Dr. Rocío Titiunik

Biography

Rocío Titiunik is a Professor in the Department of Politics at Princeton University, where she also serves as the Director of the Data-Driven Social Science Initiative. She specializes in quantitative methodology within the social and behavioral sciences, with a particular emphasis on quasi-experimental methods and causal inference for program evaluation. Her research interests lie at the intersection of political economy, political science, statistics, and data science, focusing on the development and application of quantitative methods to study political institutions. Titiunik has conducted significant methodological research, particularly in the development of statistical methods such as regression discontinuity designs. Her recent substantive research explores the themes of democratic accountability and the role of party systems in developing democracies. Titiunik has received several accolades, including the Emerging Scholar Award from the Society for Political Methodology in 2016 and was elected a fellow of the Society for Political Methodology in 2020. She has held leadership roles in professional organizations, including being an associate editor for various journals, and has served on the Advisory Committee for the Social, Behavioral, and Economic Sciences Directorate at the National Science Foundation. Rocío was born and raised in Buenos Aires, Argentina, and completed her undergraduate degree at the Universidad de Buenos Aires, later receiving her Ph.D. in Agricultural Resource Economics from UC-Berkeley in 2009. From 2010 to 2019, she was a faculty member in the Department of Political Science at the University of Michigan, affiliated with the Center for Political Studies and the Michigan Institute for Data Science.

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