Rocío Titiunik is Professor of Politics at Princeton University, where she is also the Director of the Data-Driven Social Science Initiative and an associated faculty with the School of Public and International Affairs, the Department of Operations Research and Financial Engineering, the Center for Statistics and Machine Learning, the Program in Latin American Studies, the Center for the Study of Democratic Politics, and the Research Program in Political Economy. She specializes in quantitative methodology for the social and behavioral sciences, with emphasis on quasi-experimental methods for causal inference and program evaluation. Her research interests lie at the intersection of political economy, political science, statistics, and data science, particularly on the development and application of quantitative methods to the study of political institutions. Her recent methodological research includes the development of statistical methods for regression discontinuity (RD) designs. Her recent substantive research centers on democratic accountability and the role of party systems in developing democracies.
Rocío was born and raised in Buenos Aires, Argentina, where she completed her undergraduate education at the Universidad de Buenos Aires. She received her Ph.D. in Agricultural and Resource Economics from UC-Berkeley in May 2009. Between 2010 and 2019, she was a faculty member in the Department of Political Science at the University of Michigan, where she was also affiliated with the Center for Political Studies and the Michigan Institute for Data Science.
Rocío Titiunik is Professor of Politics at Princeton University, where she is also the Director of the Data-Driven Social Science Initiative and an associated faculty with the School of Public and International Affairs, the Department of Operations Research and Financial Engineering, the Center for Statistics and Machine Learning, the Program in Latin American Studies, the Center for the Study of Democratic Politics, and the Research Program in Political Economy. She specializes in quantitative methodology for the social and behavioral sciences, with emphasis on quasi-experimental methods for causal inference and program evaluation. Her research interests lie at the intersection of political…