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

    Human-Value-Oriented Digital Social Innovation: A Multilevel Design Framework

    Gebken, L., Kurtz, C., Drews, P., Schirmer, I. & Böhmann, T., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 1654

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

  2. Published

    Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking

    Burmeister, F., Kurtz, C., Vogel, P., Drews, P. & Schirmer, I., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 2692

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

  3. Published

    Realization of Data-Driven Business Models in Incumbent Companies: An Exploratory Study Based on the Resource-Based View

    Lange, H. E., Drews, P. & Höft, M., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 1410

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

  4. Published

    Space and Control in Soccer

    Martens, F., Dick, U. & Brefeld, U., 16.07.2021, In: Frontiers in Sports and Active Living . 3, 13 p., 676179.

    Research output: Journal contributionsJournal articlesResearch

  5. Published

    Principled Interpolation in Normalizing Flows

    Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 09.2021, Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II. Oliver, N., Pérez-Cruz, F., Kramer, S., Read, J. & Lozano, J. A. (eds.). Cham: Springer Nature AG, p. 116-131 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12976 LNAI).

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

  6. Published

    Contextual movement models based on normalizing flows

    Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 03.2023, In: AStA Advances in Statistical Analysis. 107, 1-2, p. 51-72 22 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    The origins of goals in the German Bundesliga

    Anzer, G., Bauer, P. & Brefeld, U., 17.11.2021, In: Journal of Sports Sciences. 39, 22, p. 2525-2544 20 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Joint optimization of an autoencoder for clustering and embedding

    Boubekki, A., Kampffmeyer, M., Brefeld, U. & Jenssen, R., 01.07.2021, In: Machine Learning. 110, 7, p. 1901-1937 37 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    “Ideation is Fine, but Execution is Key”: How Incumbent Companies Realize Data-Driven Business Models

    Lange, H. E., Drews, P. & Höft, M., 2021, Proceedings - 2021 IEEE 23rd Conference on Business Informatics, CBI 2021 - Main Papers: CBI 2021, Virtual Conference 1-3 September 2021, Proceedings . Almeida, J. P. A., Guizzardi , G., Montali , M. & Proper , H. A. (eds.). Los Alamitos: IEEE - Institute of Electrical and Electronics Engineers Inc., Vol. 1. p. 191-200 10 p. ( IEEE ... Conference on Business Informatics; vol. 23, no. 1).

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

  10. Published

    A MODEL FOR QUANTIFICATION OF SOFTWARE COMPLEXITY

    Roth, C. & Lesshafft, K., 06.1987, In: Angewandte Informatik. 29, 6, p. 227-234 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review