Enhancing collective intelligence through citizen science: The case of the GROW citizens’ observatory

Drew Hemment, Mel Woods, Raquel Ajates Gonzalez, Andrew Cobley, Angelika Xaver

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

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Abstract

Citizens' Observatories (COs) are a recent innovation connecting people, science and technologies to create collaborative data, knowledge and action around environmental challenges, both local and global (Hemment et al. 2016a). We argue COs present a novel framework for collective intelligence, with reference to the GROW Observatory (GROW), which builds community and insights through the collaborative sensing of soil, in particular soil moisture. The ambition in GROW is to enhance and harness collective intelligence through data and knowledge derived in collaboration between community food production networks, soil and satellite scientists, and policy makers, and thereby to play a vital role in addressing issues related to climate action, food security, and life on land.
Original languageEnglish
Title of host publicationCollective Intelligence 2019 Proceedings
PublisherAssociation for Computing Machinery (ACM)
Pages1-4
Number of pages4
Publication statusPublished - 13 Jun 2019
EventCollective Intelligence 2019 - Carnegie Mellon University, Pittsburgh, United States
Duration: 13 Jun 201914 Jun 2019
http://ci.acm.org/2019/#/

Conference

ConferenceCollective Intelligence 2019
CountryUnited States
CityPittsburgh
Period13/06/1914/06/19
Internet address

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  • Research Output

    Enhancing collective intelligence through citizen science: The case of the GROW citizens’ observatory

    Hemment, D., Woods, M., Ajates Gonzalez, R., Cobley, A. & Xaver, A., 13 Jun 2019.

    Research output: Contribution to conferencePoster

  • Cite this

    Hemment, D., Woods, M., Ajates Gonzalez, R., Cobley, A., & Xaver, A. (2019). Enhancing collective intelligence through citizen science: The case of the GROW citizens’ observatory. In Collective Intelligence 2019 Proceedings (pp. 1-4). [7] Association for Computing Machinery (ACM).