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.
Münch, Felix Victor. 2025. "Computational Methods - Network Analysis and Visualisation for Computational Social Science with Python and Gephi [Master-Seminar]." Universität Bremen. Sommersemester 2025: 2 SWS.
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.
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. doi: https://doi.org/10.5281/zenodo.14988868.
Wiltshire, Deborah, Eugenio Gonzalo Jimenez, Maria Panagiotopoulou, Anne-Marie Tuikka, Mojtaba Jafaritadi, Marcos Casada Barbero, and Beate Lichtwardt. 2025. EOSC-ENTRUST MS7 Initial Driver Requirements for TREs from the four Drivers. doi: https://doi.org/10.5281/zenodo.17434187.
Wiltshire, Deborah, Anne van der Kant, Srishti Dang, Maria Panagiotopoulou, Amy Curwin, Anne-Marie Tuikka, Bolton Sharon, Beate Lichtwardt, and Marcos Casada Barbero. 2025. EOSC-ENTRUST MS8 Revised Driver Requirements for TREs from the four Drivers report. doi: https://doi.org/10.5281/zenodo.17376746.
Münch, Felix Victor. 2026. "From Reputation Accumulation to Resonance Mining: Shifting Social Media Influence Mechanics in Times of Heteronomous Algorithmic Curation." The Impact of Social Media on Democracy: Final conference of the EU project "Social Media for Democracy (SoMe4Dem) - Understanding the causal mechanisms of digital citizenship" , Harnack-Haus der Max-Planck-Gesellschaft, Berlin, 2026-01-15. https://some4dem.eu/activities/event-series/the-impact-of-social-media-on-democracy.
