Prof. Dr. Jens Lowitzsch

Mittwoch 13:00 bis 14:00 Uhr mit Voranmeldung,
sonst nach Vereinbarung

Rechts- und Sozialpolitik, insb. Arbeitnehmerbeteiligung und Verteilungsgerechtigkeit; Rechtspolitische Dimension der Erneuerung des deutschen und Europäischen Sozialstaats
Privatisierung und Transformation, insb. Privatisierungsinstitutionen, Unternehmens-Restrukturierung und Re-Privatisierung
Einführung in das Wirtschaftsrecht Ostmitteleuropas, insb. Gesellschafts-, Arbeits-, Insolvenzrecht, Privatisierungs- und Investitionsrecht
Rechtsgestaltung, insb. Gesellschaftsverträge, Rechtsetzungsverfahren und Privatisierungsverträge

CV (EN)

Wintersemester 2025/2026

Energy Transitions
MES: WPM 6: Wirtschaftspolitik in Europa, Zentralbereich Wirtschaft
5/6/9 ECTS

06.11.2025 - 07.11.2025 12:00 - 18:00 s.t. 

20.11.2025 - 21.11.2025 12:00 - 18:00 s.t. 

12.12.2025 12:00 - 18:00 s.t.

Background
As Europe shifts toward decarbonization and decentralized energy systems, understanding who participates, who benefits, and who is left out becomes a key challenge and the success of corresponding strategies hinges not only on technological advancement and regulatory reform but also on social acceptance, behavioral change, and inclusive ownership models. Quantitative research provides a powerful lens to uncover inequalities, behavioral patterns, and the real-world effects of renewable energy policy.
Using the FinSESCo dataset, which offers rare access to behavioral, motivational, and socioeconomic data from over 2,500 households in Germany, students learn basic data analysis and econometric methods using R and try to answer pressing questions: How does renewable energy (co-)ownership influence individual behavior? How do socioeconomic factors and housing situations limit participation? What governance models help reduce inequality in the distribution of clean energy benefits?

• Introduce students to the FinSESCo database and its applications in empirical energy transition research.
• Provide basic training in R programming and data handling.
• Familiarize students with key econometric techniques (e.g., descriptive statistics, ANOVA, linear regression).
• Encourage students to develop their own research questions and conduct exploratory data analysis.
• Foster interdisciplinary thinking about social, economic, and behavioral aspects of the energy transition.

If you want to participate in the course please write an email containing the full name of the course, your study program and matriculation number to kelso-professorship@europa-uni.de to register. Places in the seminar are distributed on a first come first serve basis.

No prior experience in R or statistics is needed — the course provides a guided entry point into data analysis for energy and climate research.

You can find further information on Moodle.