Asya Magazinnik

Professor of Social Data Science, Hertie School

Welcome! I am the Professor of Social Data Science at the Hertie School in Berlin, where I am affiliated with the Data Science Lab and teach in the Master of Data Science for Public Policy and the Master of Public Policy.

I work at the intersection of causal inference, quantitative methods, and game theory to advance the understanding of political representation and public goods provision in democratic societies. My work has recently appeared in the American Journal of Political Science, the Journal of Politics, Political Science Research and Methods, and other outlets. My research has received awards from APSA’s “American Political Economy” and “Representation and Electoral Systems” sections, and has been funded by Arnold Ventures, CIVICA, the Russell Sage Foundation, and the National Science Foundation.

Before joining the Hertie School, I was an Assistant Professor of Political Science at MIT. I hold a Ph.D. in Politics from Princeton University and an M.P.P. from the University of Chicago Harris School.

Updates

September 2026 New working paper with Michael Hankinson and Joseph Loffredo: “Assessing District Elections as a Remedy in State Voting Rights Acts”
August 2026 “Aggregation, Interpretation, and Estimation of Preferences in Conjoint Experiments” (with Scott F Abramson, Korhan Kocak, and Anton Strezhnev) is conditionally accepted at PSRM.
July 2026 I gave the keynote at the Summer School for Women in Political Methodology at the University of Mannheim.
July 2026 “Reform Drift: How Incumbent Protection Undermines Descriptive Representation in Local Government” (with Joseph Loffredo and Michael Hankinson) is conditionally accepted at AJPS.
May 2026 I hosted the 2026 Visions in Methodology Conference at the Hertie School.
May 2026 I gave a keynote on the measurement of political preferences at PolMeth Europe in Dublin.
April 2026 “An Agency Perspective on Immigration Federalism” is forthcoming at the JOP.