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Doctoral StudentAmerican Politics
Computational Legal Studies
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Daniel Katz is a Fellow in empirical Legal Studies at the University of Michigan Law School and an NSF-IGERT Fellow at the University of Michigan Center for the Study of Complex Systems. His wide variety of academic interests include positive legal theory, judicial politics, network analysis, computational social science, quantitative modeling of litigation and jurisprudence, and the impact of information technology on the market for legal services.
Dan has published articles in scholarly journals such as Cornell Journal of Law and Public Policy, Virginia Tax Review, Physica A, Proceedings of Artificial Intelligence and Law, Ohio State Law Journal, Journal of Legal Education, and the Journal of Law and Politics. His work also has been featured in print and online outlets including the New York Times, Wired Magazine Blog, U.S. News & World Report Blog, Financial Times Blog, Huffington Post, National Law Journal, and Marginal Revolution. He is also an avid blogger; his posts can be found at Computational Legal Studies.
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Ann Arbor, MI