New research project: Differential Privacy: A new approach to dealing with Social Big Data


The new research project at the Professorship of Political Data Science deals with the topic of differential privacy in the handling of personal data. This data model allows valid statistical conclusions without violating the individual privacy of users. The aim of the project is to explore the technical, economic and political difficulties of this approach. The project started on 01.01.2020.

Project participants: 

  • Prof. Dr. Simon Hegelich, Technical University of Munich, Chair of Political Data Science, Hochschule für Politk München
  • Prof. Dr. Florian Matthes, Technical University of Munich, Chair for Software Engineering of Business Information Systems
  • Prof. Dr. Uwe Baumgarten, Technical University of Munich, Chair for Networked Computing Systems

sponsored by: Bavarian Research Institute for Digital Transformation (bidt).