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

    Daten- und Informationsqualität

    Funk, B., 2010, In: WI.ONLINE. 1.2010, p. 34

    Research output: Journal contributionsCritical reviewsResearch

  2. Published

    Datenstrukturen und Algorithmen: Grundlagen, Basisalgorithmen und Lösungsstrategien für sequentielle und parallele Algorithmen

    Hoffmann, U., 2013, Lüneburg: Universität Lüneburg, 403 p. (FINAL; vol. 23, no. 3).

    Research output: Working paperWorking papers

  3. Published

    Datenstrukturen & Algorithmen

    Hoffmann, U., 2005, Lüneburg: Universität Lüneburg, 361 p. (Final - Forum Informatics at Lüneburg; vol. 15, no. 2).

    Research output: Working paperWorking papers

  4. Published

    Datenschutzbedenken in Sozialen Netzen -: ein Strukturgleichungsmodell

    Kuckertz, M. & Funk, B., 2015, Smart Enterprise Engineering: 12. Internationale Tagung Wirtschaftsinformatik (WI 2015), Tagungsband. Thomas., O. & Teuteberg, F. (eds.). Osnabrück: Universität Osnabrück, p. 1771-1785 15 p.

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

  5. Published

    Datenmodellierung mit dem Entity-Relationship-Ansatz

    Jacobs, J., 05.1996, Lüneburg: Universität Lüneburg, 49 p. (Final; vol. 6, no. 3).

    Research output: Working paperWorking papers

  6. 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

  7. Published

    Datengetriebene Agilität: Auf der Erfolgsspur zur Digitalen Exzellenz

    Böhmann, T., Drews, P. & Zolnowski, A., 2016, Hamburg: Sopra Steria Consulting, 40 p.

    Research output: Working paperProject reportsTransfer

  8. E-pub ahead of print

    Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions

    Zantvoort, K., Hentati Isacsson, N., Funk, B. & Kaldo, V., 15.05.2024, (E-pub ahead of print) In: Digital Health. 10, 10 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    Data practices in apps from Brazil: What do privacy policies inform us about?

    Quadros dos Reis, V., Rabello, M. E. R., Lima, A. C., Jardim, G. P. S., Fernandes, E. R. & Brefeld, U., 10.02.2023, In: Journal on Interactive Systems. 14, 1, p. 1-8 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Data-driven analyses of electronic text books

    Boubekki, A., Kröhne, U., Goldhammer, F., Schreiber, W. & Brefeld, U., 2016, Solving large scale learning tasks: Challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday. Michaelis, S., Piatkowski, N. & Stolpe, M. (eds.). Cham: Springer International Publishing AG, p. 362-376 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9580).

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