Quantifying collective intelligence in human groups
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 17, 2021
- Source ID
- 10.1073/pnas.2005737118
Entities
People
- Anita Williams Woolley
- Christoph Riedl
- Pranav Gupta
- Thomas W. Malone
- Young Ji Kim
Organizations
- Army Research Office
- Carnegie Mellon University
- Massachusetts Institute of Technology
- Northeastern University
- University of California