| Course name | Credits | Details | Term |
|---|---|---|---|
| Research Design Tutorial | 3 ECTS | Fall term | |
| Cross Sectional Data Analysis (Tutorial) | 3 ECTS | Fall term | |
| Longitudinal Data Analysis (Lecture) | 6 ECTS | Spring term | |
| Longitudinal Data Analysis (Tutorial) | 3 ECTS | Spring term |
Career
Danielle Martin is a Scientific Collaborator at the School of Social Sciences at the University of Mannheim, and teaches courses in applied statistics in Master's programs for the Chair of Methodological Sociology and the Chair of Social Data Science and Methodology.
After obtaining a Master Degree in Statistics from the University of Geneva, she worked as a statistician on a project on electoral fraud detection in Switzerland. She then completed her Ph.D. in Political Science at the University of Michigan (majors in methods, and comparative politics), and did her postdoc at the European Institute, at the London School of Economics and Political Science.
Publications
- Martin, D. and Nai, A. (2024). Deepening the rift: Negative campaigning fosters affective polarization in multiparty elections. Electoral Studies, 87, 1–10.
- Martin, D. (2022). Risk attitudes and the propensity to vote for a new party in multi-party systems. Acta Politica : AP, 57, 1–20.
- Martin, D. (2021). Risk aversion and strategic voting. International Journal of Public Opinion Research, 33, 532–550.
- Martin, D., Banducci, S., Stevens, D. and Coan, T. (2021). Projection effects and the role of political ambiguity. International Journal of Public Opinion Research, 33, 354–376.
- Martin, D. and Hug, S. (2020). Constituency preferences and MP preferences: The electoral connection. Party Politics, 26, 619–627.
- Martin, D. (2019). Party ambiguity and individual preferences. Electoral Studies, 57, 19–30.
- Hug, S. and Martin, D. (2012). How electoral systems affect MPs' positions. Electoral Studies, 31, 192–200.
Research Interests
- Statistical Methods
- Political behavior
- Political communication
- Institutions and representation
- Decision processes under uncertainty
- Ambiguity, Citizens’ preferences and behavior
- Spatial models of voting