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
Schoch, David, Chung-hong Chan, Claudia Wagner, and Arnim Bleier. 2024. "Computational reproducibility in computational social science." EPJ Data Science 13 (2 December 2024): 75. doi: https://doi.org/10.1140/epjds/s13688-024-00514-w.
Lietz, Haiko. 2024. "Kritikalität und Selbstähnlichkeit in der relationalen Soziologie Whites." 9. Kongress der Deutschen Gesellschaft für Netzwerkforschung, Schader Stiftung, Darmstadt, 2024-10-29.
Sun, Jun, and Fariba Karimi. 2024. "Emergence of group size disparity in growing networks with adoption." Communications Physics 7 (19 September 2024): 309. doi: https://doi.org/10.1038/s42005-024-01799-z.
Lietz, Haiko. 2024. "Practical computational analytical sociology." 16th Annual Conference of the International Network of Analytical Sociology, Leipzig University, Leipzig, 2024-05-30.
Plath, Michaela, Lara Derycke, Matthias Sand, Drieke Van de Vyvere, Tim Delemarre, Carlo Cavaliere, Peter K. Plinkert, Gabriele Holtappels, and Claus Bachert. 2023. "Can patient-reported outcomes and inflammatory markers define endotype 2 in chronic rhinosinusitis without nasal polyps?" Annals of Allergy Asthma & Immunology 130 (4): 485-493. doi: https://doi.org/10.1016/j.anai.2022.11.020.
Deckert, Andreas, Andreas Simon, Ivonne Morales, Manuela de Allegri, Hoa Thi Nguyen, Aurélia Souares, Shannon McMahon, Matthias Meurer, Robin Burk, Dan Lou, Lucia Brugnara, Matthias Sand, Lisa Koeppel, Michael Maier-Marx, Paul Schnitzer, Michael Knop, Till Bärninghaus, and Claudia Denkinger. 2023. "Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial." JMIR Public Health Surveillance 9 e44204. doi: https://doi.org/10.2196/44204.
Hadler, Patricia. 2023. Context effects in question evaluation via web probing: Exploring the interaction of open-ended and closed survey questions. Mannheim: MADOC. https://madoc.bib.uni-mannheim.de/66207/.
Otto, Wolfgang, Matthäus Zloch, Lu Gan, Dr. Saurav Karmakar, and Stefan Dietze. 2023. "GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets." In Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor, Juan Pino, and Kalika Bali, 8166-8176. Singapore: Association for Computational Linguistics. https://aclanthology.org/2023.findings-emnlp.548.
Repke, Lydia, Theresia Ell, and Henning Silber. 2023. "Beyond Distancing: An Examination of Social Networks and Mental Health in the Covid-19 Era." Social networks and wellbeing of older adults, Universität zu Köln, Köln, 2023-12-07.
