About the organisation
FZI Forschungszentrum Informatik is an independent and non-profit research institute headquartered in Karlsruhe, Germany. Conducting innovative research not just on information technology but also on how new technologies affect democratic institutions and society, FZI aims to shape Germany’s digital transformation. Through its House of Participation, FZI is uniquely positioned to conduct research on participatory democracy in a digital age. In the TWON-Consortium, the FZI-based researchers will analyze the results from two case studies the digital twin will be applied to, and communicate findings with policymakers, stakeholders, and the general public. Together with community leaders, they will also host citizen labs, in which European citizens will be given the opportunity to weigh in on the results from TWON and shape policy proposals FZI researchers will subsequently recommend to EU lawmakers.
The team
is a research associate at the Berlin branch of FZI.
Cosima Pfannschmidt studied Economics (B.Sc.) and Sociology (M.A.) at Ludwig-Maximilians-University München, as well as Buddhist and South Asian Studies. From 2022-2024 she worked in the German Bundestag as parliamentary assistant.
As a sociologist she has a particular interest in societal polarization, the influence of online social networks on democratic debates and the role of AI in the spread of disinformation.
Ina Ni
is a researcher at the FZI Research Center for Information Technology and at KIT. Her research focuses on the application of computer-based methods to social science issues. In particular, she is interested in how information spreads through social networks and how these dynamics influence public opinion and democratic outcomes.
Walter Laurito
holds a Bachelor’s and Master’s degree in Computer Science with a focus on Machine Learning and has several years of professional experience as a software developer.
Since September 2021, he has been working as a research associate in the Information Process Engineering (IPE) research department.
His research interests primarily include AI Safety and the interpretability of Large Language Models (LLMs).
