Abstract
Science’s changing demographics raise new questions about research team diversity and research outcomes. We study mixed-gender research teams, examining 6.6 million papers published across the medical sciences since 2000 and establishing several core findings. First, the fraction of publications by mixed-gender teams has grown rapidly, yet mixed-gender teams continue to be underrepresented compared to the expectations of a null model. Second, despite their underrepresentation, the publications of mixed-gender teams are substantially more novel and impactful than the publications of same-gender teams of equivalent size. Third, the greater the gender balance on a team, the better the team scores on these performance measures. Fourth, these patterns generalize across medical subfields. Finally, the novelty and impact advantages seen with mixed-gender teams persist when considering numerous controls and potential related features, including fixed effects for the individual researchers, team structures, and network positioning, suggesting that a team’s gender balance is an underrecognized yet powerful correlate of novel and impactful scientific discoveries.
Original language | English (US) |
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Article number | e2200841119 |
Journal | Proceedings of the National Academy of Sciences of the United States of America |
Volume | 119 |
Issue number | 36 |
DOIs | |
State | Published - Sep 6 2022 |
Funding
ACKNOWLEDGMENTS. This study is supported by the Air Force Office of Scientific Research under Minerva Award FA9550-19-1-0354, the Northwestern Alumnae Grant, and the Northwestern University Institute on Complex Systems and Data Science. The access to NamSor API is funded by a research budget grant when Y.Y. was at Syracuse University. We wish to thank the participants at the Science of Science Funding National Bureau of Economic Research Summer Institute meeting, the 2022 International Conference on the Science of Science & Innovation, and the two anonymous reviewers and Susan Fiske for their excellent comments.
Keywords
- computational social science
- gender inequality
- innovation
- team science
ASJC Scopus subject areas
- General