Crowdsourcing Decision-making
Crowdsourcing Decision-Making is a collective decision-making approach that leverages input from a large, diverse group of individuals, typically through open calls or digital platforms, to aggregate decentralized knowledge, preferences, or judgments in order to inform or determine a shared outcome.
512
Publications
30.9K
Citations
1.4K
Authors
563
Institutions
Publications per year
2017–2026
223
Parents
512
Crowdsourcing the Public Participation Process for Planning Projects
Daren C. Brabham · Planning Theory · 2009 · 670 citations
Using the crowd as an innovation partner.
Kevin Boudreau, Karim R. Lakhani · PubMed · 2013 · 635 citations
1–5 of 512
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563
Stanford University
Stanford, United States
18 h-index
57 publications
3.2K citations
Microsoft (United States)
Redmond, United States
18 h-index
34 publications
2.7K citations
University of California, Berkeley
Berkeley, United States
14 h-index
29 publications
2.4K citations
Nanyang Technological University
Singapore, Singapore
14 h-index
39 publications
2.4K citations
University of Washington
Seattle, United States
13 h-index
31 publications
2.1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
12 h-index
26 publications
1.2K citations
Carnegie Mellon University
Pittsburgh, United States
12 h-index
23 publications
3.9K citations
University of Michigan
Ann Arbor, United States
12 h-index
25 publications
1.9K citations
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15 publications · 568 citations
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Repository · 17 publications · 479 citations
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TKDE · 8 publications · 405 citations
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Conference · 8 publications · 490 citations
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Repository · 7 publications · 339 citations
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