About

Daniel L. Chen is the Emma and Carroll Roush National Fellow at the Hoover Institution, Stanford University, and a director of research at the Centre National de la Recherche Scientifique (CNRS) attached to the Toulouse School of Economics, where he cochairs the Moral AI initiative. An economist, lawyer, and computer scientist, Dr. Chen uses field experiments, judicial texts, and large language models to study how legal and economic institutions shape human behavior, and how artificial intelligence can make courts more efficient and just.

He has published more than one hundred articles in outlets such as The Quarterly Journal of Economics, Journal of Political Economy, Econometrica, Science Advances, Nature Human Behavior, and Proceedings of the National Academy of Sciences (PNAS), and his research has been cited in court opinions and National Academy of Science study reports, and featured in The Economist, The Wall Street Journal, and The New York Times. Chen directs Analytical Metrics for Informed Courtroom Understanding and Strategy, an international consortium evaluating AI tools and justice reform across seventeen countries.

Prior to joining CNRS, Chen held faculty appointments at Duke University School of Law and ETH Zürich. He founded oTree, an open-source experiment platform, and was the Evelyn Green Davis Fellow at the Radcliffe Institute for Advanced Study at Harvard in 2024–25. He has delivered lectures to judiciaries and government officials of Pakistan, India, Peru, Colombia, Chile, Brazil, Kenya, South Korea, France, Estonia, and the European Union. 

Chen earned his AB in applied mathematics and economics from Harvard College, a JD from Harvard Law School, and a PhD in economics from the Massachusetts Institute of Technology.

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