00+11:00 15:45 00:15 Estimating the prevalence of smoking and vaping in culturally and linguistically diverse communities using Multilevel Regression and Poststratification Dinah Lope, Andrew Ward, Emily Baker, Eve Mitsopoulos Track: Computational social science Keywords: Small Domain Estimation, Multilevel Regression and Poststratification Traditional survey estimation techniques perform well when sample sizes are sufficiently large across broad geographic regions or demographic groups. In these settings, response proportions can be estimated reliably using established methods (Valliant et al., 2018). However, these approaches often perform poorly for small geographic areas or population subgroups, where limited sample sizes can lead to unstable, highly variable estimates that may not accurately reflect the target population. To address this challenge, researchers increasingly use model-based approaches that combine survey data with auxiliary information from sources such as the Australian Bureau of Statistics Census of Population and Housing. This paper presents Multilevel Regression and Poststratification (MRP) as a method for producing small-domain estimates. MRP consists of two key stages (Gelman & Little, 1997; Park et al., 2006; Downes et al., 2018). First, a multilevel regression model is fitted to survey data to estimate the relationship between respondent characteristics and survey outcomes. Second, poststratification adjusts these model-based estimates using the population distribution of those characteristics within each domain. By combining survey responses with population-level demographic data, MRP borrows strength across related groups and domains, producing robust estimates for small populations and geographic areas where direct survey estimates may be unreliable. We demonstrate this approach using the 2022 Victorian Smoking and Health Survey, a cross-sectional telephone survey of a population-representative sample of Victorians aged 18 years and older. Prevalence was estimated by main language spoken at home, country of birth and year of arrival in Australia. Our contribution supports the ongoing development of methodologies aimed at improving the accuracy and relevance of population estimates in domains where traditional survey methods are constrained by declining response rates, limited coverage, and the challenges of reaching specific population groups. In particular, the findings can help identify priority CALD communities for targeted smoking cessation initiatives in Victoria – guiding community engagement and service delivery planning to maximise the reach and effectiveness of cessation efforts in populations with the greatest need. 2026-284-estimating-the-prevalence-of-smoking-and-vaping-in-culturally-and-linguistically-diverse-communities-using-multilevel-regression-and-poststratification Computational social science Dinah Lope en false https://conferences.acspri.org.au/2026/talk/JFWEF7/ https://conferences.acspri.org.au/2026/talk/JFWEF7/feedback/ Cullen Room Presentation (abstract reviewed) 2026-11-25T16:15:00+11:00 16:15 00:15 A social licence to operate (SLO) refers to the ongoing acceptance of organisations and their activities by communities and the wider public. Moving beyond basic regulatory compliance and evolving into broader social accountability, this concept helps to explain why and how communities come to approve or reject the organisations that affect them. However, applying a framework of social licence used in one industry to another presents a methodological challenge: identifying the common drivers of acceptance while adapting the approach and interpretation to the local, social, and institutional contexts that are unique to each industry and community. Drawing on a methodology developed in CSIRO, Australia’s national science agency, and then advanced and operationalised by Voconiq for the extractive industries, this presentation outlines how social research can be integrated with data science to measure and track SLO across different sectors. The method combines intentional survey design, repeated measurement, reproducible data processing, and theory-driven path modelling. Path analyses examine relationships between trust, acceptance, perceived impacts, fairness, and industry responsiveness (among other factors), while qualitative comments provide an additional lens into community experience. This approach allows for the recurring versus circumstantial predictors of social performance to be systematically explored. Incorporating close to a decade of longitudinal data, this presentation highlights the Australian egg industry’s community research program as an applied case study. A core set of survey questions has enabled comparison of national attitudes and perceptions of the egg industry over 9 years, using representative adult samples. In 2026, industry responsiveness ranked first among the modelled drivers of trust, while clear labelling was the strongest predictor of industry support when considering the relative costs and benefits of its operation. Findings from this body of work illustrate how a conceptual framework first applied in mining can guide research in other industries to understand the shared and distinct relationships underpinning social performance. As part of the case study’s discussion, particular attention goes to sampling and recruitment, measurement comparability, longitudinal inference, and interpretation of path models within their broader setting. Overall, we demonstrate how social science theory and computational methods can combine to compare SLO across contexts, distinguishing drivers of community trust and acceptance that are broadly transferable from those that provide unique community insights. 2026-312-measuring-social-licence-across-contexts-integrating-data-science-with-social-research-theory Computational social science Djamila Eliby, PhD en false https://conferences.acspri.org.au/2026/talk/THR3GA/ https://conferences.acspri.org.au/2026/talk/THR3GA/feedback/ Drawing Room Short video (abstract reviewed) 2026-11-25T17:00:00+11:00 17:00 00:05 See: 'The ShadowMaster Scholarship Methodology for High Risk Organisational Studies' per the accompanying main Conference Proceedings Paper Presentation which this student video will compliment. 2026-307-the-shadowmaster-scholarship-methodology-for-high-risk-organisational-studies-student-video-competition Short videos Issiah Burckhardt-Bedeau en false https://conferences.acspri.org.au/2026/talk/F3KJU7/ https://conferences.acspri.org.au/2026/talk/F3KJU7/feedback/ Drawing Room Short video (abstract reviewed) 2026-11-25T17:05:00+11:00 17:05 00:05 Insider research can provide valuable access to contextual knowledge, shared language and professional understanding, while also raising methodological questions about familiarity, assumptions and researcher positionality. This short video reflects on these issues through a qualitative doctoral study exploring Grade 5 teachers’ perceptions and use of e-learning pedagogies in public primary schools in Bisha, Saudi Arabia. The study adopted an interpretivist, bounded case study approach with ethnographic and phenomenological sensitivity. Data were generated across three urban public primary schools through biographical narrative interviews with twelve Grade 5 teachers, documentary analysis, and a reflexive research journal. The researcher’s previous professional experience as a primary school teacher in the same regional context created a distinctive insider position within the research setting. Rather than treating insider status as a fixed advantage or limitation, the study conceptualises positionality as relational and continually negotiated. Shared cultural, linguistic and professional knowledge supported access, rapport and contextual understanding. At the same time, familiarity required ongoing attention to assumptions and to the distinction between participants’ accounts and the researcher’s prior knowledge and experience. Reflexive journalling provided an important means of documenting these methodological tensions throughout data generation and analysis. It supported critical reflection on how researcher experience, relationships and emerging interpretations shaped the research process. The video argues that insider research is better understood as an ongoing process of positional negotiation rather than a simple insider–outsider binary. It highlights reflexivity as a practical and analytical resource for making researcher positioning visible and methodologically productive in culturally situated qualitative research. 2026-289-researching-from-within-reflexivity-positionality-and-insider-research-in-a-saudi-primary-school-case-study Short videos Mosaed Al-shahrani en false https://conferences.acspri.org.au/2026/talk/NEBE7S/ https://conferences.acspri.org.au/2026/talk/NEBE7S/feedback/ Drawing Room Short video (abstract reviewed) 2026-11-25T17:10:00+11:00 17:10 00:05 A career in the visual arts is personally fulfilling but incredibly challenging to sustain. In Australia, many artists struggle to receive sufficient income from their practice alone. Artists have adapted their work lives to meet these challenges through engaging in a portfolio career that embraces many entrepreneurial qualities. Working as freelance, self-employed and micro business owners, artists operate within a network of people and organisations that provide various forms of support. Professional networks and the relationships within them have long been identified as critical to the success of any entrepreneur, including artists, and their ability to sustain their career. As such, much work has been undertaken in the field of business research to understand the role of business networks and their implications on business success. However, the contemporary networks of the Australian art market remain overlooked, particularly in terms of their relational and co-constructed nature. This ongoing study therefore responds to this knowledge gap and asks: what are the ways in which the Australian visual arts ecosystem supports artists to sustain their practice? As the study seeks to understand the relationships that support artists' careers, this is best explored through Social Network Analysis (SNA) and a mixed-method research design. Given the importance of networks within the Creative and Cultural Industries (CCI), SNA is particularly well suited to describing the functions of the network and to analysing and exploring the network in a structured and systematic way (Swords 2022). Studies using SNA in the CCI have produced the most significant results (de Bernard 2022) when approached with a mixed-method design. Sequential Explanatory Mixed Methods research (Creswell and Plano Clark 2018) allows the researcher to collect both quantitative data and human experience, which can be combined to elicit a deeper understanding of the research problem. Using mixed methods can solve the problem of abstraction, as quantitative measures of the network often require further explanation (Swords 2022). In this project, quantitative research is supplemented by qualitative methods in the form of interviews to provide deeper contextual understanding. This research also contributes to SNA as it demonstrates how mixed method research can be combined with SNA to move beyond describing the network to explaining why the structure and relationships matter to the sustainability of individual careers. This research sits at the intersection of social network science, cultural policy studies, entrepreneurship research, and arts practice showing how relational dynamics and networks can enable or constrain careers. This research has broad significance to the Australian visual arts ecosystem. A map of the visual art ecosystem which identifies the impactful networks may help artists at all stages of their career navigate challenges and sustain their practice. This short video is of interest to researchers from other creative fields as this method may be replicated in their own disciplines. Beyond the CCI, scholars interested in workforce precarity, labour markets and sustainable careers may find this perspective useful. This research also has implications for policymakers and funding bodies seeking to support a more sustainable and resilient visual arts sector. 2026-311-using-social-network-analysis-to-map-sustainable-careers-in-the-australian-art-market Short videos Michelle Carter en false https://conferences.acspri.org.au/2026/talk/UVVH7N/ https://conferences.acspri.org.au/2026/talk/UVVH7N/feedback/ Drawing Room Short video (abstract reviewed) 2026-11-25T17:15:00+11:00 17:15 00:05 In countries with widespread access to modern contraception, childbearing is, for most people, a deliberate choice. Demographic theory has often implicitly assumed that people have clearly defined preferences or desires towards children and are able to articulate their future parenthood plans. For some people, the decision does come easily and can be clearly articulated. However, a growing body of recent theoretical and empirical work suggests that reproductive decisions often involve a significant degree of ambivalence around childbearing desires, and uncertainty regarding fertility intentions. The study analyses text data, consisting of posts and comments, from an online community on Reddit which is dedicated specifically to individuals who are struggling with the decision of whether or not to embark into parenthood, or to have another child. This corpus represents a large-scale, self-initiated, and naturalistic account of fertility decision and provides a rare opportunity to understand the nature of ambivalence and uncertainty around parenthood and childbearing . Using ‘close reading’ and qualitative thematic analysis, and incorporating insights from the social psychological field of decision making theory we identify the key recurring patterns of ambivalence and sources of uncertainty in the fertility decision making , and the strategies people use to navigate them. Preliminary findings point to the important influence of cognitive biases, including status quo bias and loss aversion, alongside distinct decision-making styles (rational, intuitive, dependent, avoidant, spontaneous). This study extends existing demographic frameworks and offers new insight into the lived experience of reproductive indecision. 2026-316-torn-between-two-paths-uncertainty-and-ambivalence-in-childbearing-intentions Short videos Anna Reimondos en false https://conferences.acspri.org.au/2026/talk/Y8LHBH/ https://conferences.acspri.org.au/2026/talk/Y8LHBH/feedback/ Drawing Room Short video (abstract reviewed) 2026-11-25T17:20:00+11:00 17:20 00:05 This short film opens with a question that is at the heart of my doctoral study: What might it mean to learn with the city? Cities, meaning more than mere backdrops, are envisioned as entangled partners in designing possibilities for learning among art and design learners in higher education. Within the larger umbrella of post-qualitative enquiry, the city is considered an assemblage of human, material, historical, infrastructural and more-than-human actors that shape what can be sensed, noticed and known. Posthumanism and Barad's concept of intra-action attune the researcher and city as they "become" through encounters and relational entanglements. From this theoretical grounding, the film turns to the study's methodological enactment: Becoming with the City: An assemblage walk. The researcher enacts a loosely bounded activation in the city of Lahore. The site is held long enough to ask what happens and what dialogue and exchanges take place between the walker, place and the more-than-human. The method unfolds through four fluid phases of attunement. The first phase is an open-ended invitation to traverse the city, calling walkers to immerse themselves in its surroundings and question its layers and turns – following a sound, a colour, a shadow, or perhaps a section of the walkway, without a predetermined route. The second phase moves to documenting three locations, each explored long enough to ask what is at play there: what dialogues, exchanges, or collaborations are unfolding between walker, place, and the more-than-human. Parallel to this, the third phase gathers five fragments from the city - photographs, textures, found objects, audio-video recordings, and traces of movement - each interpreted in a single sentence: This fragment matters because… The walk concludes with its fourth phase: a period of sustained reflection, a continuous ten- to fifteen-minute writing prompted by the line, 'During this walk I did not move through the city; rather, the city and I discussed, experienced, and engaged together… Rather than describing the walk from a distance, the film narrates the process of walking, wandering, and embodied noticing with the city: material entanglements, layered histories, and a shift in attention from the visual towards the sensory and the affective and beyond. In doing so, the film argues that embodied and entangled post-qualitative methodology offers access to relational and affective urban knowledge that conventional research instruments cannot reach. It further renders legible the city's potential for pedagogical becoming through sustained, attentive encounter. It closes with an invitation extended to the viewer: to question, consider and explore their own cities and their potential to establish a reciprocal, fluid and relational pedagogical exchange. 2026-267-becoming-learning-with-the-urban-assemblage-lahore Short videos Fatima Iftikhar en false https://conferences.acspri.org.au/2026/talk/C7Z9JK/ https://conferences.acspri.org.au/2026/talk/C7Z9JK/feedback/ Drawing Room Short video (abstract reviewed) 2026-11-25T17:25:00+11:00 17:25 00:05 Qualitative studies of multiply disadvantaged groups often finish where network analysis could begin: with a list of themes and counts. When open-text responses are coded at participant level, the resulting affiliation (bipartite) network of participants and issue codes can be projected into a one-mode issue co-occurrence network. We examine whether three separately coded subsets can be harmonised into one defensible co-occurrence network, and what such a network adds to conventional thematic reporting. The data come from the co-designed, consumer-centric study "Making the invisible visible: Exploring the experiences of frail, homebound and bedridden people" (Flinders University Social and Behavioural Research Ethics Committee, Project No. 8557). We shared an online survey via social media and university press release channels; three researchers coded open-text responses from 140 participants, each working on mutually exclusive subsets (n=46, 47 and 47). Each coder extended the coding framework differently, and identical code numbers referred to different concepts, so we could not pool coder-specific labels directly. We derived a shared semantic core of eight issues comparable across all three codebooks, constructed a participant-by-issue binary matrix, and projected it into a weighted one-mode network with issues as nodes and co-reporting counts as edges. We treated four entries that reproduced the entire shared code list as unresolved in the primary analysis and retained them as authored in a sensitivity analysis. Because coders worked on disjoint subsets, whole-sample intercoder reliability cannot be estimated; we treat this as a structural feature of the design. Issue coding was present for 122 of 140 participants; 80 had at least one evaluable shared-core issue and form the network denominator (Figure 1A; median 2 issues, mean 2.75, range 1-7). Health burden was most prevalent (48; 34.3%), followed by reduced participation (43; 30.7%), reduced contact (41; 29.3%) and inability to travel (28; 20.0%). The strongest raw co-occurrence was reduced participation with health burden (n=33). The eight-node network formed one connected component with density 0.964 (27 of 28 pairs; Figure 1B); the only absent pair was partner separation with hospitalisation. On a graph this dense, community detection and centrality are not interpretable: we make no community claim, and weighted betweenness — nonzero only because of the single absent edge — is reported as descriptive and shown to shift under sensitivity analysis. Edge metric choice was decisive. Raw counts conflate prevalence with association. Re-expressing edges as lift (observed/expected under independence) and Jaccard similarity reordered the structure (Figure 1C): loss of paid work with inability to travel showed the highest lift (2.14) and second-highest Jaccard (0.53) despite ranking tenth by count (n=18), while reduced contact with health burden (n=24) co-occurred at chance levels (lift 0.98) and partner separation with health burden below chance (lift 0.56). Sensitivity analysis left prevalence rankings and strongest pairs unchanged. For research, co-occurrence networks of coded qualitative data reveal structure that thematic reporting hides, but only if edges are modelled as association rather than frequency and interpretation avoids centrality claims on near-complete graphs. For policy, combinations identify a concrete target: a six-issue cluster (reduced contact, loss of paid work, reduced participation, financial hardship, inability to travel and health burden) reported by 8 participants (Figure 1D), a subgroup carrying social, financial and health burdens missed by single-issue responses. The study demonstrates a transparent, auditable path from multiply coded qualitative data to a reproducible network, and motivates a planned multilayer analysis of invisibility, healthcare exclusion, support needs and participant-proposed solutions. 2026-304-a-densely-connected-burden-co-occurring-health-social-and-service-issues-among-frail-homebound-and-bedridden-people Short videos /media/2026/submissions/3B7NB7/Figure1_quadrant_panels_A-D_FHBP_BsY6I7h_inU1pQi_hl_em2NdeP.webp Dr Maria Alejandra Pinero de Plaza, PhD, CHIA en false https://conferences.acspri.org.au/2026/talk/3B7NB7/ https://conferences.acspri.org.au/2026/talk/3B7NB7/feedback/ Drawing Room Poster (abstract reviewed) 2026-11-25T17:30:00+11:00 17:30 00:05 Homelessness is not produced or resolved by a single service. It is shaped by the interactions of health, housing, social care and community systems, yet policy and evaluation often treat implementation as if it occurs in a stable environment. This creates a methodological problem: how can research explain not only whether a homelessness policy works, but how, why, for whom and under what changing conditions it produces system-level effects? This abstract reports an applied complex realist methodology examining how health, housing and community systems generate coordinated or fragmented responses to people experiencing homelessness. While realist review are scarce and often treated as the endpoint of evidence synthesis, in this project, it is the first cycle of an applied, longitudinal methodology: explanatory theory is generated from the literature, translated into health-system development, and then tested and refined as implementation unfolds. Its initial programme theory identifies two competing pathways. In the enabling and integrated pathway, stable and flexible funding, intersectoral collaboration, explicit accountability and a non-judgemental, person-centred culture activate mechanisms including staff security, trust, knowledge sharing, cross-sector collaboration and flexible care. These mechanisms are expected to support engagement, accessible and responsive services, continuity of care, reduced emergency department use and improved health and wellbeing. In contrast, the fragmented and unaccountable pathway is associated with short-term funding, siloed services, absent shared accountability and stigma. These contexts generate staff insecurity, organisational workarounds, poor information-sharing and responsibility-shifting. The resulting mechanisms contribute to inconsistent care, disengagement, repeated emergency department presentations and the persistence of homelessness-related health inequities. Presenting these pathways together makes visible how the same broad policy objective—improving responses to people experiencing homelessness—may produce different outcomes depending on the conditions in which it is implemented. Cross-cutting mediators were also identified, including population subgroup, frequency and duration of service contact, and digital interventions. These factors may influence how mechanisms are triggered and how outcomes develop across different groups and points of contact with services. Foundational capacities include housing and wraparound support, workforce development, data learning and knowledge transfer. System accountability and continuous learning are theorised as feedback loops capable of reinforcing either the enabling and integrated pathway or the fragmented and unaccountable pathway. These findings have already been fed into the development stage of the South Western Sydney Local Health District Homelessness Plan, demonstrating the review's purpose to not only to synthesise existing evidence, but support the development of a health-system response grounded in an explicit account of context, mechanism and outcome. Evidently, realist methodology can move between evidence, policy and practice while maintaining a focus on how and why system change occurs. Critically, the initial programme theory will guide a Theory of Change, participatory systems mapping, documentary analysis, ethnographic observation in Liverpool Hospital Emergency Department, stakeholder interviews and later longitudinal analysis of changing governance and service responses. The methodological contribution is a theory-to-practice-and-back-again model in which realist synthesis is both explanatory and formative, and findings are visible and assessable. It demonstrates how realist findings can shape policy development while creating a structured basis for examining whether, how and under what conditions system change occurs over time. By linking realist review to the development and subsequent study of the SWSLHD Homelessness Plan, the project offers a practical approach for investigating homelessness as a systems problem and for connecting evidence synthesis, policy development and longitudinal inquiry. 2026-285-from-theory-to-practice-and-back-again-using-realist-review-to-co-develop-and-study-homelessness-health-system-change Posters Jasmine Singh en false https://conferences.acspri.org.au/2026/talk/8N8U7D/ https://conferences.acspri.org.au/2026/talk/8N8U7D/feedback/ Drawing Room Poster (abstract reviewed) 2026-11-25T17:35:00+11:00 17:35 00:05 “An assemblage woven with materials, entangled with stories, knotted with people and stitches to the fabric of place is what composes a city.” (Personal Journal, 16.06.2026) Cities, as urban assemblages, compose our environments through relational and emergent entanglements of human and more-than-human agencies constantly in motion (Facer & Buchczyk, 2019); their continuous movement is what constitutes their aliveness. This poster presents the research design and preliminary findings from the first two phases of a doctoral study grounded in post-qualitative research, exploring cities as active pedagogical partners in art and design higher education. Cities serve as a nexus of architecture, material, culture, history, narratives, and human and more-than-human interactions; the exchange among these actors is what brings our everyday reality to life. Drawing on place-based education (Gruenewald, 2003), posthuman theory (Thrift, 2007; Ingold, 2011; Braidotti, 2013), and Barad's concept of intra-action, this research reframes the learner as an embodied subjectivity engaged in relational, multimodal encounters (Kress, 2010) with urban environments, addressing the limitations of predominantly human-centred approaches to urban learning. The research asks, “How can post-qualitative, participatory design-based research foster Lahore as an active pedagogical agent in the collaborative constitution of knowledge, critical thinking, and meaningful engagement with cities as emergent learning assemblages?” With this, the study aims to reimagine learning workshops beyond conventional boundaries, employing place, space, material, human and more-than-human entities as relational means of learning and of becoming part of the vast, pedagogically rich fabric of the city. In a post-qualitative approach, methods are generative, seeking to create knowledge rather than extracting it. In Phase One of this iterative ethics-approved workshop series, eight undergraduate art and design students undertook a self-directed exploration of Lahore. Participants were guided by curated photo-based toolkits and midway prompts that interrupted habitual looking, redirecting attention towards emergent and relational noticing. The data included field notes, sketches, impressions, photographs, audio-video recordings, group-generated concept maps, and future activation ideas. Findings pointed to a marked shift in attention from eye-level to ground-level, embodied noticing, with the term "participant" no longer limited to humans but extended towards more-than-human actors and encounters with materiality, impressions, craft, infrastructure, history and stories. Participants shared heightened sensory and affective engagement, an uncanny familiarity within unfamiliar places, and a productive tension between old and new architecture, describing the everyday environment as newly "narrative-driven." In Phase Two, in Lahore, a newly recruited cohort, alongside returning participants, undertook three themed workshops — Impressions, Storytelling Tour, and Craft Mapping — extending this relational attunement towards material study, mark-making, listening, narrative fragments, and craft ecologies. Early responses echo and deepen Phase One's findings: participants described recognising the labour and generational knowledge embedded in everyday craft, valuing unplanned encounters, and engaging in emergent dialogue with shopkeepers and artisans, while also noting a productive tension between the city's continuity and change. Several also reflected that longer, repeated engagement would deepen these outcomes. Together, these findings inform the design of subsequent workshop phases, contributing towards a relational and transferrable toolkit for art and design educators. More broadly, the study contributes to reimagining the city not simply as a context for learning, but as an active participant in pedagogical becoming. The poster presents this emerging learning design alongside participant data, inviting dialogue on relational, more-than-human, place-based approaches to learning across diverse urban and institutional contexts. 2026-297-learning-with-the-city-a-pedagogical-becoming-in-lahore-pakistan Posters Fatima Iftikhar en false https://conferences.acspri.org.au/2026/talk/PCX3EW/ https://conferences.acspri.org.au/2026/talk/PCX3EW/feedback/ Sutherland Room Plenary 2026-11-26T09:00:00+11:00 09:00 01:30 In response to the advances in generative artificial intelligence (GenAI), particularly large language models (LLMs), researchers have raised our heads. Some with concern, others with hope and even excitement. Why the concern though? I argue that what this all boils down to is a matter of identity and epistemic values. LLM use challenges both the collective and individual identity of qualitative researchers engaged in reflexive inquiry. Drawing on literature concerning researcher identity, reflexivity, and computer-assisted qualitative data analysis software (CAQDAS), I argue that constructive qualitative knowledge production is – and must continue to be – grounded in human capacities for interpretation, subjectivity, embodiment, ethical discernment, and reflexive self-awareness. Regardless of whether audience members agree with this argument, my goal in this presentation is to offer a kind and reflective space in which we can consider our own researcher identities and the epistemic values to which we hold. Then, drawing on a dizzying array of scholarship from the past four years, I will traverse various tensions and advances in research and discourse concerning how LLMs are informing research practice. 2026-257-identity-work-in-social-science-navigating-artificial-intelligence Generative AI / LLMs in social research Tanisha Jowsey en false https://conferences.acspri.org.au/2026/talk/EWQNUU/ https://conferences.acspri.org.au/2026/talk/EWQNUU/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-26T11:15:00+11:00 11:15 00:15 Large language models (LLMs), such as ChatGPT, are increasingly being considered as tools for coding in evidence synthesis. However, evaluations of LLM coding often rely mainly on overall agreement scores, which can conceal how and why model decisions differ from researcher judgement. This is especially problematic in conceptual reviews, where definitions, operationalisations and relationships between concepts may be implicit, spread across a text or open to more than one reasonable interpretation. This paper asks where the two coding approaches diverge, whether disagreements are systematically associated with particular coding functions and concepts, and whether they lead to different substantive interpretations. The study is embedded in a large-scale scoping review of 6,205 peer-reviewed articles on refugee integration published between 2001 and 2025. For the comparison, 15 articles were purposively selected from 200 full texts coded with the support of NVivo to maximise variation in period, method, discipline, geography and conceptual engagement. ChatGPT applied the same codebook to the NVivo-identified passages, using each extract without the wider article context. The paired dataset comprised 296 coding units covering eight concepts: integration, settlement, belonging, citizenship, adaptation, acculturation, social capital and social inclusion. Three coding functions were assessed: whether a passage defined a concept; identified how it was studied or measured; or explicitly related it to another concept. The analysis combined exact agreement, Cohen’s kappa, the direction of disagreement, concept-level cross-tabulations and comparison of the resulting qualitative syntheses. Exact agreement was similar across functions, ranging from 53.4% to 54.4%, while agreement beyond chance was slight (κ = .064–.132). Yet these headline coefficients concealed strongly directional differences. NVivo-assisted researcher coding was broader for definitions (56.1% of passages compared with 19.6% for ChatGPT) and operationalisation (49.7% compared with 25.3%). ChatGPT applied a broader threshold to relationships between concepts (57.4% compared with 32.8%). Divergence also varied across concepts: ChatGPT identified no operationalisations for settlement or citizenship, whereas belonging and social capital showed especially strong substantive convergence. Despite low agreement on individual passages, the two approaches produced similar higher-level interpretations. Both described integration as multidimensional, processual, relational and institutionally conditioned, and produced closely aligned accounts of belonging, social capital and the distinction between formal citizenship and lived membership. They often reached similar conceptual conclusions through different allocations of material across coding functions. The paper argues that evaluating LLM coding requires more than a single agreement coefficient. It proposes a multilevel assessment combining code prevalence, direction of disagreement, concept-specific patterns and substantive convergence. Because the study used a researcher-derived passage set, a single model and prompt format, and no independently adjudicated standard, it evaluates consistency and coding thresholds rather than comparative accuracy. The findings show that LLM coding should not be treated as interchangeable with researcher judgement, but may offer a complementary perspective when its role, access to context and limitations are explicitly documented. 2026-265-where-nvivo-assisted-researcher-coding-and-llm-coding-diverge-evidence-from-a-large-scale-scoping-review Generative AI / LLMs in social research Gabriella D'Avino en false https://conferences.acspri.org.au/2026/talk/UKCQSB/ https://conferences.acspri.org.au/2026/talk/UKCQSB/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-26T11:30:00+11:00 11:30 00:15 Social media platforms such as Twitter/X, Reddit, Bluesky and Mastodon are nowadays important spaces where people engage with, discuss and promote social issues and politics. While the deliberative potential of online discussion platforms and hence their contribution to democracy and social cohesion is the subject of both concern (and sometimes, moral panic) and also on-going academic research, there can be no doubt that social media is important in the modern information environment, with social media actors responding to and at times influencing how mainstream media engages with and promotes issues. Framing is the process whereby actors with an interest in a contested topic use strategic communication to provide interpretation, context or perspective that aligns with the actor’s interests. The actors might include individuals, groups, organisations, governments, and the topic could relate to, for example, current events, government policy or social issues, and it has been argued that framing involves strategically “selecting and highlighting some features of while omitting others”, and that frames are “manifested by the presence or absence of certain key words” (Entman, 1991, pp. 52–53). This presentation outlines work-in-progress on a quantitative methodology for identifying frames and understanding how frames spread in the Australian information environment. Quantitative approaches to frame identification include correspondence analysis, semantic network analysis, topic modelling and more recently, large language models (LLMs). Our approach for identifying frames draws on Kwak et al’s (2021) FrameAxis, which uses LLMs to identify “microframes” which are dimensions of discussion relating to an issue (a frame comprises one or more microframes). In discussion about immigration, for example, a microframe might be legal versus illegal immigration, and the FrameAxis approach measures how biased a given text (for example, a newspaper article) is with regard to a particular microframe i.e. does it focus predominantly on ‘illegal’ immigration rather than ‘legal’ immigration (or vice-versa)? FrameAxis also measures the relative prominence (intensity) of a particular microframe: is the text heavily focused on the legal-illegal microframe, hence giving less weight to other possible microframes (e.g. the segregated-desegregated microframe, relating to integration of migrants into society)? While the presentation will focus on the identification of frames, we will also briefly discuss the second part of the methodology, which involves using social network analysis to understand how frames are disseminated on social media and the relative contribution of different actors (e.g. elites vs everyday citizens) to this spread. Entman, R. M. (1991). Framing U.S. coverage of international news: Contrasts in narratives of the KAL and Iran air incidents. Journal of Communication, 43(4), 51–58. Kwak, H., An, J., Jing, E., & Ahn, Y.-Y. (2021). FrameAxis: Characterizing microframe bias and intensity with word embedding. PeerJ Computer Science, 7:e644. 2026-332-a-new-approach-for-identifying-frames-and-mapping-their-diffusion Generative AI / LLMs in social research Robert Ackland en false https://conferences.acspri.org.au/2026/talk/SZCRWB/ https://conferences.acspri.org.au/2026/talk/SZCRWB/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-26T11:45:00+11:00 11:45 00:15 Background Migration and displacement can profoundly affect women’s mental health and well-being with access and navigation of mental health supports shaped by social determinants. The Care Navigation for Culturally and Linguistically Diverse (CaNCALD) Women’s Project uses qualitative research data, Learning Journeys and participatory creative practices to identify how cultural norms, socioeconomic pressures, and local service structures in South-Western Sydney influence women’s ability to seek and receive support. It also seeks to recognise and strengthen existing community assets that foster mental wellbeing. The aim is to co-design, implement and evaluate place-based pilot solutions, and to inform responsive, person‑centred policy development to improve mental health and service navigation. Data collection and analysis In preparation for a series of eight intensive co-design workshops with 20 diverse interest holders, we sought deep community engagement through qualitative research. An interview guide was constructed using the Social Determinants of Mental Health, and an Assets Based Community Development Framework. Following maximum variation sampling, fifty-two in-depth interviews were conducted with 23 migrant, refugee or asylum-seeking women with lived experience of mental health concerns, and 29 health providers, service providers and community leaders in South-Western Sydney. Drawing on assemblage theory, we assumed that research participants’ experiences of systems are made up of people, technologies, objects and ideas and so looked for connections between these in the data. Three composite narratives based on three typified character profiles were constructed from aggregated interview data, weaving together these human and non-human elements. Co-design workshop strategies Composite narratives communicated qualitative findings in a succinct, accessible way to a non-academic co-design team audience. Composite narrative texts and identified community assets were translated into interactive workshop tools (storyboards and asset cards) using illustrative images generated through Leonardo.ai™. The storyboards were wall-mounted for a group co-design activity during a three-hour workshop. Co-design team members mapped the asset cards to potential leverage points in women’s post-migration mental health stories. They were provided with blank asset cards so they could add their own ideas to the asset mapping. These workshop tools sensitised the co-design team to the qualitative research findings through critical engagement with social determinants of mental health navigation, and existing assets that could be mobilised or improved. The workshop was documented through written records of co-design participant reflections, and photographs of the asset mapping exercise. Discussion People have always used stories as a vehicle for knowledge, with many cultures drawing on rich oral history traditions. Stories invoke the resonance of qualitative findings. When readers are invited to make their own meaning from stories, rather than being presented with an interpretation, they may be more likely to remember and act on the findings in the own contexts and spheres of influence. Given South-Western Sydney is made up of close, connected communities, the use of composite narratives strengthened the anonymity of participants. Integrating composite narratives into storyboards reduced the need for advanced English proficiency, creating a more horizontal power dynamic. The activity generated discussion among the co-design team members about their own experiences and contributed to our reflections and interpretations of the data. Artificial intelligence in research is a new frontier raising methodological, cyber-security, intellectual property and integrity challenges. It also creates opportunities for efficient, creative and rigorous research processes if used reflexively. Conclusion Composite narratives effectively summarised research findings while remaining true to participant voices. Their value in the co-design process was strengthened through storyboarding, supporting inclusive, participatory methods that fostered group interaction and collective meaning-making. 2026-276-using-composite-narratives-and-storyboarding-in-participatory-research-and-co-design Generative AI / LLMs in social research Anne Lechner en false https://conferences.acspri.org.au/2026/talk/JXP9BV/ https://conferences.acspri.org.au/2026/talk/JXP9BV/feedback/ Sutherland Room Presentation (abstract reviewed) 2026-11-26T13:30:00+11:00 13:30 00:15 The transition from adolescence to adulthood is a critical developmental period during which employment experiences can have lasting implications for health and wellbeing. While prior research has linked unemployment and poor-quality work to adverse mental health outcomes, the role of precarious employment during early adulthood remains comparatively understudied, particularly from a longitudinal perspective. This study examines trajectories of precarious employment between ages 18 and 24 years and their associations with short- and long-term mental health. Data were drawn from the Australian Household, Income and Labour Dynamics in Australia (HILDA) Survey. Informed by a lived experience youth advisory group, precarious employment was defined by subjective dimensions of job security and job control. Group-based trajectory modelling was applied in the analytic sample (n=498; person-year observations=5,856) to identify patterns of precarious employment between 18-24 years. Adjusted linear and logistic regressions were used to examine associations between trajectories, demographic characteristics and mental health, measured using the Mental Health Inventory (MHI-5), at ages 25 years and 35 years. Two distinct trajectories emerged: persistent high precarity and low/decreasing precarity. Membership in the persistently high precarity trajectory was associated with poorer mental health at age 25, particularly among females. Sex differences emerged in longer-term outcomes assessed at age 35: persistently high job insecurity was associated with poorer mental health among males, whereas persistently low job control was associated with poorer mental health among females. These findings suggest that precarious employment in early adulthood, particularly when chronic in nature, may have enduring sex-specific consequences for mental health. The results highlight the importance of policies and workplace practices that promote secure and meaningful employment for young people, including strategies to improve job security, increase employee autonomy, and strengthen protections for workers in insecure forms of employment. Reducing employment precarity may therefore protect mental health across the life course. 2026-325-navigating-uncertainty-trajectories-of-precarious-employment-and-associations-with-mental-health-among-young-australians-in-the-hilda-survey Survey and Panel Survey methods Amarina Donohoe-Bales en false https://conferences.acspri.org.au/2026/talk/FZ8KAP/ https://conferences.acspri.org.au/2026/talk/FZ8KAP/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-26T11:15:00+11:00 11:15 00:15 Background: Qualitative Comparative Analysis (QCA) is a case-based method that examines combinations of causal conditions that lead to an outcome. Unlike variance-based methods, which average the effects of independent variables to explain an outcome and assume that the effect of each independent variable remains constant regardless of the values of other variables, case-based methods seek to explain outliers and unexplained variance by producing open-ended, descriptive results. Grounded in set theory, QCA focuses on the effects of cases (rows) on an outcome by considering observations as sets, rather than focusing on the effects of variables (columns). Case-based methods can synthesise evidence and provide contextual information about cases that remain unexplained in variance-based analyses. Traditional QCA has primarily included patient and clinical characteristics as causal conditions, with less attention given to incorporating process conditions into case-based analyses. Objective: In this project, we assess whether process features captured in electronic medical records are sufficient or necessary conditions leading to 30-day unplanned readmission among patients with heart failure. We aim to extend causal conditions to include process conditions and use QCA to examine whether process features are sufficient or necessary for discovering configurations associated with the outcome. Methods: We extracted eligible patients from the de-identified, publicly available Medical Information Mart for Intensive Care (MIMIC-IV) database. Patients were included if they were aged ≥18 years and had a first heart failure hospitalisation between 2011 and 2022. Patients deceased during the index hospitalisation were excluded. In total, we extracted 12 tables from MIMIC-IV, including hospital transfers, patient demographics, laboratory measurements, and procedures to create an event log capturing patient trajectories from hospital admission to discharge. Local process mining was then applied to identify the most common events observed in the dataset and were used to generate process features. The events and their order were included in QCA to assess whether process conditions were sufficient or necessary in configurational pathways leading to 30-day unplanned readmission. Results: A total of 285 patients with a first heart failure hospitalisation between 2011 and 2022 were identified. Of these, 95 (33.3%) experienced a 30-day unplanned readmission. The average age was 67 years, 94 (34.0%) patients were female, 69.0% were Caucasian, and the mean Charlson Comorbidity Index was 5.0. Local process mining identified three events that were associated with the outcome: transfer to the operating room (OR), multi-lumen catheter insertion (ML), and arterial line insertion (AL). The relationships between these events were also derived, including AL→ML and AL→OR. By logically eliminating and synthesising the conditions and analysing the truth table, we identified that no single condition was sufficient to produce the outcome. However, the combination of AL and ML was associated with readmission (N = 4) and demonstrated perfect consistency (consistency = 1.0). Incorporating the sequential process condition AL→ML also identified four readmission cases with a consistency score of 1.0, indicating that all patients who followed this pathway were readmitted within 30 days. Conclusion: By applying process mining to extract process conditions and integrating these conditions into a set-theoretic, case-based analysis, we found that process features were able to discover the cases leading to 30-day unplanned readmission. The inclusion of process features in QCA offers more precise and meaningful insights into patient care pathways and demonstrates the potential value of combining process mining and case-based analysis in medicine. 2026-323-evidence-synthesis-of-30-day-unplanned-heart-failure-readmission-through-case-based-local-process-discovery Qualitative methods Haeri Min en false https://conferences.acspri.org.au/2026/talk/AZZVUV/ https://conferences.acspri.org.au/2026/talk/AZZVUV/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-26T11:30:00+11:00 11:30 00:15 Hermeneutic and interpretative qualitative research methodologies have become well-established across the social sciences. These approaches provide sophisticated ways for understanding lived experience, meaning- and sense-making within the context of human interpretation. Drawing from phenomenological and hermeneutic traditions associated with Heidegger, Gadamer and Ricoeur, methodologies such as hermeneutic phenomenology and interpretative phenomenological analysis (IPA) understand that experience cannot be accessed without interpretation. Further, these methodologies recognise that researchers inescapably encounter participants’ accounts of their experience through contextually situated horizons of understanding. Substantive traditions of hermeneutic phenomenology and critical hermeneutics exist, along with a more recent and still-developing field of critical phenomenology. Yet, the interpretative quality of these methodologies raises an important question: to what extent should interpretation seek to understand participant meanings of their life-worlds on their own terms, and to what extent should it critically investigate the social, cultural and political conditions which create those meanings or even their plausibility? Substantive traditions of hermeneutic phenomenology and critical hermeneutics exist, along with a more recent and still-developing field of critical phenomenology. Yet, comparatively, less attention has been focused on explicitly integrating critical and hermeneutic modes of interpretation within phenomenological qualitative methodology. This presentation argues for a more explicitly critical approach to hermeneutic and interpretative research in the social sciences by examining the literature on critical hermeneutics and critical phenomenology. We explore two specific applications, IPA and hermeneutic phenomenology, where we use both the hermeneutics of empathy and the hermeneutics of suspicion, but place emphasis on the latter. Rather than proposing a replacement methodology, we argue that a critical approach to interpretative and hermeneutic applications of phenomenology provides an underutilised resource to examining the conditions through which meanings and experiences are constituted. We offer a framework for retaining the empathic and experiential commitments of interpretative and hermeneutic phenomenological inquiry while strengthening its capacity for reflexive relational and social critique. 2026-326-developing-critical-approaches-to-hermeneutic-and-interpretative-phenomenological-research Recentring Reflexivity and Researcher Positionality in Arts-Based Social Science Research: Phenomenological and Ethnographic Perspectives Robbie Busch en false https://conferences.acspri.org.au/2026/talk/E7DSYD/ https://conferences.acspri.org.au/2026/talk/E7DSYD/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-26T11:45:00+11:00 11:45 00:15 From independence until 2005, the Sri Lankan government managed refugees and asylum seekers under the Immigrants and Emigrants Act No. 20 of 1948, which classified asylum seekers and refugees as irregular immigrants, rendering them vulnerable to arrest, detention, and deportation. The “Memorandum of Understanding – 2005” signed by the Government of Sri Lanka and UNHCR was the first legal document to allow refugees and asylum seekers to remain legally in Sri Lanka temporarily until resettlement in a third country. Therefore, since 2005, Sri Lanka has provided temporary shelter to refugees. However, from 2005 to 2025, two broad groups of actors with different policy goals can be identified within Sri Lanka’s refugee policy subsystem. One coalition primarily focused on protecting the humanitarian rights of refugees, while the other emphasized national security and border management. The main objective of this study is to examine how the policy environment shapes the role of humanitarian coalition actors within the refugee policy subsystem in Sri Lanka. To address this objective, the study used the Advocacy Coalition Framework (ACF) as its primary theoretical framework. Focusing on the period from 2005 to 2025, the study adopts a social constructivist and interpretivist approach, recognizing that social realities are shaped by human experiences, interactions, historical contexts, and institutional practices. In Sri Lanka's refugee policy context, concepts such as “refugee,” “protection,” and “state responsibility” are socially constructed through political narratives, historical experiences, legal contexts, sovereignty concerns, and the experiences of various policy actors. This approach allows the researcher to analyze how humanitarian coalition actors construct, negotiate, and interpret refugee-related issues within policy communities and advocacy coalitions over time. Also, as indicated above, this study adopts a longitudinal single-case study design spanning 2005 to 2025, divided into three periods: 2005–2013, 2014–2022, and 2023–2025. The rationale for using a longitudinal study is that it aims to examine policy developments over an extended period, while the Advocacy Coalition Framework (ACF), as a public policy theory, is particularly well-suited to analyzing policy subsystems that evolve over more than a decade. Therefore, both the research objectives and the theoretical lens require a methodological approach that can capture changes and developments over an extended period. Accordingly, adopting a longitudinal research design enables the study to examine how humanitarian actors, coalitions, beliefs, strategies, and policy dynamics change over time in response to the policy environment. To enhance the validity of the findings, data triangulation is employed by combining primary and secondary data sources. Accordingly, the study conducted 20 semi-structured interviews to collect primary data, along with secondary data from books, journal articles, websites, etc. The interview was conducted with actors in both humanitarian and security coalitions to verify their involvement since 2005. Purposive sampling was initially used to identify key actors, followed by snowball sampling to reach additional participants who were difficult to identify or access, particularly because of the sensitive nature of refugee policy and the changing involvement of organizations over the 2005–2025 period. Finally, the findings from NVivo-assisted thematic analysis revealed that external events in the policy environment significantly influenced the roles of the humanitarian coalition's actors in Sri Lanka’s refugee policy subsystem, more than other policy-environment factors. 2026-242-the-impact-of-the-policy-environment-on-the-role-of-humanitarian-coalition-actors-in-sri-lanka-s-refugee-policy-subsystem Qualitative methods Uswatta Liyanage Himasha Dilsh Perera en false https://conferences.acspri.org.au/2026/talk/VPL9TU/ https://conferences.acspri.org.au/2026/talk/VPL9TU/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-26T13:30:00+11:00 13:30 00:15 Valid and reliable measures of parenting constructs are crucial in parenting program evaluation and evidence. As childrearing varies across cultures, good measurement practices point to validating measures of parenting within specific contexts, however the extent to which this occurs in research with Indigenous caregivers is unclear. Across disciplines, Indigenous participants are generally poorly represented in the design and norming of measures. Furthermore, when developed from Eurocentric and Western standpoints, measures assume universality of constructs, their conceptualisation and operationalisation. Conducted by an international team of Indigenous and allied scholars, this scoping review seeks to identify measures of parenting constructs that have been applied in Indigenous family-focused research in Australia, Aotearoa, Canada, and the United States. The review aims to describe the characteristics of measures, including constructs, psychometric qualities and the extent to which Indigenous leadership and perspectives have been incorporated in their development and use. Data extraction draws on the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN), the Aboriginal and Torres Strait Islander Quality Appraisal Tool and the cultural continuum of measure adaptation and development. Seven databases were searched, yielding 5,805 deduplicated records for title and abstract screening, with 185 sought for retrieval. Full text screening resulted in around 90 records for inclusion. Preliminary findings from the data extraction suggest substantial use of existing measures developed in non-Indigenous contexts, with some measures adapted on a surface structural level in attempts to increase contextual relevance. There were, comparatively, fewer culturally grounded measures, or deep adaptations in the included studies. Reporting of Indigenous leadership and contextual knowledges were inconsistent, indicating that greater emphasis needs to be placed on genuinely describing how Indigenous families, communities and scholars have led or participated in measure selection and adaptation. Identification of parenting measures across the cultural continuum will be helpful for program evaluators and practitioners to make informed decisions on measures, and promote the adoption of measures that reinforce strengths-based approaches that are meaningfully aligned with the experiences and needs of Indigenous families. 2026-281-meaningful-measures-preliminary-findings-from-a-scoping-review-of-parenting-measures-utilised-with-indigenous-caregivers Special populations and inclusive research methods Alexandra Gregory en false https://conferences.acspri.org.au/2026/talk/ECH8JZ/ https://conferences.acspri.org.au/2026/talk/ECH8JZ/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-26T13:45:00+11:00 13:45 00:15 Studies that collect sensitive information about intimate partner violence (IPV) provide critical evidence for policy and practice, but present complex methodological, ethical, legal and operational challenges. For longitudinal studies, these challenges are amplified by ongoing relationships with participants, multiple modes of data collection, and the need to balance participant safety with data quality and completeness. Despite growing interest, there is limited practical guidance on how to measure IPV in ways that prioritise participant safety, choice and control while maintaining robust survey practice. This paper presents a case study from Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC). As a mature national panel study that has followed participants from childhood into adulthood, LSAC provided a unique opportunity to introduce IPV measures within an established longitudinal research relationship. In its most recent data collection wave (2025-26), LSAC collected information on participants' experiences and use of IPV when they were aged 21-26 years. Survey development was informed by a targeted review of relevant research and consultation with people with lived expertise, subject matter experts, government stakeholders, and legal and ethics advisers. This resulted in a practical framework for survey design guided by three intersecting lenses: participant safety and ethical research practice; legal obligations; and the practical requirements of survey administration. Consultation findings were turned into specific survey and fieldwork decisions. These included revising introductory text to support informed participation; emphasising that providing information was voluntary; taking a considered approach to question ordering and sequencing; and enabling participants to skip or exit the survey modules at multiple points. Participants were also offered an optional educational resource about respectful relationships and IPV. Privacy checks, interviewer protocols and mode-specific safeguards were developed for both face-to-face and video interviews. This case study demonstrates how trauma-informed and Domestic, Family and Sexual Violence (DFSV)-informed principles can be operationalised through survey design alongside broader ethical commitments. It highlights the inherent tensions between participant safety, data completeness, representativeness and mode flexibility, and illustrates how these tensions can be managed in practice within a longitudinal study. The lessons and practical strategies described provide transferable guidance for panel and longitudinal studies seeking to introduce sensitive content while balancing ethical obligations, participant safety and data quality. 2026-288-introducing-sensitive-content-into-a-longitudinal-study-lessons-from-measuring-intimate-partner-violence-in-lsac Collaborative and Innovative research methodologies Amanda Vittiglia en false https://conferences.acspri.org.au/2026/talk/LKAN3L/ https://conferences.acspri.org.au/2026/talk/LKAN3L/feedback/ Holme Room Presentation (abstract reviewed) 2026-11-26T14:15:00+11:00 14:15 00:15 High-risk organisational investigations of wicked problems are difficult. Social science systems engineering takes on the challenge with an applied technical philosophy called shadowmaster scholarship. This methodology composes two parts, one interpersonal method called 'god-mode diplomacy', a set of effective counter-violent communication interventions. The other part, intra-personal entitled 'chaos pilot protocol' which includes a suite of robust therapeutic resilience modalities together they provide a theoretically rigorous & ethically robust approach to understanding complex systemic and structural organisational matters of concern which are intractably confounding. This method features an occult( hidden) sociology of bio-onto-epistemologically radical consequence to countering violence and the enhancing resilience of the investigator discovering challenging internal social dynamics. Combining subjective and objective triagulation, this methodology uses analytic- auto ethnograph applied narrative research, behavioural profiling and compensatory codification to transcend rhetoric & reveal occult (hidden) sociologies of function and dysfunction in organisations, paving the way to effective solutions. 2026-306-the-shadowmaster-scholarship-methodology-for-high-risk-organisational-studies Collaborative and Innovative research methodologies Issiah Burckhardt-Bedeau en false https://conferences.acspri.org.au/2026/talk/8QQGGN/ https://conferences.acspri.org.au/2026/talk/8QQGGN/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-26T11:15:00+11:00 11:15 00:15 When collecting covert network data, researchers prioritise finding edges without confirming the absence of a tie. Despite the theoretical relevance of null ties, it is clear that the identification of ties is more practical for the discovery of covert networks. Therefore, we explore the process by which covert networks are discovered as an edge sampling process. We develop the literature on edge sampling processes using the line graph and auto-logistic actor attribute model to systematically formulate biased sampling processes to reflect realistic sampling biases. We define what might be termed person of interest (POI) bias in the model to reflect the dependence between sampled edges. We present a few examples using empirical and simulated population networks. We conclude that biased sampling processes can result in highly structured observed networks even when the population network lacks structure. We then briefly consider some potential applications of the model-based edge sampling process to adaptive sampling design methodology. 2026-292-modelling-covert-network-discovery-as-biased-edge-sampling-assumptions-and-extensions Social Network Analysis (Abstracts reviewed by the ASNAC committee) Jonathan Januar en false https://conferences.acspri.org.au/2026/talk/C7VA9Y/ https://conferences.acspri.org.au/2026/talk/C7VA9Y/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-26T11:30:00+11:00 11:30 00:15 Social media is now pervasive in modern society, and is used not only for entertainment purposes, but has become a central environment for political and social discourse. Understanding, and being able to measure and identify, when online conversations are productive and contribute positively to public discourse, is increasingly important in order to limit toxic and hostile behaviour in a partisan society. We propose a novel multi-layer network model to study deliberation in online discussion platforms. The model comprises two layers: a discussion layer, which represents as a hierarchical tree the comment-to-comment replies within a given post, and an actor layer, which represents the actor-to-actor reply interactions. The interlayer links represent user-comment ownership. We use this network model to extend Gonzalez-Bailon et al. (2010)’s foundational work on using network analysis to measure argumentation and representation in discussion, by proposing two network metrics to measure the potential for deliberation in discussion threads. We also propose a new approach for identifying the boundaries that determine whether a given post is identified as deliberative, and for comparing the level of deliberation of collections of posts. We apply our new approach to a large Reddit dataset containing over 200,000 posts from 72 subreddits focused on different topics and demonstrate that our new metrics have construct validity in that observed differences in measured deliberation across categories of subreddits can be explained by the topics and purpose of the subreddits. While we find that some political subreddits exhibit high levels of deliberation thus indicating that online political talk can meet the prerequisites for deliberation, the level of deliberation in regional and sports subreddits was even higher. Analysis of the actor layer shows correlations between the deliberation measured on the discussion layer, and classical network metrics of the actor layer including degree distribution, assortativity, and the global clustering coefficient. These correlations reveal important insights into how the aggregate behaviour of users is related to deliberation. Finally, we discuss planned future work, including refinement of the metrics by incorporating comment engagement data (such as upvotes) and use of Natural Language Processing methods to identify linguistic markers for deliberative conversations. Ultimately, we hope to identify methods that can be implemented to help promote deliberative conversations in online platforms. 2026-283-multi-layer-network-analysis-of-deliberation-in-an-online-discussion-platform-the-case-of-reddit Social Network Analysis (Abstracts reviewed by the ASNAC committee) Ben Ye en false https://conferences.acspri.org.au/2026/talk/PTVEKB/ https://conferences.acspri.org.au/2026/talk/PTVEKB/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-26T11:45:00+11:00 11:45 00:15 Social Network Analysis (SNA) has demonstrated contagion effects across a wide range of behaviours. The Island Study Linking Aging and Neurodegenerative Disease (ISLAND) is an ongoing longitudinal study with over 3000 actively engaged Tasmanians aged 50 and above, who report annually on social engagement and other health behaviours. ISLAND participants who report more social engagement report healthier behaviour across alcohol consumption, smoking, physical activity, cognitive activity, diet, blood pressure, body weight, cholesterol, blood sugar, and diet, with evidence that social engagement is an upstream driver of many of these behaviours. In this study, we aimed to understand participants’ experiences of the relationship between social engagement and other healthy behaviours. We engaged a purposively sampled subset of ISLAND project participants (n=27, 90% of 30 invitees) in semi-structured interviews, analysed through reflexive thematic analysis. Purposive sampling ensured a wide range of individual characteristics (e.g. gender, education, age), social circumstances (e.g. living alone or cohabiting, working or retired), and social preferences (introversion/extraversion). At one extreme, some participants experienced health choices as independent agents, with no known social influences impacting their behaviour. At the other extreme, some experienced health choices as highly socially driven or constrained, with health behaviour being dependant on the actions and opinions of others. Most participants located themselves at intermediate points in this continuum: experiencing some influence through knowledge, motivation, and/or behaviour co-participation, while still experiencing autonomy in their final health decisions. Some participants positioned themselves differently when different health behaviours were discussed; for example, dietary choices may be more socially influenced, while choices to attend medical appointments may be more individually determined. Where influence was experienced, a wide range of influential actors were reported, including friends, family members, and animal companions. This longitudinal cohort provides the opportunity to quantitatively study the role of social influence in prompting a range of healthy behaviours among older adults. The understandings developed in this initial exploratory project may provide the foundation for further exploration using social network analysis. 2026-302-older-adults-experiences-of-social-influences-on-health-behaviours Social Network Analysis (Abstracts reviewed by the ASNAC committee) Hannah Fair en false https://conferences.acspri.org.au/2026/talk/RN87V9/ https://conferences.acspri.org.au/2026/talk/RN87V9/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-26T12:00:00+11:00 12:00 00:15 Egocentric network data are often elicited rather than directly observed. Name generators and alter-level questions require participants to define boundaries, retrieve alters, retain an expanding list and, where local structure is collected, assess a rapidly increasing number of possible alter–alter ties. These demands intensify when interviews are multilingual, interpreter-mediated, ethically sensitive, conducted in domestic settings and embedded in longer qualitative encounters. Participant-aided sociograms may reduce some of this burden, but they are often described mainly as engagement tools. Less attention has been paid to how they transform the production, observability and interpretability of network evidence. This paper develops and evaluates a qualitative-led mixed-methods protocol centred on a low-technology, participant-aided target sociogram. It asks: how do participant-aided sociograms transform egocentric network elicitation under high-constraint field conditions, and what are the implications for data quality, boundary specification and interpretation? The five-stage protocol combines: (1) an ethically permissive contextual opening; (2) affective and hypothetical exchange name generators; (3) question-wise composition measures; (4) participant placement and movement of alters across four perceived-closeness rings; and (5) participant mapping of salient alter–alter ties and clusters, followed by qualitative probing. The protocol was piloted and applied in 17 interview sessions with 23 Arabic-speaking refugees in England, including 10 sessions mediated by a trained Arabic–English telephone interpreter. The methodological evaluation integrates transcripts and field notes, photographed sociograms, documented additions and repositioning of alters, case-by-case audits of maps against node and edge files, and descriptive summaries of network size and map complexity. The findings show that the sociogram redistributes cognitive and interactional work across participant, visual artefact, interviewer and interpreter through four linked mechanisms. First, the visible map supports memory offloading by keeping previously elicited alters available for inspection and iterative recall. Second, it enables comparative calibration: participants judge and revise the closeness of one relationship in relation to others. Third, spatial grouping makes perceived local structure feasible to elicit without a complete dyadic census. Fourth, interaction around the map makes parts of the reporting process visible. Hesitation, clarification, movement and decisions to omit a tie can be qualitatively probed, helping distinguish forgetting, boundary misunderstandings, taken-for-granted household relations, ethical withholding and uncertainty. These gains do not produce a complete or objectively accurate network. The maps may privilege strong, salient and coherent ties; question-wise composition reduces repetition but sacrifices alter-level cross-classification; very large networks crowd the paper target; and a telephone interpreter cannot share the visual field. The protocol therefore supports claims about elicited network size, broad role composition, ordinal perceived closeness and salient perceived structure, but not total degree, valued ties or a complete adjacency matrix. The paper contributes a replicable five-stage protocol, explicit conversion and reporting rules, and an implementation-based framework for evaluating participant-aided sociograms as measurement interventions as well as visual elicitation tools. It argues that, in high-constraint fieldwork, data quality depends not on maximising standardisation or detail in isolation, but on the documented fit among the research question, elicitation instrument and field encounter. 2026-254-participant-aided-sociograms-in-high-constraint-fieldwork-a-qualitative-led-mixed-methods-protocol-for-egocentric-network-elicitation Social Network Analysis (Abstracts reviewed by the ASNAC committee) Gabriella D'Avino en false https://conferences.acspri.org.au/2026/talk/BEH7LV/ https://conferences.acspri.org.au/2026/talk/BEH7LV/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-26T12:15:00+11:00 12:15 00:15 Individuals’ behaviour and attitudes are shaped by their perceptions of the social structure (i.e., cognitive social structures), yet little is known about the structural mechanisms underlying these perceptions and their interdependence. In this paper, we analyse adolescents’ perceptions of peers’ friendship networks in class to explore the structure and predictors of individuals’ social network perceptions. To do so, we extend multilayer exponential random graph models (ERGMs) to CSS data, also modelling the dependencies between perceptions. Cognitive social structures were modelled as interdependent layers in 15 Dutch high school classes (for a total of 346 students). The results show that adolescents’ perceptions exhibit patterns consistent with opportunity, balance, and homophily: friendships were more likely perceived between peers with reciprocated self-reported ties and between peers with the same gender or ethnic background. Additionally, adolescents perceived transitivity (a friend of a friend is a friend) in others' friendship networks. Contrary to expectations, cross-layer effects showed that friends did not hold more similar perceptions than non-friends. Neither did similarities in demographic characteristics (e.g., gender and ethnicity) shape similarities in perceptions. By extending multilayer ERGMs to cognitive social structures, this study provides a novel methodological approach for analysing cognitive social structures and new insights into how adolescents perceive social networks. 2026-329-perceptions-of-school-friendship-networks-introducing-multilayer-ergms-for-cognitive-social-structures Social Network Analysis (Abstracts reviewed by the ASNAC committee) /media/2026/submissions/3HLA8D/css_as_layers_kWIQrrj_P8t2Mqp.webp Pavel N. Krivitsky en false https://conferences.acspri.org.au/2026/talk/3HLA8D/ https://conferences.acspri.org.au/2026/talk/3HLA8D/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-26T13:30:00+11:00 13:30 00:15 Cultural rules and norms shape social relationships, often in ways that are difficult to identify. Power, its location, and how it is exercised, can also be defined in cultural rules and norms. How cultural norms shape the exercise of power in social network is an area of study that poses significant challenges. 2-mode networks offer a potential approach. While the analysis of 2-mode networks is analysed as a single network, the data is constituted of multiple observations, which presumably follow the same cultural rules. The network structure may show evidence of how and where power is used, although an understanding of the cultural context would need to accompany the analysis. Two examples of 2-mode networks were power dynamics have clearly identifiable consequences on network formation are presented to illustrate this analysis. The Southern Women dataset, collected by Davis, Gardner and Gardner (1941), is perhaps the most studied and influential 2-mode dataset. The matrix charts the attendance of 18 upper class white women across 14 social events reported on in the local newsletter. The utility of the dataset is evident in the clear groups that can be identified when mapping the interpersonal affiliation network. The context of the study provides clues as to why the groups exist: there were differences in status amongst upper class women which privileged “old money”, and cultural norms which dictated the interplay of social events. The “Golden Circle” dataset, collected by Clancy, O’Conner and Dillon (2010), maps the interlocking directorates of Ireland’s 40 largest corporations circa 2005 to 2007. The data showed a network of 39 individuals holding 93 directorships, linking together 33 of the top 40 companies. Outside of the top 40 companies, this small pool of individuals held an additional 398 directorships. The concentration of power within the hands of a small group of people had a number of consequences, including excessive renumeration for directors (compared to the EU), and a severe gender imbalance among directors favouring men. The culture of minimal government regulation and oversight led to the formation of a classic “old boys” club; the backroom deals made by this club had significant impacts on the Irish economy when the global financial crisis hit. 2026-324-power-culture-and-2-mode-networks Social Network Analysis (Abstracts reviewed by the ASNAC committee) Dan Chamberlain en false https://conferences.acspri.org.au/2026/talk/UFBDXM/ https://conferences.acspri.org.au/2026/talk/UFBDXM/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-26T13:45:00+11:00 13:45 00:15 In online communities, view counts, upvote counts, and comment counts indicate how users engage with posts. Posts receiving many view counts and upvote counts may be considered supported by other users, whereas posts with many comment counts tend to generate active discussion by prompting additional opinions. Although comment counts can be positively correlated with view or upvote counts, some users may receive high levels of support but limited discussion, while others may generate discussion despite receiving relatively little support. Thus, high support does not necessarily lead to active discussion, and vice versa. Both types of users exhibit high levels of engagement with their posts and can therefore be classified as influencers, but their characteristics differ depending on whether they primarily receive support from other users or encourage additional discussion. Consequently, treating them as a single type of influencer may obscure the distinct influences and roles that each type plays within the community. Accordingly, this study classifies influencers into three types based on whether they meet criteria for the level of support (view counts /upvote counts) and interaction (comment-based conversation networks), and aims to identify how the characteristics of the posts they create differ across these types. Using data from the Politics/Current Affairs board of FMKorea, one of the largest online communities in South Korea, this study constructs a conversation network based on post–comment and comment–reply relationships. The conversation network constructed from 20,306 posts and 87,162 comments consists of 4,765 nodes and 52,458 edges. Users with high in-eigenvector centrality are classified as “interaction influencers,” while users receiving high levels of support based on view counts and upvote counts are classified as “support influencers.” Users meeting both criteria are classified as “super influencers.” This approach enables a comparison between users who occupy central positions in discussions via posts and comments and those who receive support from the other user. To compare the three influencer groups, we conduct multiple regression quadratic assignment procedure (MRQAP) analyses using two dummy-coded group variables as independent variables. We estimate separate models in which the dependent variable is pairwise similarity in one of four post characteristics: post length, word use, the use of external links, and the number of comments authors leave on their own posts. These analyses examine whether similarities in post characteristics differ by influencer group. As an expected result of this study, the similarity in word use is expected to decrease significantly among interaction influencers compared to support influencers. The use of common vocabulary, such as popular expressions used within the community, may help influencers receive more support from other users. The similarity in the use of external links is expected to be higher among interaction influencers than among support influencers. Providing information from external sources in posts may encourage users to participate in further discussions through comments. Interaction influencers and super influencers are also expected to have more similar post characteristics to each other than to support influencers. This study contributes to the literature by distinguishing influencers from two perspectives—levels of support and the formation of interactive discussions—in order to account for their distinct roles their distinct roles, and by identifying how the characteristics of posts created by influencers who receive support differ from those of influencers who lead discussions. From a social perspective, this study provides insight into the different roles that influencers may play in the process of opinion formation in anonymous online communities, such as sharing information from external sources and encouraging interaction. 2026-321-who-receives-support-and-who-generates-interaction-examining-influencer-types-and-post-characteristics-using-mrqap-analysis Social Network Analysis (Abstracts reviewed by the ASNAC committee) LeeSeongEun en false https://conferences.acspri.org.au/2026/talk/BJU9SB/ https://conferences.acspri.org.au/2026/talk/BJU9SB/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-26T14:00:00+11:00 14:00 00:15 Kakaotalk, the most widely used instant messenger in South Korea, allows anyone to create open-chat rooms where up to 4,000 users can converse. Users can search for and anonymously join these rooms by topic. Such rooms may receive hundreds of messages daily, yet only about ten are visible on a single screen. Thus, tracking the conversation and reviewing another participant’s earlier remarks requires additional effort. Despite these communicative constraints, open-chat rooms have not been adequately examined in research on how users form ties through online conversation. Accordingly, this study examines how message characteristics and the frequency of co-participation shape the formation of conversation ties in these rooms. The formation of conversation ties may be associated with the extent of similarity in the content of two users’ messages. Users judge from message content how far their interests overlap with another's, and the presence of someone with similar interests lowers the burden of addressing a stranger, engaging the tendency to associate with similar others. Furthermore, the formation of conversation ties may be associated with the similarity of two users’ message lengths. Length may signal the engagement a person brings to the conversation. Long messages elaborate on thoughts and experiences, whereas short ones remain cursory. Users may address participants whose message lengths reflect a level of engagement similar to their own. Lastly, the formation of conversation ties may be associated with the frequency with which two users participate in the same conversation. Repeated co-participation in the same conversational stream heightens users’ awareness of one another. To this end, this study uses a multiple regression quadratic assignment procedure (MR-QAP) to examine how message similarity, differences in message length, and the frequency of co-participation are associated with the subsequent formation of conversation ties. A total of 110,515 messages were collected over roughly four months from an open-chat room focused on AI and divided into two periods, T1 and T2. Rapid developments in AI quickly render accumulated knowledge outdated, making this room well suited to observing how users assess one another and form ties from limited cues. A conversation tie was defined as a directed link from each speaker to the immediately preceding speaker. The T2 network, whose nodes were 349 active participants, served as the dependent variable, while predictors were constructed from T1. Message similarity was measured by cosine similarity between users’ messages, length difference by the absolute difference between their mean message lengths, and co-participation by the number of times they joined the same conversational stream. The T1 network and measures of preferential attachment, reciprocity, and transitivity derived from it were included as controls. Message similarity is expected to promote the formation of conversation ties by revealing shared interests when little other information is available. Message length difference, by contrast, is expected to have a negative effect because a larger difference indicates dissimilar levels of engagement. Co-participation frequency is also expected to have a positive effect because it increases the likelihood of tie formation through greater mutual awareness and more opportunities to respond. Overall, conversation ties in open-chat rooms are expected to form through immediate responses to message-level cues when participants have little accumulated information about one another. If our expectations are supported, they extend conventional accounts to a setting where the cues that guide attention are not records of past activity but the messages themselves. This study provides a starting point for examining how mechanisms identified in prior research operate differently in open-chat rooms and which other factors may become influential. 2026-320-who-replies-to-whom-the-formation-of-conversation-ties-in-open-chat-rooms Social Network Analysis (Abstracts reviewed by the ASNAC committee) /media/2026/submissions/9S8G7Z/analytic_framework_EN_mquzoyh_nJWP5Dg_rupLfKX_tST9q_woVVPaI.webp A-young, Choi en false https://conferences.acspri.org.au/2026/talk/9S8G7Z/ https://conferences.acspri.org.au/2026/talk/9S8G7Z/feedback/ MacCallum Room Presentation (abstract reviewed) 2026-11-26T14:15:00+11:00 14:15 00:15 Research on online communities shows that horizontal social control contributes to a sense of community that is important for sustaining these spaces. Through such control, users regulate one another’s behavior by identifying or criticizing norm violations. While these practices can strengthen a sense of community, they also raise concerns that heightened sensitivity to others’ judgments may discourage participation. To explore how social control shapes participation in online communities, this study focuses on call-outs as a public form of norm enforcement through which users identify a user’s behavior as a norm violation and invite others to judge it. FMKorea, one of the largest online communities in South Korea, provides a “Colosseum” category where any user can post call-outs in the politics and current affairs forum. These posts appear alongside ordinary posts, state a user’s username or ID, and cite their posts or comments as evidence of norm violations, allowing others to assess the cited behavior and whether the call-out is justified. Such call-outs may provide a pathway to influence within online communities. By publicly pointing out perceived norm violations, call-out authors act as informal norm enforcers and then become more visible within the community. Conversely, influential users can easily be call-out authors drawing on their existing positions. To explore this interplay, this study examines longitudinally whether users’ positions in each network influence their subsequent call-out activity (influence process) and whether their level of call-out activity shapes subsequent changes in their ties within each network (selection process). Furthermore, call-outs may affect users beyond their authors and targets. When users observe those they interact with engaging in call-outs, they may recognize that they, too, could become targets, encouraging caution in posting and commenting. Alternatively, interacting with call-out authors may give these users greater confidence to express their views. This study therefore examines whether ties with call-out authors inhibit or facilitate audience users’ subsequent activity. We constructed post–comment (net_P) and comment–reply (net_C) networks from non-call-out posts and comments to distinguish users’ influence in attracting attention through posts from their influence in engaging others in discussion. The analysis included 117 users over three waves; tie formations/dissolutions ranged from 209–238/201–245 in net_P and 162–177/117–153 in net_C. “Colosseum” posts were excluded from both networks and used to measure call-out activity as a behavioral variable. A stochastic actor-oriented model (SAOM) analyzed influence and selection processes while accounting for interdependencies between the two networks. Preliminary findings suggest that higher indegree in the post–comment network significantly increases subsequent call-out activity, which, in turn, significantly increases the likelihood of receiving replies in the comment–reply network. In addition, ties to call-out authors significantly decrease subsequent commenting among audience users. However, the standardized mean net upvote score (upvotes minus downvotes) received per call-out post was not significantly associated with subsequent call-out activity, nor was call-out activity significantly associated with the average call-out activity of users they interacted with in the comment–reply network. Our findings suggest that call-outs may enable influential users to convert broad attention gained through posts into direct interaction, becoming more deeply embedded in the community’s relational structure. Meanwhile, call-outs may impose participation costs on audience users and constrain discussion. This study deepens our understanding of how horizontal social control interacts with power relations to shape the distribution of influence and patterns of participation in online communities. 2026-296-whose-influence-grows-and-whose-voice-grows-quieter-the-relational-dynamics-of-call-outs-in-an-online-community Social Network Analysis (Abstracts reviewed by the ASNAC committee) /media/2026/submissions/3VPFVH/Table_1._SAOM_results_nipyzsj_vCVKtMj_55DTUKU_TiBlU0o.webp Ho Jun JOO en false https://conferences.acspri.org.au/2026/talk/3VPFVH/ https://conferences.acspri.org.au/2026/talk/3VPFVH/feedback/ Cullen Room Presentation (abstract reviewed) 2026-11-26T11:00:00+11:00 11:00 00:15 One of the challenges for mixed-method research is how to integrate findings from diverse methodological traditions. Network-based methods can identify patterns of associations among actors, issues, and concepts, but provide limited insight into how these associations are negotiated and sustained. Qualitative approaches, meanwhile, can reveal meanings, yet often difficult to connect systematically across large and complex relational settings. This paper proposes to addresses this methodological challenge through a framework that integrates semantic network analysis, cartography of controversies, and boundary theory. The framework was developed through a doctoral study of smart city development in Australia. The first component employs semantic network analysis across multiple datasets, including documents, news coverages, and codebases of government-funded and open source smart city (OSSC) initiatives. Rather than treating semantic networks as an end point, they were used as exploratory map to identify both shared conceptual spaces and conceptually distinct areas associated with different actors. Across datasets, concepts such as ‘open data’ and ‘citizen-centric’ emerged as common reference points linking government agencies and OSSC initiatives. At the same time, the networks revealed divergent thematic clusters. Government-funded projects commonly associated with sustainability, energy efficiency, public safety, and urban service delivery, while OSSC initiatives tended to emphasis democracy, accountability, food security, sustainable agriculture, and community empowerment. These patterns of convergence and divergence informed the second component of the framework: qualitative case studies using cartography of controversies. Following statements, actors, issues, documents, technologies, and institutional arrangements over time, the case studies traced how shared concepts were interpreted and enacted. While semantic networks suggested broad agreement around ideas such as openness and citizen-centric development, qualitative tracing revealed substantial differences in meaning. For example, government agencies frequently framed citizens as service users, consultees, or sources of urban data, whit participation occurring primarily through consultation processes and sensor-enabled urban management. In contrast, OSSC organisations positioned citizens as active participants in oversight, accountability, and knowledge production. Likewise, while both endorsed open data, they framed and practiced differently. Government agencies primarily associated open data with Open Government Data (OGD) and administrative procedures, whereas OSSC organisations linked both OGD and Freedom of Information to transparency, accountability, and the strengthening of community capacity. To integrate these findings, the paper draws on the concepts of boundary work and boundary objects. boundary object explains how concepts such as open data and citizen-centric can operate as shared reference points across heterogenous communities while remaining sufficiently flexible to accommodate divergent interpretations. Boundary work provides a means of analysing how actors construct, defend, challenge, and reconfigure the meanings attached to these concepts. Together, they offer an analytical bridge between network-level patterns and qualitative accounts of negotiation. Rather than treating quantitative and qualitative findings as separate streams of evidence, the framework uses boundary theory to explain how apparent conceptual convergence can coexist with substantive differences in interpretation and practice. This paper contributes to methodological discussions on mixed-methods approaches in three ways. First, it demonstrates how semantic network analysis can be used to identify potential boundary objects and guide qualitative inquiry. Second, it shows how cartography of controversies can reveal the processes through which shared concepts acquire different meanings across actor groups. Third, it illustrates how boundary work and boundary object can function as integrative devices for synthesising network patterns and interpretive forms of analysis. By linking networks to negotiations, the proposed framework offers a transferable approach for researchers seeking to combine network analysis and qualitative methods in the study of collaboration, governance, and socio-technical change. 2026-286-from-networks-to-negotiations-integrating-semantic-network-analysis-and-cartography-of-controversies-through-boundary-theory Multi-method and mixed methods research Xiaolan Cai en false https://conferences.acspri.org.au/2026/talk/PPABDF/ https://conferences.acspri.org.au/2026/talk/PPABDF/feedback/ Cullen Room Presentation (abstract reviewed) 2026-11-26T11:15:00+11:00 11:15 00:15 Social isolation is an established dementia risk factor, linked to 5% of dementia cases globally. Candidate risk mechanisms include direct cognitive benefits, mental health benefits, and social influence improving health behaviour. Health promotion messaging calls individuals to socialise to reduce their dementia risk, with heterogeneity among recommendations. Our sequential mixed-methods study aimed to more effectively promote social engagement to reduce dementia risk. Participants were older adults (aged 50+) engaged in the Island Study Linking Aging and Neurodegenerative Disease (ISLAND), a Tasmanian longitudinal cohort study that monitors, and educates about, dementia protective behaviour. To investigate participants’ understanding and enactment of existing messages promoting social engagement to reduce dementia risk, semi-structured interviews were conducted with a purposively sampled ISLAND participant subset (n=27). Sampling aimed to achieve breadth of coverage across individual characteristics (example: gender, education, age), social circumstances (example: living alone or cohabiting, working or retired), and social preferences (extraversion). Interview transcripts were analysed using reflexive thematic analysis. Interview participants understood messages about socialising for dementia risk reduction within broader knowledge frameworks. These broader knowledge-frames included experiential knowledge of social engagement’s impact on cognition, preferred forms and previous experiences of social engagement, and broader priorities and constraints. Specificity, perceived trustworthiness, and individual relevance of health promotion information impacted the weight placed on this within broader knowledge-frames. Participants described enjoyably enacting health promotion messages when they perceived sufficient congruence between health promotion information and their broader knowledge-frame, with some individuals having greater incongruence tolerance. When incongruence tolerance was exceeded, participants described either disregarding or conflictedly enacting health promotion information. For some, this caused anxiety. Participants discussed social resilience and adaptability as facilitating enjoyable enactment of social activity when facing changing social circumstances. To improve message specificity, and potentially increase individual relevance, we examined the relationship between social engagement and cognition across people with different social preferences (extraversion) using multiple mixed-effects linear regression models and a pooled cross-sectional design (980 observations, 622 participants). All models were adjusted for age, gender, and education level, along with project timepoint, repeated cognitive assessments, and multiple observations per-participant. Online tools measured cognition (age-standardised Cambridge Neuropsychological Test Automated Battery (CANTAB) paired associate learning (episodic memory) and spatial working memory (executive function)); extraversion (10item Big Five Inventory); and social engagement (Lubben Social Network Scale friends, family, and neighbours subscales; two loneliness questions). Across the extraversion continuum, episodic memory scores were significantly better among participants who reported more engagement with family (p(main effect)=.004, gradient[confidence interval]: .017[.005-.029]; p(interaction)=.11). There was a relationship between engagement with neighbours and episodic memory only when considering differences across the extraversion continuum (p(interaction)=.038); better episodic memory scores were associated with more engagement with neighbours only among less extraverted participants (extraversion 25th percentile gradient[confidence interval]: .020 [.005-.035]; extraversion 75th percentile gradient[confidence interval]: .000[-.017-.018]). In gender stratified analyses, an additional significant interaction showed a stronger relationship between family engagement and episodic memory scores among more extraverted men (interaction p(men)=.028; extraversion 25th percentile gradient[confidence interval](men): .012[-.002-.025]; extraversion 75th percentile gradient[confidence interval](men): .024 [.009-.039]). No significant associations were found for executive function. We identified requisites for enjoyable enactment of messages promoting socialising to reduce dementia risk and generated evidence that indicates engagement with neighbours may be beneficial among less extraverted individuals, while engagement with family may have benefit for all, particularly more extraverted men. Incorporating this evidence into messages promoting socialising to reduce dementia risk may improve specificity and perceived message relevance, promoting enjoyable enactment. 2026-301-the-mental-gymnastics-of-socialising-to-protect-an-aging-brain-a-mixed-methods-study-to-improve-health-promotion-messaging Multi-method and mixed methods research Hannah Fair en false https://conferences.acspri.org.au/2026/talk/QBKEBA/ https://conferences.acspri.org.au/2026/talk/QBKEBA/feedback/ Cullen Room Presentation (abstract reviewed) 2026-11-26T11:30:00+11:00 11:30 00:15 Segregation is usually measured from residential census data, which records where people sleep rather than where they spend their days. Far less is known about segregation in activity spaces: where people travel, whom they visit, and how they distribute their time. Even in cities of unprecedented diversity, everyday movement often follows habitual, stable patterns that may quietly reproduce informal segregation. Integrating human geography with social psychology and the habit-rupture model of intergroup contact (Paolini et al., 2026), this study examines how mobility choices shape stable levels of exposure to diversity in the multicultural setting of Sydney, Australia. Drawing on a diverse sample of 500 adults from majority and minority backgrounds across five neighbourhood types varying systematically in ethnic diversity, we combine three-month smartphone-based GPS tracking with psychological assessments and egocentric network surveys. We examine whether GPS-derived mobility trajectories across ethnically diverse versus homogeneous urban spaces align with participants' attitudes towards interethnic contact and their everyday intergroup experiences. Here we present the first results from the GPS tracking component, visualising participants' activity spaces and describing their exposure to neighbourhoods with differing ethnic compositions. We then set out the analytic strategy in prospect. Latent-class analyses will identify typologies linking psychological dispositions and the ethnic composition of participants' personal networks with spatial behaviour, distinguishing habitual from exploratory navigation. Major life events before and during tracking (e.g., relocation, commencing university, job changes) are recorded to separate habitual from rupture periods and to estimate their behavioural consequences for spatial practices. By situating human mobility within individual dispositions, environmental constraints, habits and life transitions, the study advances understanding of when and why people sustain or depart from segregated routines, illuminating the behavioural foundations of intergroup contact in everyday settings. 2026-260-spatial-habits-and-intergroup-contact-in-multicultural-sydney-a-gps-based-approach Multi-method and mixed methods research Aaron Lauterbach en false https://conferences.acspri.org.au/2026/talk/TJS3KX/ https://conferences.acspri.org.au/2026/talk/TJS3KX/feedback/