Associate Professor | Faculty Director, Haas AI Living Labs
Management of Organizations
Expert on social networks, AI and the coordination of work, and health care organizations
About
Mathijs de Vaan is an associate professor of business administration in the Management of Organizations group at the UC Berkeley Haas School of Business, and faculty director of the Haas AI Living Labs, the school’s strategic initiative on artificial intelligence. In that role he leads Haas’ work to integrate AI across research, teaching, industry partnerships, and school operations
De Vaan’s research examines how social networks and social influence shape economic and organizational outcomes, with a current focus on how artificial intelligence is reshaping the coordination of work. One line of work studies AI in science: how large language models change scientific productivity and practice, how hallucinated citations enter and persist in the scientific record, and whether status and credit are becoming more concentrated as AI lowers the cost of producing research. A second line studies AI inside organizations, using field partnerships and randomized experiments to examine how AI workflow automation and collaborative AI tools alter coordination, collaboration networks, and the discovery of expertise within firms, and how AI compares to human coaching in developing employees. A third line uses population-scale administrative data to study the labor market and health consequences of technological change, including the effects of AI exposure on worker mental health. Earlier work used large-scale health care claims data to study how relationships among patients and physicians drive variation in the cost and quality of care, and documented inequality in science and in markets for expertise, including cumulative advantage in research funding and gender gaps in who is recognized as an expert. His work has appeared in Science, Nature, the American Sociological Review, Administrative Science Quarterly, Management Science, the American Journal of Sociology, and the Proceedings of the National Academy of Sciences.
De Vaan teaches Leading People, the core organizational behavior course in the Full-time and Evening & Weekend MBA programs, and teaches in Berkeley Executive Education programs for technology and human resources leaders. He has received Haas’ Club 6 recognition for teaching excellence and received the Schwabacher Award in 2021. He is an associate editor at Management Science and serves on the editorial review board of Organization Science. He earned a PhD in sociology from Columbia University and a PhD in economic geography from Utrecht University.
Expertise and Research Interests
- Social Networks
- Artificial Intelligence and the Coordination of Work
- Science of Science
- Zhao, Zhenyue, Yihe Wang, Toby Stuart, Mathijs de Vaan, Paul Ginsparg, and Yian Yin. Non-existent citations reveal widespread LLM hallucinations in science. Nature.
2026 - Keigo Kusumegi, Xinyu Yang, Paul Ginsparg, Mathijs de Vaan, Toby Stuart, and Yian Yin. Scientific Production in the Era of Large Language Models. Science.
2025 - Mathijs de Vaan and Toby Stuart. Referral Triads. Administrative Science Quarterly.
2025 - Müge Simsek, Mathijs de Vaan, and Arnout van de Rijt. Do Grant Proposal Texts Matter for Funding Decisions? A Field Experiment. Scientometrics.
2024 - Mathijs de Vaan and Toby Stuart. Gender in the Markets for Expertise. American Sociological Review.
2022 - Savannah Bergquist and Mathijs de Vaan. Hospitalizations Reduce Health Care Utilization of Household Members. Health Services Research.
2022 - Thijs Bol, Mathijs de Vaan, and Arnout van de Rijt. Gender-Equal Funding Rates Conceal Unequal Evaluations. Research Policy.
2022 - Mathijs de Vaan, Saqib Mumtaz, Abhishek Nagaraj, and Sameer Srivastava. Social Learning in the COVID-19 Pandemic: Community Establishments’ Closure Decisions Follow Those of Nearby Chain Establishments. Management Science.
2021 - Abhishek Nagaraj, Esther Shears, and Mathijs de Vaan. Improving Data Access Democratizes and Diversifies Science. Proceedings of the National Academy of Sciences.
2020 - Mathijs de Vaan and Toby Stuart. Does Intra-household Contagion Cause an Increase in Prescription Opioid Use?. American Sociological Review.
June 2019 - Mathijs de Vaan, Benjamin Elbers, and Tom DiPrete. Obscured Transparency? Compensation Benchmarking and the Biasing of Executive Pay. Management Science.
2019 - Thijs Bol, Mathijs de Vaan, Arnout van de Rijt. The Matthew Effect in Science Funding. Proceedings of the National Academy of Sciences.
2018
At Haas since 2015
- 2026 – present, Faculty Director, Haas AI Living Labs (AI Strategic Initiative), UC Berkeley Haas School of Business
- 2023 – present, Associate Professor, UC Berkeley Haas School of Business
- 2015 – 2023, Assistant Professor, UC Berkeley Haas School of Business
- Associate Editor, Management Science (2022 – present)
- Member, Berkeley Haas Computing Committee (2022 – present)
- Editorial Review Board, Organization Science (2021 – present)
- Field Advisor, Berkeley Haas MORS PhD Program (2017 – 2023)
- Ad hoc reviewer: American Journal of Sociology, American Sociological Review, Administrative Science Quarterly, Management Science, PNAS, Nature, Research Policy, Social Forces, Sociological Science
- Dutch (Native)
- English (Fluent)
- French (Intermediate)
- German (Intermediate)
- Club 6 recognition for teaching excellence, UC Berkeley Haas
- IRLE Faculty Award, UC Berkeley Institute for Research on Labor and Employment — 2024
- Schwabacher Award for outstanding research, service, and scholarly growth, UC Berkeley Haas — 2021
- Hellman Family Faculty Fund Award — 2017
- Research Grant in Business Analytics, Fisher Center for Business Analytics — 2017
- Alex Inkeles Award for Outstanding Graduate Student, Department of Sociology, Columbia University — 2015
- NSF Science of Organizations Grant (with Tom DiPrete) — 2014
- Paul Lazarsfeld PhD Fellowship, Columbia University — 2011
- Why Your Boss Wants to Make Sure AI Can Read Your Slack Messages, The Wall Street Journal, 08/22/2026
- UCOP to launch AI Buddy Program to support staff with AI adoption, The Daily Californian, 07/06/2026
- Leading People, MBA Core Course (Full-time and Evening & Weekend MBA)
- Research in Macro-Organizational Behavior, PhD Seminar
- Berkeley Executive Education: CTO Program, CHRO Program, Technology Leadership Program, Women’s Executive Leadership Program, Custom Programs.