Asya Magazinnik

Asya Magazinnik is a Professor of Social Data Science at the Hertie School in Berlin, affiliated with the Data Science Lab and teaching in the Master of Public Policy program. Her work bridges federalism, democratic representation, and causal inference methodologies.

• Ph.D., Department of Politics, Princeton University (2020)
• M.P.P., Harris School of Public Policy, University of Chicago

Her research focuses on subnational governments as sites of national political contestation, examining:

• Strategic interactions between local/national governments
• Preference aggregation in local elections
• Representation of disadvantaged groups
• Polarization dynamics and immigration federalism
• Race and policing, political preference measurement

The articles reflect methodological innovation in conjoint experiments and causal inference, applied to topics like:

• Housing policy feedback mechanisms
• Geospatial data accuracy in urban planning
• Districting impacts on minority representation
• Policy diffusion across government levels

She previously held an Assistant Professor position at MIT, connecting academic institutions across theoretical and applied domains.