Elliot Ash, Daniel Li Chen, and Suresh Naidu speaking on "Ideas have Consequences: The Impact of Law and Economics on American Justice"

The Hoover Institution hosts a seminar series on Using Text as Data in Policy Analysis, co-organized by Steven J. Davis and Justin Grimmer. These seminars will feature applications of natural language processing, structured human readings, and machine learning methods to text as data to examine policy issues in economics, history, national security, political science, and other fields.

Our 14th session features a conversation with Elliot Ash, Daniel Li Chen, and Suresh Naidu speaking on Ideas have Consequences: The Impact of Law and Economics on American Justice on Tuesday, December 6, 2022 from 9:00AM – 10:30AM PT and the paper under discussion can be found here.

Elliot Ash is assistant professor of law, economics, and data science at the ETH Zurich Center for Law & Economics, Switzerland. Prior to joining ETH, Ash was assistant professor of economics at the University of Warwick and previously a postdoctoral research associate at Princeton University’s Center for the Study of Democratic Politics. He received a PhD in economics and a JD from Columbia University, a BA in economics, government, and philosophy from the University of Texas at Austin, and an LLM in international criminal law from the University of Amsterdam.

Daniel Li Chen is director of research at the French National Centre for Scientific Research (CNRS) and professor at the Toulouse School of Economics. He is the lead principal investigator of the Data and Evidence for Justice Reform (DE JURE) program at the World Bank. He is also a senior fellow at the Institute for Advanced Study in Toulouse and the founder of oTree Open Source Research Foundation and Data Science Justice Collaboratory. Chen was previously chair of law and economics and cofounder of the Law and Economics Center at ETH Zurich; and a tenure-track assistant professor in law (primary), economics, and public policy at Duke University. Chen uses his extensive empirical training to tackle long-standing legal questions previously difficult to analyze empirically. He has attained prominence through the development of open-source tools to study human behavior and through large-scale empirical studies—data science, artificial intelligence, and machine learning—on judicial systems and on the relationships among law, social norms and the enforcement of legal norms. He received his BA (summa cum laude, Phi Beta Kappa) and MS from Harvard University in applied mathematics and economics; completed his economics PhD from MIT; and obtained a JD from Harvard Law School.

Suresh Naidu is professor of economics and public affairs at Columbia University, external faculty at the Santa Fe Institute, and a research fellow with the National Bureau of Economic Research.

Steven J. Davis is senior fellow at the Hoover Institution and professor of economics at the University of Chicago Booth School of Business. He studies business dynamics, labor markets, and public policy. He advises the U.S. Congressional Budget Office and the Federal Reserve Bank of Atlanta, co-organizes the Asian Monetary Policy Forum and is co-creator of the Economic Policy Uncertainty Indices, the Survey of Business Uncertainty, and the Survey of Working Arrangements and Attitudes.

Justin Grimmer is a senior fellow at the Hoover Institution and a professor in the Department of Political Science at Stanford University. His current research focuses on American political institutions, elections, and developing new machine-learning methods for the study of politics.

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