Nathanael Gratias Sumaktoyo

Nathanael Gratias Sumaktoyo is an Assistant Professor of Political Science at the National University of Singapore (NUS), specializing in political behavior, identity politics, and intergroup relations. He holds a Ph.D. in Political Science from the University of Notre Dame (2018), an M.S. in Computational Statistics, and an M.A. in Social Psychology. His research bridges political science, psychology, and sociology, focusing on how religious and political identities influence democratic attitudes and behavior, particularly in Southeast Asia and Muslim-majority societies. He has conducted postdoctoral research at the University of Konstanz and Notre Dame.

Education:

• Ph.D. in Political Science, University of Notre Dame (2018)
• M.S. in Computational Statistics
• M.A. in Social Psychology

Research Interests: Political behavior, identity politics, intergroup relations, surveys, causal inference, and applied quantitative methods. His work emphasizes the intersection of religion, ethnicity, and democracy, with a focus on Indonesia and Muslim communities globally.

Teaching: Courses include Comparative Political Behavior, Identity Politics, and Data Analytics in Political Science, reflecting his expertise in both theoretical and methodological domains.

Recent Research Trends: His publications (e.g., on mosques’ political influence, voter trade-offs in Muslim democracies, and Indonesia’s 2024 election dynamics) highlight a thematic focus on how institutional, social, and psychological factors shape political attitudes. Methodologically, he employs experimental designs and large-scale survey data.

Grants and Advising: While specifics are not detailed, his extensive publication record suggests active engagement in grant-funded research. He advises students through his teaching roles at NUS, though no explicit student names are listed.

Labs/Teams: No dedicated lab is mentioned, but his collaborative work (e.g., with the Politics of Inequality Project and Konstanz) indicates participation in interdisciplinary research networks.