Associate Professor of Public Administration and Statistics (by courtesy)
Faculty Affiliate, Institute of Artificial Intelligence
Faculty Fellow, Center for International Trade and Security

Curriculum Vitae

Professional Website

Dr. Anastasopoulos is an Associate Professor of Public Administration and Policy, an Adjunct Assistant Professor of Statistics, a Faculty Fellow at the Center for International Trade and Security (CITS), and a faculty affiliate at the Institute for Artificial Intelligence.

He studies the political economy of technology, public administration, and international political economy. He also works on political methodology, focusing on causal inference and deep learning. He teaches classes on international politics & technology, public administration, statistical methodology, natural language processing, and machine learning.

Dr. Anastasopoulos’ work has been published in Governance, 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.

 

Education
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PhD, University of California-Berkeley, Political Science
MA, Harvard University, Statistics
BS, Cornell University, Industrial and Labor Relations

Areas of Expertise
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  • Political Economy of Technology
  • Machine Learning and Causal Inference
Honors, Awards, and Achievements
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  • John L. Knight Foundation Freedom of the Press Award
  • Institute for Humane Studies Hayek Fund Scholarship
  • APSA Paul A. Volcker Junior Scholar Research Grant
  • Facebook Integrity Research Grant
  • Peter G. Peterson Foundation U.S. 2050 Grant
Affiliations
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Dr. Anastasopoulos has held visiting appointments at Princeton, Emory, UC Berkeley, and Harvard.

Selected Publications
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Anastasopoulos, L. J., Badani, D., Ginosar, S., & Williams, J. R. (2024). “Visible home style”. Electoral Studies, 90, 102794
Anastasopoulos, L. J., & Whitford, A. B. (2019). “Machine learning for public administration research, with application to organizational reputation”. Journal of Public Administration Research and Theory, 29(3), 491-510.
Anastasopoulos, L. J., & Bertelli, A. M. (2020). “Understanding delegation through machine learning: A method and application to the European Union”. American Political Science Review, 114(1), 291-301.

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