معرفی
Frederik Thieme is a PhD candidate and Research Fellow at the Department of Comparative Political Behavior, Humboldt University of Berlin. His work bridges quantitative research, causal inference, and experimental methods, focusing on economic inequality, climate politics, and green voter attitudes. He contributes to projects like the DYNAMICS Research Training Group and the ALARM Project, emphasizing transparent election data and redistricting analysis.
- PhD in Political Science, Harvard University (2021)
- M.A. in Social Sciences, Humboldt-Universität zu Berlin
- B.A. in Journalism, Communication Studies, and Political Science, Freie Universität Berlin
Thieme's research explores how events and inequalities shape political behavior, with methodological innovations in survey calibration, redistricting simulations, and ballot-level data analysis. His work addresses privacy trade-offs in census data, partisan gerrymandering effects, and voter accountability mechanisms.
His recent articles analyze ticket splitting, local electoral partisanship, and valence-driven party dominance. Notable awards include the 2025 Poorvu Award for Innovative Teaching at Yale and an EPOVB best paper honorable mention (2024). Thieme teaches courses on American politics, quantitative research design, and congressional dynamics, with datasets like the 2020 Cast Vote Records and Cumulative CCES Common Content.
- Key Awards:
- Poorvu Award for Innovative Teaching (2025)
- EPOVB Best Paper Honorable Mention (2024)
- Grants & Collaborations:
- Cooperative Election Study
- Algorithm-Assisted Redistricting Methodology (ALARM) Project
