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
Schaible, Johann, Brigitte Mathiak, and Oliver Hopt. 2011. "Structuring unstructured data using controlled vocabularies." Data Science Professionals: a Global Community of Sharing at the International Association for Social Science Information Services and Technology conference (IASSIST).
Zapilko, Benjamin, Andreas Harth, and Brigitte Mathiak. 2011. "Enriching and analysing statistics with Linked Open Data." In NTTS - Conference on New Techniques and Technologies for Statistics, S8 Paper 1.
Zapilko, Benjamin, Andreas Harth, and Brigitte Mathiak. 2011. "Enriching and analysing statistics with Linked Open Data." NTTS - Conference on New Techniques and Technologies for Statistics.
Mutschke, Peter. 2010. "Zentralitätsanomalien und Netzwerkstruktur: ein Plädoyer für einen „engeren“ Netzwerkbegriff und ein community-orientiertes Zentralitätsmodell." 2. Aufl.. In Netzwerkanalyse und Netzwerktheorie : ein neues Paradigma in den Sozialwissenschaften, edited by Christian Stegbauer, 261-272. Wiesbaden: VS Verl. für Sozialwiss..
Mutschke, Peter. 2010. "Zentralitäts- und Prestigemaße." In Handbuch Netzwerkforschung, edited by Christian Stegbauer, and Roger Häußling, 365-378. Wiesbaden: VS Verl. für Sozialwiss..
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.
