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Jason Anastasopoulos

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Assistant Professor of Political Science, School of Public & International Affairs
Assistant Professor of Public Administration and Policy, School of Public and International Affairs
Adjunct Professor in the Department of Statistics

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.

Education:

Ph.D., University of California, Berkeley (Political Science) 2014
Awards: National Science Foundation IGERT Fellowship, Berkeley Empirical Legal Studies Fellowship. M.A., University of California, Berkeley (Political Science) 2010

M.A., Harvard University (Statistics) 2005

B.S., Cornell University (Industrial and Labor Relations) 2003

Of note:

LATEST RESEARCH

“Behavioral artificial intelligence and administrative decision-making.” Jason Anastasopoulos. Working paper.

“Rawls in the Machine: Algorithmic Bias Under the Veil of Ignorance.” Jason Anastasopoulos. Working paper.

“Ethical Issues in Decision-making and Governing with Artificial Intelligence.” Jason Anastasopoulos and Andrew Whitford. Working paper.

“Why you shouldn’t use deep learning (unless you really have to).” Jason Anastasopoulos. Working paper.

“Principled estimation of regression discontinuity designs.” Jason Anastasopoulos. Working paper.

“Racial Justice, Representation and Algorithmic Bias.” Jason Anastasopoulos, Micah Gell-Redman and Andrew B. Whitford. Working paper.

Personal Website:

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