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
Otto, Wolfgang, Lu Gan, Sharmila Upadhyaya, Saurav Karmakar, and Stefan Dietze. 2026 (Forthcoming). "GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning." In Proceedings of the 40th AAAI Conference on Artificial Intelligance (AAAI-26), Proceedings of the Conference on Artificial Intelligance (AAAI). Washington DC: AAAI Press.
Rau, Jan, Philipp Kessling, Gregor Wiedemann, and Felix Victor Münch. 2025. "Art. 40 DSA and research data access in the German federal election: a mixed experience at best." Forschungsinstitut Gesellschaftlicher Zusammenhalt/Research Institute Social Cohesion (FGZ/RISC) Blog, 2025-05-21. https://fgzrisc.hypotheses.org/6040.
Münch, Felix Victor, and Philipp Kessling. 2025. "Tik-Talk-Tok: Measuring Content Diffusion Within and Between Political Television Talk Shows and Public Speakers’ TikTok Channels During the German Federal Election 2025." AoIR Association of Internet Researchers Conference 2025, Fluminense Federal University, Niterói, 2025-10-18.
Börgmann, Hanna, Dominik Hammer, Jan Beyer, Jonas Ziock, Fiete Stegers, Philipp Kessling, and Felix Victor Münch. 2025. "Destruktive Diskurse: Digitale Verbreitung von klimabezogener Mis- und Desinformation: Eine Multiplattformerhebung im Projekt NOTORIOUS." Institute for Strategic Dialogue Germany. https://reposit.haw-hamburg.de/handle/20.500.12738/17802.
Münch, Felix Victor, Fakhri Momeni, Muhammad Taimoor Khan, and Chung-hong Chan. 2025. "Interactive Workshop: The Methods Hub." DGPuK Fachgruppentagung Methoden, Ostfalia Hochschule für angewandte Wissenschaften, Salzgitter, 2025-09-18.
Otto, Wolfgang, Lu Gan, Sharmila Upadhyaya, Saurav Karmakar, and Stefan Dietze. 2026 (Forthcoming). "GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning." In Proceedings of the 40th AAAI Conference on Artificial Intelligance (AAAI-26), Proceedings of the Conference on Artificial Intelligance (AAAI). Washington DC: AAAI Press.
Ell, Theresia, and Lydia Repke. 2025. "Verbindungen, die fehlen: Wie Veränderungen unserer sozialen Netzwerke in der Pandemie zu Einsamkeit beigetragen haben – LoneCovid 3." GESIS Blog. doi: https://doi.org/10.34879/gesisblog.2025.108.
Rau, Jan, Philipp Kessling, Gregor Wiedemann, and Felix Victor Münch. 2025. "Art. 40 DSA and research data access in the German federal election: a mixed experience at best." Forschungsinstitut Gesellschaftlicher Zusammenhalt/Research Institute Social Cohesion (FGZ/RISC) Blog, 2025-05-21. https://fgzrisc.hypotheses.org/6040.
Münch, Felix Victor, and Philipp Kessling. 2025. "Tik-Talk-Tok: Measuring Content Diffusion Within and Between Political Television Talk Shows and Public Speakers’ TikTok Channels During the German Federal Election 2025." AoIR Association of Internet Researchers Conference 2025, Fluminense Federal University, Niterói, 2025-10-18.
