Key research themes
1. How do quantitative methodologies operationalize complex political phenomena and improve measurement validity in Political Science?
This research theme explores how quantitative methods provide rigorous frameworks and tools to conceptualize, measure, and analyze multifaceted political concepts such as democracy, partisanship, territorial beliefs, and crisis events. The focus is on overcoming longstanding measurement challenges through multidimensional indices, advanced modeling approaches, and novel data structures, thereby enabling more accurate and insightful empirical assessments in Political Science.
2. How can quantitative methods address the challenges of political behavior measurement and causal inference in complex contexts?
This theme focuses on the use of quantitative experimental designs, counterfactual analyses, and advanced survey methodologies to mitigate common pitfalls like social desirability bias, confounding factors, and measurement error in political behavior research. It emphasizes methodological innovations that enable stronger causal identification and robust inference about attitudes, voting behavior, and conflict-related preferences, especially under conditions of sensitive or complex phenomena.
3. How do quantitative approaches reveal the dynamics of distributive politics and political violence through fine-grained data modeling?
This theme investigates how detailed quantitative data and modeling techniques can uncover patterns and causal mechanisms in policy distribution and conflict dynamics. It includes analyses of partisan influence on federal grant allocation and the impact of atypical violent events on conflict escalation, leveraging event data, fixed-effects models, signal processing tools, and structural change detection to move beyond aggregate descriptions toward understanding underlying political processes.