Computational Social Science (CSS)

The department CSS develops algorithms and novel, non-obtrusive methods for the social sciences based on state-of-the-art approaches from the domains of machine learning, data mining and network analysis.

Survey Data Curation (SDC)

The department processes and prepares social science research data for comparative perspective over space and time.


Infrastructure and support in all legal, financial, business, and personnel aspects.

Knowledge Exchange and Outreach (KEO)

It is the objective of the department to transmit scientific knowledge and methods to the scientific community and practice as well as to bundle, optimize, and maintain the different transfer channels.