Quantifying collective intelligence in human groups
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Show full item recordAbstract
<jats:title>Significance</jats:title>
<jats:p>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.</jats:p>
Date issued
2021Department
Sloan School of Management; Massachusetts Institute of Technology. Center for Collective IntelligenceJournal
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