Research
Research interests
My research revolves around understanding the dynamics of political communication and politics in agricultural and rural contexts as well as sustainability policy.
I am particularly interested in how media influences political discourse and decision-making.
My current work focuses on the use of NLP and local LLMs to analyze political communication in the agricultural sector. Besides framing of certain agricultural topics, I elaborate narratives of sustainability.
Another central theme of my work is voting behaviour, especially the influence of climate policy on voting behavior in Germany.
Using discrete choice models, I investigate how climate policy measures shape voters' preferences and what trade-offs arise.
Moreover, I analyse electoral outcomes and turnouts in rural areas.
Additionally, network analytical lobbying research is part of my research.
Methodological experience
I employ a variety of computational and quantitative methods to analyze political processes and communication:
- AI based and automated content analysis
- Discrete choice modeling
- Social network analysis
- R, Python, Stata
Further areas of interest
In addition to my core research areas, I am also engaged in exploring how science communication can be improved through digital tools and open source software. This includes the application of computational social science methods to enhance research and teaching.
- Science communication
- Computational social science
- Digital tools & open source software in research and teaching
Projects
I am involved in several research projects that aim to understand and improve political and policy processes. These projects often involve collaboration with international partners and focus on real-world policy challenges.
- Food Systems Transformation as a Multi-stakeholder Process (Indonesia, Uganda)
- BioPoP (Project website)
- AniFair (Project website)