Olga Gasparyan

I study how political information and institutions shape what citizens see, believe, and get from government.

My research connects visual politics, the political economy of governance, and political methodology. Across these areas, I use causal inference, machine learning, deep learning, and survey methodology to examine how political attitudes are formed, how public resources are allocated, and how accountability works in practice. I received my PhD in Political Science from the University of Rochester and was a Postdoctoral Fellow at the Data Science Lab at the Hertie School.