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
Lietz, Haiko. 2025. "Going Breiger on White: Harrison C. White's identity in Social Network Science." Connections 45 (1): 49-58.
Lietz, Haiko. 2024. "Practical computational analytical sociology." 16th Annual Conference of the International Network of Analytical Sociology, Leipzig University, Leipzig, 2024-05-30.
Dahou, Abdelhalim Hafedh, and Brigitte Mathiak. 2025. "Automatic Categorization of Software Repository Domains with Minimal Resources." In Communications in Computer and Information Science (CCIS), Book series. doi: https://doi.org/10.1007/978-3-031-87569-4_2.
Ferrara, Antonio, Francesco Bonchi, Francesco Fabbri, Fariba Karimi, and Claudia Wagner. 2024. "Bias-aware ranking from pairwise comparisons." Data Mining and Knowledge Discovery 38 (4): 2062-2086. doi: https://doi.org/10.1007/s10618-024-01024-z.
Ell, Theresia, Lydia Repke, and Henning Silber. 2024. "Personal and Technology-Based Communication and Its Impact on Mental Health From a Network Perspective." Sunbelt Conference 2024, Heriot-Watt University, Edinburgh, 2024-06-24.
Repke, Lydia, Theresia Ell, and Henning Silber. 2024. "Beyond Distancing - An Examination of Social Networks and Mental Health in the Covid-19 Era." Sunbelt Conference 2024, Heriot-Watt University, Edinburgh, 2024-06-24.
Abdedaiem, Amin, Abdelhalim Hafedh Dahou, Mohamed Amine Cheragui, and Brigitte Mathiak. 2024. "FASSILA: A Corpus for Algerian Dialect Fake News Detection and Sentiment Analysis." In ACLing 2024: 6th International Conference on AI in Computational Linguistics, edited by Khaled Shaalan, and Samhaa El-Beltagy, Procedia Computer Science 244, 397-407. Elsevier. doi: https://doi.org/10.1016/j.procs.2024.10.214.
Dahou, Abdelhalim Hafedh, Mohamed Amine Cheragui, Amin Abdedaiem, and Brigitte Mathiak. 2024. "Enhancing Model Performance through Translation-based Data Augmentation in the context of Fake News Detection." In ACLing 2024: 6th International Conference on AI in Computational Linguistics, edited by Khaled Shaalan, and Samhaa El-Beltagy, Procedia Computer Science 244, 342-352. Elsevier. doi: https://doi.org/10.1016/j.procs.2024.10.208.
Saldanha Bach, Janete, and Peter Mutschke. 2024. "Advancements and challenges in assessing FAIR Principles: a hybrid approach through manual and automated assessments." In Forth Workshop on Metadata and Research (objects) Management for Linked Open Science
, Cologne: ZBMED. doi: https://doi.org/10.4126/FRL01-006473270.
