Teaching

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Empirical Social Sciences: Asking and answering questions with data

Graduate course, University of Bremen, 2023

The course aims to prepare students for writing their bachelor’s thesis. Upon successful completion of the course, students will be able to select and narrow a research topic, to formulate a research question, to do a literature review, to locate descriptive data appropriate to their research question as well as they will learn how to visualize this data using R software. Students will be prepared to design and independently carry out their own research project. The focus is on teaching the ability to independently use data from various sources as a basis for argumentation to answer social science questions. This will prepare students for writing their thesis, as well as for a future career in which data analysis plays an increasingly important role. At the end of the course, students will design their own research project, and present it to their peers.

Artificial Intelligence, Big Data and Political Regimes

Undergraduate course, Vilnius University, 2022

Lecturer Summer Academy of the Studienstiftung des deutschen Volkes in Vilnius: ”Artificial Intelligence, Big Data and Political Regimes. Towards a New Systemic Competition?”

Political Economy of Innovation

Undergraduate course, University of Bremen, 2022

Co-tought a course together with Michael Rochlitz on the political economy of innovation. We first introduced general concepts and later focused on the case of AI.