- Abstract:
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Citizen science has the potential to expand the scope and scale of research in ecology and conservation, but many professional researchers remain skeptical of data produced by nonexperts. We devised an approach for producing accurate, reliable data from untrained, nonexpert volunteers. On the citizen science website www.snapshotserengeti.org, more than 28,000 volunteers classified 1.51 million images taken in a large-scale camera-trap survey in Serengeti National Park, Tanzania. Each image wa...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 892.5kb)
-
- Publisher copy:
- 10.1111/cobi.12695
-
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- Grant:
- Thesis Research Grants; Office of International Programs
- Publisher:
- Wiley Publisher's website
- Journal:
- Conservation biology : the journal of the Society for Conservation Biology Journal website
- Volume:
- 30
- Issue:
- 3
- Pages:
- 520-531
- Publication date:
- 2016
- DOI:
- EISSN:
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1523-1739
- ISSN:
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0888-8892
- URN:
-
uuid:6bc243cb-bb0b-4691-9258-7d48aea53f52
- Source identifiers:
-
619688
- Local pid:
- pubs:619688
- Copyright holder:
- Swanson et al.
- Copyright date:
- 2016
- Notes:
-
Copyright © 2016 The Authors. Conservation Biology published by Wiley Periodicals, Inc. on behalf of Society for Conservation Biology.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Journal article
A generalized approach for producing, quantifying, and validating citizen science data from wildlife images.
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Explorer’s Club
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+ University of Minnesota
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