Teaching

We use active learning methods to support students in developing practical skills that enable them to conceptualize, operationalize, and measure the digital transformation of society and politics.

We follow the research-based learning approach. Students are familiarized with various innovative concepts and methods at an early stage and instructed to apply them in self-developed research projects.

Our teaching is strongly interdisciplinary. In our courses, students and teachers of political science, computer science, and economics meet and learn together and from each other.

Studying at the Chair of Political Science, especially Digital Transformation prepares you to conceptualize, measure, explain, and shape digital change in both academic and professional contexts.

We train students to independently investigate questions about society's handling of the digital transformation. This includes questions about the successful management of digital change, changes in social structures, risk perception among the population, or the effect of information and persuasion campaigns.

In teaching, we concentrate mainly on examples from the fields of

Artificial Intelligence (AI);
Computational Social Science (CSS);
Platforms;
Political communication;
Public arena.

Our courses emphasize guidance for independent theory-driven, empirical research. This includes instructions for theory-driven empirical work, for example in the use of advanced computer-aided, data-intensive methods but also in the form of surveys, experiments, or text analyses.

The background knowledge for our courses is introduced in the lecture Digital Media in Politics and Society. The lecture is offered regularly in the winter semester in a flipped classroom design. Students can also work on the content discussed here asynchronously via the course website or the podcast accompanying the event.

You can attend our courses in the BA and MA courses of Bamberg Political Science. We are particularly involved in the Bachelor Computational Economics and Politics (CEP) and the Master of Arts in Political Science with a focus on Computational Social Sciences (CSS).

For the use of ChatGPT and comparable applications in studies and the preparation of written assignments:

Using ChatGPT and Other Large Language Model (LLM) Applications for Academic Paper Assignments.

Detailed information on the individual events can be found in UnivIS.

Event documents can be found in the Virtual Campus.

Theses

We supervise bachelor and mast theses and offer a seminar for theses. Please register your interest in this seminar at the beginning of the semester in the secretariat of the chair.