Auishee Jotirmoyee Biswas is a Master's student in Sustainable Resource Management at TUM, researching how young citizens' experiences with algorithmically mediated platforms shape their expectations of human oversight in public sector decision-making. For her master's thesis, she conducts semi-structured interviews with TUM students, combined with scenario-based vignettes, to examine how prior experience with commercial platforms informs the standards young people apply when judging whether human involvement in automated government decisions is genuine rather than merely symbolic. Her research contributes to the broader debate on what "human-in-the-loop" oversight must entail in practice, not just in procedural design but in the eyes of those it is meant to protect. 

Those with shared interests in AI governance and the future of algorithmic public administration are welcome to connect with her via LinkedIn: www.linkedin.com/in/auishee-jotirmoyee-03bba0167

Fiona Mayer is a Master’s student in Politics & Technology at the Technical University of Munich, exploring digital transformation processes within the public sector. Her master's thesis uses expert interviews to investigate how the use of Generative AI reconfigures the role of public servants in Bavarian ministries, focusing on the concept of accountability. Her research highlights how individuals navigate the tension between a classical institutional setting and the black-box logic of AI. By bridging political science, psychology, and technology, her work underscores the vital role of individual actors in driving systemic change.

If you are one of those actors and want to take part in the study or if you’re generally interested to connect, feel free to reach out via LinkedIn: https://www.linkedin.com/in/fiona-mayer-588a86233/

Sophia Willmann is a Master's student in Politics & Technology at the Technical University of Munich (TUM), investigating Europe's commercialization gap in AI-driven protein design. For her master's thesis, she uses exploratory interviews with founders, investors, and regulatory actors to examine why European Protein Language Model (PLM) ventures attract significantly less venture capital.

If you work in AI in biology, venture capital, or European biotech policy  (or know someone who does) I would love to connect.

sophia.willmann@tum.de

https://www.linkedin.com/in/sophia-w-95376b1b7

Steffen studies Politics and Technology at TUM. His master's thesis examines Cyber Intrusion Capabilities (CICs)—tools that secretly infiltrate devices and networks for surveillance—focusing on the commercial market where these capabilities are sold. He develops a framework to assess the accountability capacity of governments employing covert surveillance operations with these CICs in Germany, the Netherlands, and the UK, using the Pall Mall Process (a soft-law code of practice for states) as a benchmark. His research highlights how the technical complexity and opacity of these tools and markets create challenges for accountability and what mechanisms can help address them.