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.
The department DRS supports social research by providing various resources suitable to describe and analyze social Change.
The department provides sustainable infrastructures and services for data management, curation and long-term preservation.
The department processes and prepares social science research data for comparative perspective over space and time.
The department SDM deals in research and service with methods of social science survey research.
The department KTS focuses on advancing and improving digital services for the Social Sciences on the basis of novel knowledge technologies to ensure a high quality of GESIS Services.
Internal service provider in the areas of data processing and communication technology for all GESIS departments.
Infrastructure and support in all legal, financial, business, and personnel aspects.
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.