Sharing Community Data: Platform Collectivism for Managing Water Quality

John M. Carroll, Jordan Beck

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

1 Scopus citations

Abstract

We are investigating community data, which is data gathered, analyzed, interpreted, and used by members of a local community. We discuss the ways that developing data literacy could result in more substantive civic participation and decision-making. Community members are already engaged in community data practices. Our goal is to help make these data more visible and accessible throughout the community and to engage the community at large in deliberation and planning with respect to its data. We report high-level outcomes of a community data hackathon that we facilitated along with a group of local water quality stakeholders. In order to design and develop an open community data platform and to build social infrastructure to sustain a long-term community data project, we plan to organize a series of these community-wide hackathon events.

Original languageEnglish (US)
Title of host publicationThe Interplay of Data, Technology, Place and People for Smart Learning- Proceedings of the 3rd International Conference on Smart Learning Ecosystems and Regional Development
EditorsHendrik Knoche, Antonia Cartelli, Elvira Popescu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages62-69
Number of pages8
ISBN (Print)9783319920214
DOIs
StatePublished - 2019
Event3rd International Conference on Smart Learning Ecosystems and Regional Development, SLERD 2018 - Aalborg, Denmark
Duration: May 23 2018May 25 2018

Publication series

NameSmart Innovation, Systems and Technologies
Volume95 SIST
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference3rd International Conference on Smart Learning Ecosystems and Regional Development, SLERD 2018
Country/TerritoryDenmark
CityAalborg
Period5/23/185/25/18

All Science Journal Classification (ASJC) codes

  • General Decision Sciences
  • General Computer Science

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