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
Choucair, Tariq, Kateryna Kasianenko, Felix Victor Münch, Ehsan Dehghan, Axel Bruns, Vish Padinjaredath Suresh, Sebastian Svegaard, and Samantha Vilkins. 2025. "Dynamic Practice Mapping: A Flexible and Temporal Approach to Analysing Communicative Patterns." IC2S2 2025, Norrköping, 2025-07-24.
Kessling, Philipp, and Felix Victor Münch. 2025. "Telegram: Data Infrastructure for Researching Platform Dynamics." IC2S2 2025, Norrköping, 2025-07-23.
Kessling, Philipp, Felix Victor Münch, Mattes Ruckdeschel, and Gregor Wiedemann. 2025. "Semantic Similarity Networks and Explorable Hierarchical Topic Modeling in Large-Scale Cross-Platform Online Discourses Based on Community Detection." IC2S2 2025, Norrköping, 2025-07-22.
Puschmann, Cornelius, Helena Rauxloh, Lisa Merten, Sebastian Stier, Katrin Weller, and Juhi Kulshrestha. 2025. "How affect shapes online information seeking about political actors." New Media & Society online first: . doi: https://doi.org/10.1177/14614448251346199.
Momeni, Fakhri, Felix Victor Münch, Chung-hong Chan, and Muhammad Taimoor Khan. 2025. "Hands-on Session on Methods Hub." 2nd MethodsNET Conference, Université catholique de Louvain, 2025-09-12 - 2025-09-01. https://github.com/taimoorkhan-nlp/MethodsHub-at-MethodsNet2025.
Lipinsky, Anke. 2026. "Geschlechtsbezogene Gewalt in der Wissenschaft: Strukturen, Dynamiken, Konsequenzen." https://www.leuphana.de/einrichtungen/gleichstellung/aktuell/termine/ansicht/2026/03/09/geschlechtsbezogene-gewalt-in-der-wissenschaft-strukturen-dynamiken-konsequenzen.html , Leuphana Universität, 2026-03-09.
Kessling, Philipp, and Felix Victor Münch. 2026. "Riding the Spider: A Network-Sampling Framework for Multi-Platform Data Collections." M&K Medien & Kommunikationswissenschaft 1 (74): 52-70. doi: https://doi.org/10.5771/1615-634x-2026-1-52.
Darius, Philipp, Johannes Breuer, Simon Kruschinski, Felicia Loecherbach, Jasmin Riedl, and Sebastian Stier. 2026. "Election research in the age of regulated data access under the EU Digital Services Act." Internet Policy Review 1 (15): 1-25. doi: https://doi.org/10.14763/2026.1.2080.
Asensio Manjon, Marc, Anna De Castellarnau, Barbara Felderer, Carlos Poses, Lydia Repke, Melanie Revilla, Willem E. Saris, Hannah Schwarz, and Wiebke Weber. 2026. SQP 3.0 data (Version 1.0.0). doi: https://doi.org/10.7802/2968.
Wiltshire, Deborah, Anne van der Kant, Bolton Sharon, Maria Alexandra Rujano, Christian Ohmann, Eugenio Gonzalo Jimenez, Anne-Marie Tuikka, Marcos Casada Barbero, Beate Lichtwardt, and Sharon Bolton. 2025. EOSC-ENTRUST D7.1 Driver validation report of Year 1 EOSC-ENTRUST architectural blueprint including gap analysis. zenodo. doi: https://doi.org/10.5281/zenodo.14988868.
