Bruno Castanho Silva

Bruno Castanho Silva is an Assistant Professor for Methods in Empirical Social Research at the Free University of Berlin and a member of the Executive Board of the Methods Excellence Initiative (MethodsNET). He previously worked at the Cologne Center for Comparative Politics and holds a PhD in Political Science from the Central European University.

• Institution: Free University of Berlin
• School: Faculty of Social Sciences
• Department: Department of Political and Social Sciences
• Academic Rank: Assistant Professor
• Email: b.paula.castanho.e.silva@fu-berlin.de
• Website: bcastanho.github.io
• Professional Affiliation: Executive Board Member, MethodsNET

His primary research interests lie in quantitative methodologies, including causal inference, machine learning, and structural equation modeling. Substantively, he investigates political representation of underrepresented groups, comparative populism, and the impact of social media on political discourse. He leads the Text Analysis component in Team Populism, highlighting his engagement with computational approaches to political texts.

Bruno is actively involved in the academic community, participating in major conferences such as IPSA and EPSA, and contributing to discussions on research practices, funding, and methodological rigor. He is a proponent of open science and critical evaluation in political science research.

Scientific Awards:

• No awards mentioned in the provided text.

Bruno Castanho Silva advises students and early-career researchers in empirical methods and political science, though specific names of advisees are not listed. He is involved in collaborative research projects and contributes to academic workshops and training initiatives, such as those offered by MethodsNET and the Essex Summer School. There is no mention of specific grants or funding awards in the provided material.

He is affiliated with research teams such as Team Populism and collaborates with scholars across Europe. His methodological expertise positions him at the intersection of data science and political inquiry, fostering interdisciplinary research and innovation in social science methods.