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).

  1. Published

    Virtuous Play - Zur Förderung moralischer Sensitivität mit digitalen Spielen

    Katsarov, J., 2024, Planspiele – interdisziplinär vernetzt: Rückblick auf das 34. Europäische Planspielforum und den Deutschen Planspielpreis 2023. Tobias, A., Simon, H., Isabella, F., Birgit, Z. & Friedrich, T. (eds.). Stuttgart: ZMS – Zentrum für Managementsimulation, DHBW Stuttgart, Vol. 14. p. 78-104 27 p. (ZMS-Schriftenreihe; vol. 14).

    Research output: Contributions to collected editions/worksChapter

  2. Published

    uFood: Concept for a Serious Moral Game on Social-Media Marketing

    Katsarov, J., Rabener, T., Wagenbach, T., Zakharova, E., Blanco Hoppmann, Y., Tran, L., Drews, P. & Trittin-Ulbrich, H., 2025, Games and Learning Alliance: 13th International Conference, GALA 2024. Schönbohm, A., Bellotti, F., Buchiarone, A., de Rosa, F., Ninaus, M., Wang, A., Wanick, V. & Dondio, P. (eds.). Cham: Springer Schweiz, p. 355-360 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15348 LNCS).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  3. Published

    The Low-Code Phenomenon: Mapping the Intellectual Structure of Research

    Naqvi, S. A. A., Zimmer, M. P., Drews, P., Lemmer, K. & Basole, R. C., 03.01.2024, Proceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024. Bui, T. X. (ed.). Hawai: University of Hawaii at Manoa, p. 7800-7809 10 p. (Proceedings of the Hawaii Interna8onal Conference on System Sciences).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  4. Published
  5. 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/worksArticle in conference proceedingsResearchpeer-review

  6. Accepted/In press

    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., 19.08.2025, (Accepted/In press) In: Schmalenbach Journal of Business Research. 30 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Self-improvement for Computerized Adaptive Testing

    Rudolph, Y., Neubauer, K. & Brefeld, U., 23.09.2025, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings. Ribeiro, R. P., Pfahringer, B., Japkowicz, N., Larrañaga, P., Jorge, A. M., Soares, C., Abreu, P. H. & Gama, J. (eds.). Vol. 2. p. 70-86 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence); vol. 16014).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  8. Published

    DBLPLink 2.0 -- An Entity Linker for the DBLP Scholarly Knowledge Graph

    Banerjee, D., Taffa, T. A. & Usbeck, R., 30.07.2025

    Research output: other publicationsOtherResearch

  9. Accepted/In press

    In-House Experimentation Platforms: Motivation, Implementation Characteristics and Challenges

    Stotz, N. & Drews, P., 2025, (Accepted/In press) Proceedings of PROFES 2025. 16 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  10. Accepted/In press

    Digital leadership routines: Understanding the role of artifacts in digital leadership development

    Eberl, J. K., Zimmer, M. P. & Drews, P., 12.2025, In: Information and Organization. 35, 4, 100599.

    Research output: Journal contributionsJournal articlesResearchpeer-review

Recently viewed