USP

Concepts, Methods and Techniques in
Political Science, Public Policy
and International Relations

Summer School
Local Organizing
Committee

The Committee takes care of the local logistical planning, recruitment of faculty and students, design of tracks and courses, and day-to-day coordination of the Summer School.

Glauco Peres da Silva,
University of São Paulo

Glauco Peres da Silva is a professor in the Department of Political Science at the University of São Paulo. His primary fields of interest are electoral politics and the political economy of Executive -Legislative relations. His current research aims to understand the incentives on Congressmen behavior created by electoral legislation. He has served as an instructor in the IPSA-USP Summer School since 2012, where he has taught the refresher courses in mathematics, statistical inference, and multiple regression. In the 2023 Summer School, he will serve as the Chair of the Organizing Committee.

Lorena Barberia,
University of São Paulo

Lorena G. Barberia is an Associate Professor in the Department of Political Science at the University of São Paulo. Her primary fields of interest are comparative political economy, Latin American politics and political methodology. Her work is aimed at analysing redistributive politics in Latin America. At USP, Professor Barberia teaches quantitative methods for undergraduate and graduate courses in the Department of Political Science. She has served as a member of the IPSA-USP Summer School Faculty Coordinating Committee since 2011 and Chair between 2015 and 2021.

Jonathan Philips,
University of São Paulo

Jonathan Phillips joined the Department of Political Science at the University of São Paulo in 2018. His research focuses on comparative political economy; on how elites choose strategies to govern, bureaucratic politics and innovative processes of accountability. He has fieldwork experience in Nigeria, India and Brazil. Jonathan has taught courses at USP on Causal Inference, Comparative Politics and on Programming and Data Analysis.