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

    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings - Part III

    Brefeld, U. (Editor), Curry , E. (Editor), Daly, E. (Editor), MacNamee, B. (Editor), Marascu, A. (Editor), Pinelli , F. (Editor), Berlingerio, M. (Editor) & Hurley, N. (Editor), 2019, Cham: Springer Verlag. 706 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11054 LNAI)

    Research output: Books and anthologiesCollected editions and anthologiesResearch

  2. Published

    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 766 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologiesConference proceedingsResearch

  3. Published

    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 732 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologiesConference proceedingsResearch

  4. Published

    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 804 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologiesConference proceedingsResearch

  5. Published

    Machine Learning Applications

    Arndt, N., Molitor, P. & Usbeck, R., 27.08.2023, In: IT - Information Technology. 65, 4-5, p. 139-141 3 p.

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

  6. Published

    Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data

    Hoogendoorn, M. & Funk, B., 2018, 1 ed. Cham: Springer International Publishing. 231 p. (Cognitive Systems Monograph; vol. 35)

    Research output: Books and anthologiesMonographsResearchpeer-review

  7. Published

    Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT

    Hentati Isacsson, N., Zantvoort, K., Forsell, E., Boman, M. & Kaldo, V., 12.2024, In: Internet Interventions. 38, 8 p., 100773.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Management-Informationssysteme als Werkzeug des Controllings in öffentlichen Verwaltungen

    Piechota, S., 1995, Management-Informationssysteme: Praktische Anwendungen. Hichert, R. & Moritz, M. (eds.). 2. völlig überarbeitete Auflage ed. Berlin: Springer Verlag, p. 71-83 13 p.

    Research output: Contributions to collected editions/worksChapter

  9. Published

    Managing Business Process in Distributed Systems: Requirements, Models, and Implementation

    Colomina, E., Funk, B., Niemeyer, P., Scheruhn, H.-J. & Weidner, S., 2010, In: IBIMA Business Review. p. 1-9 9 p.

    Research output: Journal contributionsJournal articlesEducationpeer-review

  10. Published

    Managing information in the case of opinion spamming

    Ge, L. & Voß, S., 08.2020, Design, User Experience, and Usability. Interaction Design - 9th International Conference, DUXU 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. Marcus, A. & Rosenzweig, E. (eds.). Cham: Springer Verlag, p. 370-384 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12200 LNCS).

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