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

    Game-supported Learning: Das Lernspiel C-TRAIN im Einsatz bei B.O.C.

    Heumann, B., Zierke, J. & Groß, M., 08.04.2019, In: HR Performance. Special, 2, p. 6-8 3 p.

    Research output: Journal contributionsJournal articlesTransfer

  2. Published

    Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings

    Brefeld, U. (Editor), Davis, J. (Editor), Van Haaren, J. (Editor) & Zimmermann, A. (Editor), 05.04.2019, Springer Nature AG. 179 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11330 LNAI)

    Research output: Books and anthologiesCollected editions and anthologiesResearch

  3. Published

    Datenkompetenzen in Kooperationen fördern

    Funk, B. & Wuppermann, M., 01.2019, In: DUZ Wissenschaft & Management. 2, 1, p. 26-29 4 p.

    Research output: Journal contributionsJournal articlesTransferpeer-review

  4. Published

    Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems

    Xie, L., Thieme, N., Krenzler, R. & Li, H., 2019, 31 p.

    Research output: Working paperWorking papers

  5. Published

    The Impact of Digitalization on the IT Department

    Urbach, N., Ahlemann, F., Böhmann, T., Drews, P., Brenner, W., Schaudel, F. & Schütte, R., 12.02.2019, In: Business and Information Systems Engineering. 61, 1, p. 123-131 9 p.

    Research output: Journal contributionsComments / Debate / ReportsResearch

  6. Published

    Reformstudie Belgien: eine Effektstudie zur Einführung von kompetenzorientiertem Rahmenplan und mBook

    Schreiber, W., Trautwein, U., Wagner, W. & Brefeld, U., 01.02.2019, Geschichtsdidaktischer Zwischenhalt: Beiträge aus der Tagung "Kompetent machen für ein Leben in, mit und durch Geschichte" in Eichstätt vom November 2017. Schreiber, W., Ziegler, B. & Kühberger, C. (eds.). 1. ed. Münster: Waxmann Verlag, p. 161-174 14 p. 2

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearch

  7. Published

    Foreword to applied data science, demo, and nectar tracks

    Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A. & Pinelli, F., 01.01.2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings. Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A. & Pinelli, F. (eds.). Cham: Springer, Vol. 3. p. V-VI 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053).

    Research output: Contributions to collected editions/worksOtherResearch

  8. Published

    Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics

    Lommel, L., Riebeling, M., Funk, B. & Junginger, C., 2019, Human Practice. Digital Ecologies. Our Future: 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Tagungsband . Ludwig, T. & Pipek, V. (eds.). Siegen: Universitätsverlag Siegen, p. 453-467 15 p.

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

  9. 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. 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

  10. Published

    Possibilities to improve online mental health treatment: Recommendations for future research and developments

    Becker, D., 01.01.2019, Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Springer, p. 91-112 22 p. (Advances in Intelligent Systems and Computing; vol. 886).

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