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

    Value-Based Transformation Management for Digital-Sustainable Co-Transformation

    Zimmer, M. P. & Paul, K., 2025, In: FIfF-Kommunikation. 42, 1, p. 32-35

    Research output: Journal contributionsJournal articlesTransferpeer-review

  2. Published

    EVOLVING PURPOSES OF DIGITAL INNOVATION UNITS: EMPIRICAL INSIGHTS FROM A LARGE INSURANCE COMPANY

    Werner, M., Stockhinger, J. & Schiffer, S., 2025, Academy of Management Proceedings.

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

  3. Published

    Toward Learning Distributions of Distributions

    Wohlstein, M. & Brefeld, U., 2025, In: Proceedings of Machine Learning Research. 265, p. 269-275 7 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  4. Accepted/In press

    Metrics for Experimentation Programs: Categories, Benefits and Challenges

    Stotz, N. & Drews, P., 2025, (Accepted/In press) Proceedings of XP 2025. 15 p.

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

  5. Published

    Interactive sequential generative models for team sports

    Fassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. E-pub ahead of print

    Inclusion of Autistic It Workforce in Action: An Auticon Approach

    Abramova, O., Recker, J., Schemm, U. & Barwitzki, L. D., 08.02.2025, (E-pub ahead of print) In: Information Systems Journal. 21 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Understanding Low-Code Evolution, Adoption and Ecosystem for Software Development

    Naqvi, S. A. A. & Drews, P., 2025, ICSOB-C 2024, Software Business: PhD Retreat and Posters & Demos Track 2024: Companion Proceedings of the 15th International Conference on Software Business (PhD Retreat, Posters & Demos Track), Utrecht, the Netherlands, November 18–20, 2024. D., Santos, R., Khanna, D. & Elshan, E. (eds.). Aachen: Rheinisch-Westfälische Technische Hochschule Aachen, 9 p. (CEUR workshop proceedings; vol. 3921).

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

  8. Published

    Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering

    Jiang, L., Huang, J., Möller, C. & Usbeck, R., 06.02.2025

    Research output: other publicationsOtherResearch

  9. Published

    Masked autoencoder for multiagent trajectories

    Rudolph, Y. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 18 p., 44.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Construct relation extraction from scientific papers: Is it automatable yet?

    Funk, B. & Scharfenberger, J., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences. Bui, T. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 4675-4684 10 p. (Hawaii International Conference on System Sciences (HICSS); vol. 2025).

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