Assistant Professor of Political ScienceAssistant Professor of Public Administration and PolicyAdjunct Professor of StatisticsFaculty Affiliate, Institute of Artificial Intelligence

Curriculum Vitae

Professional Website

Dr. Anastasopoulos is an Assistant Professor in the Department of Political Science and the Department of Public Administration and Policy. He is also Adjunct Professor in the Department of Statistics and a faculty affiliate at the Institute for Artificial Intelligence. His research and teaching focuses on the political economy of technology, behavioral public administration and statistical methodology with a focus on causal inference and machine learning.

His work has been published at the  American Political Science Review, Political Analysis, the Public Administration Review, the Journal of Public Administration Research and Theory, Electoral Studies and  American Politics Research.

He has received several awards and grants for his solo authored and co-authored work including: the John L. Knight Foundation Freedom of the Press Award, the Institute for Humane Studies Hayek Fund Scholarship, the APSA Paul A. Volcker Junior Scholar Research Grant, a Facebook Integrity Research Grant and a Peter G. Peterson Foundation U.S. 2050 Grant.

Dr. Anastasopoulos has held visiting appointments at Princeton, Emory, UC Berkeley and Harvard.

Selected Publications
  1. Jason Anastasopoulos and Anthony Bertelli. “Understanding Delegation Through Machine Learning: A Method and Application to the European Union.” Accepted for publication. American Political Science Review.
  1. Reagan Mozer, Luke Miratrix, Aaron Kaufmann and Jason Anastasopoulos. “Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality.” Forthcoming. Political Analysis.
  1. Jason Anastasopoulos and Andrew B. Whitford.Machine Learning for Public Administration Research,with Application to Organizational Reputation.” Journal of Public Administration Research and Theory.