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. 2019
  2. 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

  3. Published

    A Privacy-driven Enterprise Architecture Meta-Model for Supporting Compliance with the General Data Protection Regulation

    Burmeister, F., Drews, P. & Schirmer, I., 01.01.2019, Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019. Bui, T. X. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 6052-6061 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2019-January).

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

  4. 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

  5. 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

  6. Published

    Simulated annealing approach to nurse rostering benchmark and real-world instances

    Knust, F. & Xie, L., 01.01.2019, In: Annals of Operations Research. 272, 1-2, p. 187-216 30 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Enhancing the Building Information Modeling Lifecycle of Complex Structures with IoT: Phases, Capabilities and Use Cases

    Gebken, L., Drews, P. & Schirmer, I., 08.01.2019, Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019. Bui, T. X. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 5929-5938 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2019-January).

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

  8. Published

    Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data

    Bremer, V., Funk, B. & Riper, H., 13.01.2019, In: Depression Research and Treatment. 2019, 9 p., 3481624.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    Probabilistic movement models and zones of control

    Brefeld, U., Lasek, J. & Mair, S., 15.01.2019, In: Machine Learning. 108, 1, p. 127-147 21 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Frame-based Optimal Design

    Mair, S., Rudolph, Y., Closius, V. & Brefeld, U., 23.01.2019, Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham: Springer Nature AG, Vol. 2. p. 447-463 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11052 LNAI).

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

  11. 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