Bio

Manoel Galdino

Assistant Professor of Political Science at the Department of Political Science, Universidade de São Paulo.

My research investigates how political institutions — from the international liberal order to local public services — can better deliver on their promises. To do this, I combine tools that rarely travel together: formal models with empirical estimation, Bayesian inference with causal identification, and practical governance experience with academic rigor.

My central project develops the first systematic measure of state adherence to the International Liberal Order, addressing a fundamental empirical gap in current debates about whether we face a genuine crisis or a structural reorganization of the international system.

I also build methodological tools when existing ones fall short — from posterior predictive checks for Bayesian process tracing to closed-form formulas for collider bias — and study how accountability mechanisms can improve public service delivery, drawing on years of experience leading Transparência Brasil.

In addition to research activities, I coordinate the CSEX Lab and serve as Tutor in PET Social Sciences.

Trajectory

Before returning to academia full-time, I spent a decade outside it — and each phase shaped how I do research today. As a data scientist in the private sector (2012–2016), I learned to work with large-scale data, write production code, and manage teams using agile methods. As executive director of Transparência Brasil (2016–2022), I designed field experiments on public service delivery and saw firsthand how accountability works — and fails — in practice. A collaboration with the Social and Affective Neuroscience Lab at Mackenzie (2021) expanded my toolkit to experimental methods in political behavior.

These experiences feed a research style that values crossing boundaries: between formal theory and empirical estimation, between methodological innovation and substantive questions, between academic rigor and real-world relevance.

Students and Collaboration

I welcome students and collaborators interested in empirical political science projects with clear identification strategies and reproducible analysis.

  1. Read the research page and identify one paper or agenda connected to your interests.
  2. Send a short email with your stage (undergraduate, MA, PhD) and a concrete research question.
  3. Include your CV and, if possible, one writing sample.