Research

Excellent and relevant research is a core element of the institute mission. Geoinformatics as an interdisciplinary domain integrates methods and approaches from different areas, which are reflected in the diversity of research activities at ifgi. The institutes coordinates and participates in a substantial number of research projects and hosts several research groups tackling key issues in Geoinformatics. The following pages provide more information about our research-related activities.

Selected Publications

Rademaker A, Koukouraki E, Pondi, B (2026) QFlowCrate: A QGIS Plugin for Workflow Documentation and Provenance Capture to Enhance Geoscientific Reproducibility. Journal of Open Research Software, 14: 44. DOI: https://doi.org/10.5334/jors.704

Koukouraki, E., Ajay, A., Abubakar, A., & Eid, Y. (2026, May 18). Introducing the VISQAM Dataset: Toward Automated Map Interpretation. The 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026), Ghent, Belgium. DOI: https://doi.org/10.5281/zenodo.20273245

Koukouraki, Eftychia; Kray, Christian (2026). A systematic approach for assessing the importance of visual differences in reproduced maps. In: Cartography and Geographic Information Science, 53(3), 304-319. DOI: 10.1080/15230406.2024.2409920

Witte, V., Schwering, A., Frischemeier, D., Wieczorek, L., Mehren, R. (2026). Data Driven Mobility Transition: Enhancing Data Literacy and Self-efficacy Through a Transdisciplinary Project Week in Secondary Education In: Journal of Statistics and Data Science Education 1-16. DOI:10.1080/26939169.2025.2593295

Park Y; Krukar J; Brösamle M; Gero J; Hölscher C (2026). Interpreting Architectural Drawings: The Role of Gaze and Gestures in Cognitive Offloading. In: Applied Cognitive Psychology, 40(1), e70127. DOI: 10.1002/acp.70127

Pielage, Leon; Hätscher, Ole; Back, Mitja; Marschall, Bernhard; Risse, Benjamin (2026). Dynamic Personality Adaptation in Large Language Models via State Machines. arXiv:2602.22157. DOI: 10.48550/arXiv.2602.22157

Witte, V.; Schwering, A.; Frischemeier, D. (2026). Data collection as a catalyst for data literacy: A concept for building Smart City gadgets at school. In: Lisa Birk, Gerrit Loth, Luca Jotzo, Karin Binder and Daniel Frischemeier (Hrsg.), Proceedings of the IASE 2025 Satellite Conference - Statistics and Data Science Education in STEAM. Münster: i6doc, 1-8. DOI: 10.52041/iase25.108