Institute of Information Systems
Organisational unit: Institute
- Junior professorship for Information Systems, in particular Data Analytics
- Professorship for Computer Engineering
- Professorship for Information Systems, in particular Artificial Intelligence and Explainability
- Professorship for Information Systems, in particular Data Science
- Professorship for Information Systems, in particular Digital Transformation and Information Management
- Professorship for Information Systems, in particular E-Business and Knowledge Management
- Professorship for Information Systems, in particular Machine Learning
- Professorship for Information Systems, in particular Network Science
Organisation profile
At the Institute of Information Systems (IIS) of the Leuphana University we work on innovative topics in Information Systems and Data Science. The main focus is on digital transformation, e-health, e-commerce, business analytics, sports and e-learning. Methodologically, we focus on the development and use of machine learning and artificial intelligence methods for the modeling and solution of data-driven decision problems. Additional quantitative (e.g. graphs, optimization) and qualitative (e.g. interviews, reference modeling) methods complement this spectrum. Cooperating with other universities, companies, and institutions of the civil society plays an important role in our work.
Main research areas
At the Institute of Information Systems there are currently 6 professors and numerous research assistants. Our main research areas include digital transformation, e-health, e-commerce, business analytics, sports, and e-learning. Details can be found on the websites of the work groups and in the central research database of Leuphana. The Institute of Information Systems organized a number of events and conferences at Leuphana (e.g. ITEE 2013, final round of the German National Computer Science Competition 2014, MKWI 2018).
- Accepted/In press
AI-Enhanced Literature Reviews: Connecting Emerging Phenomena and Bodies of Knowledge
Naqvi, S. A. A., Zimmer, M. P., Kauschinger, M., Drews, P. & Basole, R. C., 2026, (Accepted/In press) Proceedings of HICSS 2026.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- E-pub ahead of print
ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs
Salnikov, M., Sakhovskiy, A., Nikishina, I., Usmanova, A., Kraft, A., Möller, C., Banerjee, D., Huang, J., Jiang, L., Abdullah, R., Yan, X., Tutubalina, E., Usbeck, R. & Panchenko, A., 2026, Natural Language Processing and Information Systems: 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, Proceedings. Ichise, R. (ed.). Springer Science and Business Media Deutschland, p. 95-110 16 p. (Lecture Notes in Computer Science; vol. 15836 LNCS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
ASK-DBLP: Answering Questions over DBLP
Taffa, T., Neises, P., Ollinger, S., Westphal, P., Ackermann, M. R., Banerjee, D. & Usbeck, R., 02.11.2025, ISWC-C 2025, Industry, Doctoral Consortium, Posters and Demos at ISWC 2025: Joint Proceedings of Industry, Doctoral Consortium, Posters and Demos of the 24th International Semantic Web Conference (ISWC-C 2025), ISWC 2025 Companion Volume. Celino, I., Hassanzadeh, O., Bernstein, A., Noy, N., Cheng, G., Wang, S., Ferrada, S., Soulard, T., Kozaki, K., Takeda, H. & Gentile, A. L. (eds.). Aachen: Sun Site Central Europe (RWTH Aachen University), p. 435-440 6 p. D13. (CEUR Workshop Proceedings; vol. 4085).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Best Practices in AI and Data Science Models Evaluation
Banerjee, D., Taffa, T. A. & Usbeck, R., 2025, INFORMATIK 2025 : The Wide Open - Offenheit von Source bis Science, 16.-19.September 2025 Potsdam. Lucke, U., Stieglitz, S., Uebernickel, F., Lamprecht, A.-L. & Klein, M. (eds.). Bonn: Gesellschaft für Informatik, Bonn, p. 1211-1219 9 p. (Lecture Notes in Informatics; vol. P366).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
NFDI4DS: Shared Tasks for Scholarly Document Processing
Ahmad, R. A., Abdulla, R., Taffa, T. A., Auer, S., Giglou, H. B., Borisova, E., Chen, Z., Dietze, S., D'Souza, J., Elwes, M., Gesese, G. A., Jiang, S., Kutafina, E., Mayr, P., Rehm, G., Sadruddin, S., Schimmler, S., Schneider, D., Silva, K., Upadhyaya, S. & Usbeck, R., 2025, INFORMATIK 2025: The Wide Open - Offenheit von Source bis Science: 55. Jahrestagung der Gesellschaft für Informatik, Potsdam, Germany, September 16-19, 2025. Lucke, U., Stieglitz, S., Uebernickel, F., Lamprecht, A.-L. & Klein, M. (eds.). Bonn: Gesellschaft für Informatik, Bonn, Vol. P-366. p. 1195-1205 11 p. (Lecture Notes in Informatics (LNI)).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Analyzing the Influence of Knowledge Graph Information on Relation Extraction.
Möller, C. & Usbeck, R., 2025Research output: other publications › Other › Research
- E-pub ahead of print
IT Outsourcing Relationships in the Context of Digital Transformation: From Transactional Relationships to Ecosystem Partnerships
Gratzke, L., Zimmer, M. P. & Drews, P., 23.10.2025, (E-pub ahead of print) In: Information Systems Management. 20 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Berto, F., Hua, C., Park, J., Luttmann, L., Ma, Y., Bu, F., Wang, J., Ye, H., Kim, M., Choi, S., Zepeda, N. G., Hottung, A., Zhou, J., Bi, J., Hu, Y., Liu, F., Kim, H., Son, J., Kim, H., Angioni, D., Kool, W., Cao, Z., Zhang, Q., Kim, J., Zhang, J., Shin, K., Wu, C., Ahn, S., Song, G., Kwon, C., Tierney, K., Xie, L. & Park, J., 03.08.2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Antonie, L., Pei, J. & Yu, X. (eds.). Association for Computing Machinery, p. 5278-5289 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Taking Digital Responsibility for Data: Toward a Governance Model for User-Generated Data
Christ, A. S., Carl, K. V., Kurtz, C., Lobschat, L., Mueller, B. & Zimmer, M. P., 09.2025, In: Schmalenbach Journal of Business Research. 77, 3, p. 527-556 30 p.Research output: Journal contributions › Journal articles › Research › peer-review
- E-pub ahead of print
Self-improvement for Computerized Adaptive Testing
Rudolph, Y., Neubauer, K. & Brefeld, U., 2026, Machine Learning and Knowledge Discovery in Databases - Research Track: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings. Ribeiro, R. P., Jorge, A. M., Soares, C., Gama, J., Pfahringer, B., Japkowicz, N., Larrañaga, P. & Abreu, P. H. (eds.). Cham: Springer International Publishing, Vol. 2. p. 70-86 17 p. (Lecture Notes in Computer Science; vol. 16014 LNCS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review