Recently Published Research:
- Yang, Yang, Youyou Wu, and Brian Uzzi. "Estimating the deep replicability of scientific findings using human and artificial intelligence", Proceedings of the National Academy of Science, May 2020. (PDF VERSION)
- Oliveira, Diego F.M., Yifang Ma, Teresa Woodruff, and Brian Uzzi. “National Institutes of Health Grant Amounts to First-time Male and Female Principal Investigators”. Journal of the American Medical Association, 5 March 2019. (PDF VERSION)
Recent Media Hits:
Washington Post: Women ask for coffee, men tend to call in favors: Why pandemic networking is even harder for women (May 2020)
Fortune: How A.I. may help solve science’s ‘reproducibility’ crisis (May 2020)
Brian Uzzi is the Richard L. Thomas Professor of Leadership at the Kellogg School of Management, Northwestern University. He also co-directs the Northwestern Institute on Complex Systems (NICO), and holds professorships in Sociology and the McCormick School of Engineering. He has been on or visited the faculties of INSEAD, Chicago, Harvard, and Berkeley. His work has received 15 teaching prizes and 13 scientific research prizes worldwide in the social, physical, and computer sciences.
His research uses social network science and computational methods to explain outstanding human achievement. Media outlets featuring his research include the WSJ, Newsweek, The Economist, The New Yorker, Fortune, other media outlets and TV, and scientific journals in management, physics, ecology, sociology, medicine, economics, psychology, and computer science have covered or published his research. Grants for his research have come from the U.S. government and private agencies.