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. 2025
  2. Published

    Patient centricity in IS healthcare – a framework proposing enablement, empowerment, and engagement of patients as individual IS users

    Maschewski, J. & Lemmer, K., 04.2025, Transforming the Digitally Sustainable Enterprise: Proceedings of the 18th International Conference on Wirtschaftsinformatik, 2023, Vol. 3. Beverungen, D., Lehrer, C. & Trier, M. (eds.). Cham: Springer Science and Business Media Deutschland, p. 593-607 15 p. 343. (Lecture Notes in Information Systems and Organisation; vol. 76).

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

  3. Published

    Seeking social support on social media: a coping perspective

    Chen, A. & Lemmer, K., 18.03.2025, In: Internet Research. 35, 2, p. 664-690 27 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    Knowledge Graph Question Answering and Large Language Models

    Banerjee, D., Hu, N., Tan, Y., Min, D., Wu, Y., Usbeck, R. & Qi, G., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 466-531 66 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).

    Research output: Contributions to collected editions/worksChapter

  5. Published

    Neuro-Symbolic Relation Extraction

    Yan, X., Usmanova, A., Möller, C., Westphal, P. & Usbeck, R., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 550-576 27 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).

    Research output: Contributions to collected editions/worksChapter

  6. Published

    SH-CoDE: Scholarly Hybrid Complex Question Decomposition and Execution

    Taffa, T. A. & Usbeck, R., 05.02.2025, Proceedings - 2025 19th International Conference on Semantic Computing, ICSC 2025: ICSC 2025, Laguna Hills, CA, USA, 3-5 February 2025; Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 128-135 8 p. 11036317. (Proceedings - IEEE International Conference on Semantic Computing, ICSC).

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

  7. Published

    Junior fellows and distinguished dissertation of the GI and AI for crisis

    Usbeck, R., Kraft, A. & Westphal, P., 01.02.2025, In: IT - Information Technology. 67, 1, p. 1-2 2 p.

    Research output: Journal contributionsOther (editorial matter etc.)Research

  8. 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

  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, HICSS 2025. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, 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

  11. Published

    Conveying the Ethics of Artificial Intelligence in K–12 and Academia: A Systematic Review of Teaching Methods

    Tschoppe, N. J., Katsarov, J., Drews, P. & Trittin-Ulbrich, H., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences: Hilton Waikoloa Village, January 7-10, 2025. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 4744-4753 10 p. (Hawaii International Conference on System Sciences (HICSS); vol. 2025).

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

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