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

    Consumer Online Search Behavior: A Cross-Industry Analysis Based on User-Level Data

    Nottorf, F., Mastel, A. & Funk, B., 2014, E-Business and Telecommunications: International Joint Conference, ICETE 2012. Rome, Italy, July 24–27, 2012, Revised Selected Papers. Obaidat, M. S. & Filipe, J. (eds.). Heidelberg: Springer Verlag, p. 72-87 16 p. (Communications in Computer and Information Science; vol. 455).

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

  2. 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

  3. Published

    Continous preventive diagnosis for cardiovascular diseases based on stochastic modeling

    Busch, B.-H. & Welge, R., 2011, In: International Journal on Computer and Industrial Management Applications. 3, p. 646-654 9 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    Controlling dezentraler Strukturen in globalen Unternehmen

    Piechota, S., 1998, Controlling-Praxis erfolgreicher Unternehmen: Von den Besten lernen. Borszcz, A. & Piechota, S. (eds.). 1 ed. Wiesbaden: Dr. Gabler Verlag, p. 149-173 25 p.

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

  5. Published

    Controllinggerechtes Geschäftsprozessmanagement

    Piechota, S., 2003, In: Controlling & Finance. 6, p. 4-5 2 p.

    Research output: Journal contributionsJournal articlesResearch

  6. Published

    Conveying the Ethics of Artificial Intelligence in K–12 and Academia: A Systematic Review of Teaching Methods

    Tschoppe, N. J., Katsarov, J., Drews, P. & Trittin-Ulbrich, H., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences: Hilton Waikoloa Village, January 7-10, 2025. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 4744-4753 10 p. (Hawaii International Conference on System Sciences (HICSS); vol. 2025).

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

  7. Published

    Convolutional Neural Networks

    Rudolph, Y. & Brefeld, U., 01.01.2023, Sportinformatik: Modellbildung, Simulation, Datenanalyse und Visualisierung von sportbezogenen Daten. Memmert, D. (ed.). Berlin: Springer Spektrum, p. 207-215 9 p.

    Research output: Contributions to collected editions/worksChapter

  8. Published

    Coresets for Archetypal Analysis

    Mair, S. & Brefeld, U., 2020, 32rd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019. Wallach, H. & Larochelle, H. (eds.). Red Hook: Curran Associates, Vol. 10. p. 7215-7223 9 p. (Advances in neural information processing systems; vol. 32).

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

  9. Published

    Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame

    Minkkinen, M., Zimmer, M. P. & Mäntymäki, M., 02.2023, In: Information Systems Frontiers. 25, 1, p. 103-121 19 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Creating Value from in-Vehicle Data: Detecting Road Surfaces and Road Hazards

    Kortmann, F., Hsu, Y.-C., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 20.09.2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 6 p. 9294684. (2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020).

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

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