GESIS is a research-based infrastructure institution for the social sciences and conducts its own continuous and interdisciplinary research in four major research areas. The results of our research serve both to gain scientific knowledge and to sustainably improve our offerings for the social sciences.
For GESIS, the quality of data takes center stage. GESIS strives to provide high-quality research data as well as methods and tools that enable users to assess for themselves how high the quality of research data is.
With our research work in the areas of Survey Methodology, Computational Methods, Research Data Management and Substantive Research, we are constantly expanding and optimizing our portfolio of services, with which we support researchers who work with quantitative data on social science issues and make their own contributions to fundamental substantive issues.
Research work at GESIS
Lietz, Haiko. 2025. "Going Breiger on White: Harrison C. White's identity in Social Network Science." Connections 45 (1): 49-58.
Lietz, Haiko. 2024. "Practical computational analytical sociology." 16th Annual Conference of the International Network of Analytical Sociology, Leipzig University, Leipzig, 2024-05-30.
Dahou, Abdelhalim Hafedh, and Brigitte Mathiak. 2025. "Automatic Categorization of Software Repository Domains with Minimal Resources." In Communications in Computer and Information Science (CCIS), Book series. doi: https://doi.org/10.1007/978-3-031-87569-4_2.
Ferrara, Antonio, Francesco Bonchi, Francesco Fabbri, Fariba Karimi, and Claudia Wagner. 2024. "Bias-aware ranking from pairwise comparisons." Data Mining and Knowledge Discovery 38 (4): 2062-2086. doi: https://doi.org/10.1007/s10618-024-01024-z.
