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
Bleier, Arnim, and Felix Victor Münch. 2025. "Demo of the GESIS Methods Hub." 2025 NFDI4DS Conference, Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS, Berlin, 2025-11-25.
Münch, Felix Victor. 2025. "Tik-Talk-Tok - Messung von Resonanzen zwischen politischen Fernseh-Talkshows und TikTok-Kanälen öffentlicher Sprecher während der Bundestagswahl 2025." Informationsräume im Umbruch: Desinformation, politische Influencer und mediale Strategien in Krisenzeiten, Zentrum Informationsarbeit Bundeswehr, Berlin, 2025-11-27.
Twyman, Marlon, Sarah Rajtmajer, Vivek Kumar Singh, Fred Morstatter, Haiming Liu, Jun Sun, Katherine Ognyanova, and Matthew S. Weber, ed. 2025. Websci '25: Proceedings of the 17th ACM Web Science Conference 2025. New York: Association for Computing Machinery. doi: https://doi.org/10.1145/3717867.
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 Intelligence (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.
Dräger, Jascha, Nora Müller, and Klaus Pforr. 2025. "The Keys to the House: How Wealth Transfers Stratify Homeownership Opportunities." Social Science Research 129 (July 2025): 103190. doi: https://doi.org/10.1016/j.ssresearch.2025.103190.
Lipinsky, Anke. 2025. "Geschlechtsbezogene Gewalt in der Wissenschaft." Bundesarbeitsgemeinschaft Wissenschaft, Hochschule und Technologiepolitik (Bündnis90/Die Grünen)
, 2025-03-08.
Wiltshire, Deborah, James Scott, Simon Parker, Emily Griffiths, Carlotta Greci, Yannis Kotrotsios, Richard Welpton, Arne Wolters, Christine Woods, Olly Butters, John Sanderson, and Amy Tilbrook. 2024. Handbook on Statistical Disclosure Control for Outputs. The Safe Data Access Professionals Working Group. https://securedatagroup.org/wp-content/uploads/2025/03/sdc-handbook-v2.0.pdf.
Schneider, Silke L.. 2025. "Die Messung von Bildung bei Befragungen von Migrant*innen." Kolloquium des Forschungszentrums des Bundesamts für Migration und Flüchtlinge (BAMF), Forschungsabteilung des BAMF, 2025-02-24.
