Strengthening community data: Towards pervasive participation

John M. Carroll, Jordan Beck, Shipi Dhanorkar, Jomara Binda, Srishti Gupta, Haining Zhu

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

10 Scopus citations

Abstract

Data, big data, and data analytics are contemporary touchstones for rational and technocratic thinking about human activity. Data also provide a new foundation and focus for community innovation, and new concrete possibilities for enhancing community activities, experiences, and civic participation.We present and discuss a series of community design scenarios envisioning how community data can be produced, gathered, analyzed, interpreted and used by community members to enhance community awareness and engagement, to provide new opportunities for learning and development among community members, and to increase the transparency, effectiveness and fairness of local government. Our argument is that community data can be seen as a vehicle not only for more pervasive participation in local communities but also for richer, better-grounded, and more effective participation.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th Annual International Conference on Digital Government Research
Subtitle of host publicationGovernance in the Data Age, DG.O 2018
EditorsCharles C. Hinnant, Anneke Zuiderwijk
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450365260
DOIs
StatePublished - May 30 2018
Event19th Annual International Conference on Digital Government Research: Governance in the Data Age, DG.O 2018 - Delf, Netherlands
Duration: May 30 2018Jun 1 2018

Publication series

NameACM International Conference Proceeding Series

Other

Other19th Annual International Conference on Digital Government Research: Governance in the Data Age, DG.O 2018
Country/TerritoryNetherlands
CityDelf
Period5/30/186/1/18

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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