Participatory to what end? Mapping motivations for participatory approaches in data-driven projects

Judith Faßbender*, Tristan Henderson*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Participation in data-driven projects is a popular approach and often connected to the idea of more equitable projects. The lack, however, of an agreed definition of what constitutes participation leads to fuzziness surrounding possible motivations for participation. This in turn diminishes the ability of facilitators to communicate what to expect from a participatory process to participants and the public. To better understand this, we conduct a systematic literature review and analyse the claimed motivations for implementing participation in data-driven projects. We find three overarching categories: value-, effectiveness-, and efficiency-focused motivations. We discuss overlaps and issues within these categories, such as the implications of project-internal demands (the realisation and working of a project) and project-external demands (codified demands in frameworks, policies and rights).
Original languageEnglish
Title of host publicationProceedings of the 2024 International Conference on Information Technology for Social Good (GoodIT '24)
Place of PublicationNew York
PublisherACM
Pages301 - 305
ISBN (Print)9798400710940
DOIs
Publication statusPublished - 4 Sept 2024
EventACM 4th International Conference on Information Technology for Social Good (GoodIT 2024) - Bremen, Germany
Duration: 4 Sept 20246 Sept 2024
Conference number: 4
https://blogs.uni-bremen.de/goodit2024/

Conference

ConferenceACM 4th International Conference on Information Technology for Social Good (GoodIT 2024)
Abbreviated titleGoodIT 2024
Country/TerritoryGermany
CityBremen
Period4/09/246/09/24
Internet address

Keywords

  • Participation
  • Data-driven
  • Participatory data governance

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