Quantifying collective intelligence in human groups
Name
pnas.2005737118.pdf
Description
Published version
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959.08 KB
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Adobe PDF
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Author(s)
Riedl, Christoph
Kim, Young Ji
Gupta, Pranav
Malone, Thomas W
Woolley, Anita Williams
Date Issued
2021
Journal
Proceedings of the National Academy of Sciences of the United States of America
Publisher
Proceedings of the National Academy of Sciences
Citation
Riedl, Christoph, Kim, Young Ji, Gupta, Pranav, Malone, Thomas W and Woolley, Anita Williams. 2021. "Quantifying collective intelligence in human groups." Proceedings of the National Academy of Sciences of the United States of America, 118 (21).
Version
Final published version
Abstract
Significance
Collective intelligence (CI) is critical to solving many scientific, business, and other problems. We find strong support for a general factor of CI using meta-analytic methods in a dataset comprising 22 studies, including 5,279 individuals in 1,356 groups. CI can predict performance in a range of out-of-sample criterion tasks. CI, in turn, is most strongly predicted by group collaboration process, followed by individual skill and group composition. The proportion of women in a group is a significant predictor of group performance, mediated by social perceptiveness.
Collective intelligence (CI) is critical to solving many scientific, business, and other problems. We find strong support for a general factor of CI using meta-analytic methods in a dataset comprising 22 studies, including 5,279 individuals in 1,356 groups. CI can predict performance in a range of out-of-sample criterion tasks. CI, in turn, is most strongly predicted by group collaboration process, followed by individual skill and group composition. The proportion of women in a group is a significant predictor of group performance, mediated by social perceptiveness.
MIT Department
Sloan School of Management
Massachusetts Institute of Technology. Center for Collective Intelligence
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1073/PNAS.2005737118
