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

    A two-step approach for the prediction of mood levels based on diary data

    Bremer, V., Becker, D., Genz, T., Funk, B. & Lehr, D., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings: European Conference, ECML PKDD 2018, Dublin, Ireland. Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M. & Hurley, N. (eds.). Cham: Springer International Publishing AG, p. 626-629 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

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

  3. Published

    DISKNET – A Platform for the Systematic Accumulation of Knowledge in IS Research

    Dann, D., Maedche, A., Teubner, T., Mueller, B., Meske, C. & Funk, B., 2019, ICIS 2019 Proceedings: IS research methods, theorizing and philosophy of science. Association for Information Systems, 9 p. Paper ID 2785. (40th International Conference on Information Systems, ICIS 2019).

    Research output: Contributions to collected editions/worksPublished abstract in conference proceedingsResearchpeer-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

    Innovationen in der Wissensvermittlung

    Groß, M., 2019, In: HR Performance. 6, p. 12-15 4 p.

    Research output: Journal contributionsJournal articlesTransfer

  6. 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

  7. 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

  8. 2018
  9. Published

    RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems

    Merschformann, M., Xie, L. & Li, H., 12.2018, In: Logistics Research. 11, 1, 11 p., 8.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Herausforderungen in der Wirtschaftsprüfung durch den Einsatz von Big Data-Technologien: Welche Impulse muss die Prüfungsforschung geben?

    Velte, P. & Drews, P., 26.10.2018, In: Der Betrieb. 71, 43, p. 2581-2585 5 p.

    Research output: Journal contributionsJournal articlesTransfer

  11. Published

    MDP-based itinerary recommendation using geo-tagged social media

    Gaonkar, R., Tavakol, M. & Brefeld, U., 25.10.2018, Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, Proceedings. Duivesteijn, W., Siebes, A. & Ukkonen, A. (eds.). Basel: Springer Nature AG, p. 111-123 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); no. 11191).

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

  12. Published

    Deterministic Pod Repositioning in Robotic Mobile Fulfillment Systems

    Krenzler, R., Xie, L. & Li, H., 09.10.2018, 37 p. (ArXiv.org).

    Research output: Working paperWorking papers