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IEEE Pervasive Computing
Article . 2014 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2014
Data sources: DBLP
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Taking Participatory Citizen Science to Extremes

Authors: Matthias Stevens; Michalis Vitos; Julia Altenbuchner; Gillian Conquest; Jerome Lewis; Muki Haklay;

Taking Participatory Citizen Science to Extremes

Abstract

University College London's Extreme Citizen Science research group (UCL ExCiteS) is experimenting with ways to incorporate the most marginalized communities into participatory citizen science activities through which they can share their indigenous knowledge. The group works with communities at the extremes of the globalized world--both because of nonliteracy and the remote or forbidding environments they inhabit. These groups are the gatekeepers of some key environments on which the future health of the planet depend--from tropical forests to Arctic sea-ice. This article presents the methodologies and tools the group is developing to give these people a voice. This article is part of a special issue on pervasive analytics and citizen science.

Country
United Kingdom
Related Organizations
Keywords

HCI, participatory mapping, ICT4D, pervasive computing, citizen science, literacy

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    76
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
76
Top 10%
Top 10%
Top 10%
Green
bronze