Teaching & Supervision
Teaching
Summer 2026: I am co-teaching the Fairness, Accountability and Transparency in ML course, the Critical Data Science seminar, and the NLP for Social Good programming project with colleagues from our research group. All three are elective courses for CS students.
Winter 2026: I will co-teach the course Informatics and Society also with colleagues from our research group–as in previous years. This course is mandatory for Bachelor students in Computer Science/Business Informatics at TU Berlin.
In previous semesters, I have (co-)taught the following courses:
- NLP for Social Good programming project course (Bachelors) at TU Berlin, summer 2025
- Problems of Technology for Society: guest lecture at Göttingen University (for Bachelors of Data Science), 2023
- “AI for the Public Interest”: guest lecture at Erfurt University (for the course “Künstliche Intelligenz als Herausforderung der Demokratie”), 2023
- AI in Society and Economics course at the Digital Business University Berlin (part of the Master of Data Science program), 2022
- Inter- and Intra- Organizational Decision Making: course manager & main instructor (masters level), TU Delft, 2016-2020
- MEAC Summer School on Internet Governance: held in Cairo, 2018, and Rabat, 2019.
- Preparation for Master Thesis: digital economy theme, TU Delft, 2019-2020
- Grand Research Challenges: privacy governance/engineering theme, TU Delft, 2017-2018
In the distant past, I was a trainer for industry networking and development courses.
Master Theses Supervision
I am open to supervising master students at TU Berlin who are interested in working on topics close to my current interests and published research. If that is you, reach out to me, and don’t forget to mention the research interest or paper that got you interested (plus your own ideas).
Between 2016 and 2020, I supervised the following technology policy master thesis projects (as first supervisor) at TU Delft:
Last Update: May 2026.