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UID:pretalx-2024-FKZSAD@conferences.acspri.org.au
DTSTART;TZID=AEST:20241128T120000
DTEND;TZID=AEST:20241128T121500
DESCRIPTION:On behalf of the Scanlon Foundation Research Institute\, the Ci
 vic Opportunities Index aimed to develop local government authority (LGA)-
 level estimates of civic opportunities available to Australians\, adapting
  methodologies from de Vries et al.’s (2024) U.S. civic opportunities ind
 ex. This index classifies organisation-level opportunities for events\, me
 mbership\, volunteering\, and taking action. The project utilised a combin
 ation of data sources: the Australian Charities and Not-for-profits Commis
 sion Charity Register\, Annual Information Statement Register\, and progra
 ms register\, as well web-scraped data from non-profit organisations’ web
 sites. Organisational opportunities were predicted from the web-scraped co
 rpus using various machine learning approaches (lasso\, random forests\, a
 nd XGboost). This presentation will explore the various methodologies empl
 oyed in the project to detect and categorise civic activities. The methodo
 logies include traditional web scraping techniques\, the use of large lang
 uage models (LLMs)\, and human coding. We also address potential shortcomi
 ngs and limitations in the work\, as well as areas of potential improvemen
 t.
DTSTAMP:20260912T205142Z
LOCATION:Sutherland Room
SUMMARY:Mapping Civic Engagement: Methodologies and Insights from the Austr
 alian Civic Opportunities Index Project - Benjamin Phillips\, Aaron Willco
 x
URL:https://conferences.acspri.org.au/2024/talk/FKZSAD/
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