BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//conferences.acspri.org.au//2026//talk//PPABDF BEGIN:VTIMEZONE TZID:AEST BEGIN:STANDARD DTSTART:20000326T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3;UNTIL=20050326T170000Z TZNAME:AEST TZOFFSETFROM:+1100 TZOFFSETTO:+1000 END:STANDARD BEGIN:STANDARD DTSTART:20060402T040000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060401T170000Z TZNAME:AEST TZOFFSETFROM:+1100 TZOFFSETTO:+1000 END:STANDARD BEGIN:STANDARD DTSTART:20070325T040000 RRULE:FREQ=YEARLY;BYDAY=4SU;BYMONTH=3;UNTIL=20070324T170000Z TZNAME:AEST TZOFFSETFROM:+1100 TZOFFSETTO:+1000 END:STANDARD BEGIN:STANDARD DTSTART:20080406T040000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4 TZNAME:AEST TZOFFSETFROM:+1100 TZOFFSETTO:+1000 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000827T030000 RRULE:FREQ=YEARLY;BYDAY=4SU;BYMONTH=8;UNTIL=20000826T170000Z TZNAME:AEDT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20011028T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20071027T170000Z TZNAME:AEDT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20081005T030000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10 TZNAME:AEDT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-2026-PPABDF@conferences.acspri.org.au DTSTART;TZID=AEST:20261126T110000 DTEND;TZID=AEST:20261126T111500 DESCRIPTION:One of the challenges for mixed-method research is how to integ rate findings from diverse methodological traditions. Network-based method s can identify patterns of associations among actors\, issues\, and concep ts\, but provide limited insight into how these associations are negotiate d and sustained. Qualitative approaches\, meanwhile\, can reveal meanings\ , yet often difficult to connect systematically across large and complex r elational settings. This paper proposes to addresses this methodological c hallenge through a framework that integrates semantic network analysis\, c artography of controversies\, and boundary theory.\nThe framework was deve loped through a doctoral study of smart city development in Australia. The first component employs semantic network analysis across multiple dataset s\, including documents\, news coverages\, and codebases of government-fun ded and open source smart city (OSSC) initiatives. Rather than treating se mantic networks as an end point\, they were used as exploratory map to ide ntify both shared conceptual spaces and conceptually distinct areas associ ated with different actors. Across datasets\, concepts such as ‘open dat a’ 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 u rban service delivery\, while OSSC initiatives tended to emphasis democrac y\, accountability\, food security\, sustainable agriculture\, and communi ty empowerment.\nThese patterns of convergence and divergence informed the second component of the framework: qualitative case studies using cartogr aphy of controversies. Following statements\, actors\, issues\, documents\ , technologies\, and institutional arrangements over time\, the case studi es traced how shared concepts were interpreted and enacted. While semantic networks suggested broad agreement around ideas such as openness and citi zen-centric development\, qualitative tracing revealed substantial differe nces in meaning. For example\, government agencies frequently framed citiz ens as service users\, consultees\, or sources of urban data\, whit partic ipation occurring primarily through consultation processes and sensor-enab led urban management. In contrast\, OSSC organisations positioned citizens as active participants in oversight\, accountability\, and knowledge prod uction. Likewise\, while both endorsed open data\, they framed and practic ed differently. Government agencies primarily associated open data with Op en Government Data (OGD) and administrative procedures\, whereas OSSC orga nisations linked both OGD and Freedom of Information to transparency\, ac countability\, and the strengthening of community capacity.\nTo integrate these findings\, the paper draws on the concepts of boundary work and boun dary 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 divergen t 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 treat ing quantitative and qualitative findings as separate streams of evidence\ , the framework uses boundary theory to explain how apparent conceptual co nvergence can coexist with substantive differences in interpretation and p ractice.\nThis paper contributes to methodological discussions on mixed-me thods approaches in three ways. First\, it demonstrates how semantic netwo rk analysis can be used to identify potential boundary objects and guide q ualitative inquiry. Second\, it shows how cartography of controversies can reveal the processes through which shared concepts acquire different mean ings across actor groups. Third\, it illustrates how boundary work and bou ndary object can function as integrative devices for synthesising network patterns and interpretive forms of analysis. By linking networks to negoti ations\, the proposed framework offers a transferable approach for researc hers seeking to combine network analysis and qualitative methods in the st udy of collaboration\, governance\, and socio-technical change. DTSTAMP:20261013T075844Z LOCATION:Cullen Room SUMMARY:From networks to negotiations: Integrating semantic network analysi s and cartography of controversies through boundary theory - Xiaolan Cai URL:https://conferences.acspri.org.au/2026/talk/PPABDF/ END:VEVENT END:VCALENDAR