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.
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 focus of the department DAS is providing excellent data service for national and international comparative surveys from the fields of social and political science Research.
The department DBG supports social research by providing various resources suitable to describe and analyze social Change.
The department SDM deals in research and service with methods of social science survey research.
The department WTS 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.
It is the objective of the department Knowledge Transfer to transmit scientific knowledge and methods to the scientific community and practice as well as to bundle, optimize, and maintain the different transfer channels.