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Brian Uzzi

Brian Uzzi

· Richard L. Thomas Professor of Leadership and Organizational Change; Co-Director, Northwestern Institute on Complex Systems (NICO); Co-Director, Ryan Institute on Complexity; Professor of Industrial Engineering and Management Sciences, McCormick School (Courtesy); Professor of Sociology, Weinberg

Northwestern University · Management & Organizations

Active 1990–2026

h-index56
Citations38.3k
Papers19140 last 5y
Funding—

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Brian Uzzi is the Richard L. Thomas Professor of Leadership at the Kellogg School of Management, Northwestern University. He also serves as Co-Director of the Northwestern University Institute on Complex Systems (NICO) and The Ryan Institute on Complexity (RIC), and holds positions as a professor in sociology and the McCormick School of Engineering. His work focuses on the link between social networks and human achievement, as well as the role of artificial intelligence in mind and machine partnerships. Uzzi has been recognized with over 30 teaching and research prizes worldwide across sociology, management, ecology, and computer science, and is a Network Science Society Fellow, a recipient of the Euler Award, and a member of the American Academy of Arts and Sciences. His academic career includes faculty positions at Harvard, INSEAD, the University of Chicago, and Berkeley. His research has been widely cited and funded by organizations such as DARPA and NSF, and he also consults for companies and governments globally. Uzzi holds a PhD in sociology from Stony Brook University and has a diverse background that includes work as a carpenter and musician.

Research topics

  • Psychology
  • Computer Science
  • Political Science
  • Sociology
  • Medicine
  • World Wide Web
  • Gender studies
  • Social psychology
  • Medical education
  • Management

Selected publications

  • Gender-diverse teams produce more novel and higher-impact scientific ideas

    Proceedings of the National Academy of Sciences · 2022 · 334 citations

    Senior authorCorresponding

    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 o…

  • Mentorship and protégé success in STEM fields

    Proceedings of the National Academy of Sciences · 2020 · 118 citations

    Senior authorCorresponding

    Einstein believed that mentors are especially influential in a protégé's intellectual development, yet the link between mentorship and protégé success remains a mystery. We marshaled genealogical data on nearly 40,000 scientists who published 1,167,518 papers in biomedicine, chemistry, math, or physics between 1960 and 2017 to investigate the relationship between mentorship and protégé achievement. In our data, we find groupings of mentors with similar records and reputations who attracted proté…

  • Data, measurement and empirical methods in the science of science

    Nature Human Behaviour · 2023-06-01 · 102 citations

    reviewOpen access
  • A discipline-wide investigation of the replicability of Psychology papers over the past two decades

    Proceedings of the National Academy of Sciences · 2023-01-30 · 80 citations

    articleOpen accessSenior author

    Conjecture about the weak replicability in social sciences has made scholars eager to quantify the scale and scope of replication failure for a discipline. Yet small-scale manual replication methods alone are ill-suited to deal with this big data problem. Here, we conduct a discipline-wide replication census in science. Our sample ( N = 14,126 papers) covers nearly all papers published in the six top-tier Psychology journals over the past 20 y. Using a validated machine learning model that estim…

  • Weak ties, failed tries, and success

    Science · 2022-09-15 · 20 citations

    articleSenior author

    A large-scale study provides a causal test for a cornerstone of social science.

Frequent coauthors

Education

  • PhD, Sociology

    Stony Brook University

    1994

Awards & honors

  • Network Science Society Fellow
  • Euler Award
  • Lifetime Professor of the Year
  • Kellogg-Racanti Executive MBA Program Euler Award
  • Professor of the Year (2013, 2014, 2018-2020)

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