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

    Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis

    Bremer, V., Becker, D., Kolovos, S., Funk, B., van Breda, W., Hoogendoorn, M. & Riper, H., 21.08.2018, In: Journal of Medical Internet Research. 20, 8, 11 p., e10275.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  2. Published

    Predicting the Individual Mood Level based on Diary Data

    Bremer, V., Becker, D., Funk, B. & Lehr, D., 06.2017, Proceedings of the 25th European Conference on Information Systems, ECIS 2017. AIS eLibrary, p. 1161-1177 17 p. (Proceedings of the 25th European Conference on Information Systems, ECIS 2017).

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

  3. Published

    Predicting the future performance of soccer players

    Arndt, C. & Brefeld, U., 01.10.2016, In: Statistical Analysis and Data Mining. 9, 5, p. 373-382 10 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring

    Pandarova, I., Schmidt, T., Hartig, J., Boubekki, A., Jones, R. D. & Brefeld, U., 15.08.2019, In: International Journal of Artificial Intelligence in Education. 29, 3, p. 342-367 26 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Published

    Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing

    Hornstein, S., Scharfenberger, J., Lueken, U., Wundrack, R. & Hilbert, K., 12.2024, In: npj Digital Medicine. 7, 1, 9 p., 132.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    Predicting online user behavior based on Real-Time Advertising Data

    Stange, M. & Funk, B., 06.2016, Proceedings of the Twenty-Fourth Conference on Information Systems (ECIS) 2016. AIS eLibrary, 14 p. (Research Papers; no. 152).

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

  7. Published

    Praxishandbuch SAP NetWeaver PI - Entwicklung

    Nicolescu, V. (Editor), Funk, B. (Editor), Niemeyer, P. (Editor), Heiler, M., Wittges, H., Morandell, T., Kleine Stegemann, B., Kienegger, H. & Visintin, F., 2009, 2. ed. Bonn: Galileo Press. 504 p.

    Research output: Books and anthologiesMonographsTransfer

  8. Published
  9. Published

    Präventive Diagnostik für Kardiovaskuläre Erkrankungen auf Basis Probabilistischer und Beschreibungslogischer Verfahren

    Weiss, C., Busch, B. H., Welge, R. & Bette, M., 2010, INFORMATIK 2010 - Service Science - Neue Perspektiven fur die Informatik, Beitrage der 40. Jahrestagung der Gesellschaft fur Informatik e.V. (GI). Gesellschaft für Informatik e.V., Vol. 1. p. 51-56 6 p. (INFORMATIK 2010 - Service Science - Neue Perspektiven fur die Informatik, Beitrage der 40. Jahrestagung der Gesellschaft fur Informatik e.V. (GI); vol. 1).

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

  10. Published

    Praeventive Notfallerkennung auf Basis probabilistischer und beschreibungslogischer Auswertung verteilter Sensornetze

    Busch, B.-H., Kujath, A., Witthöft, H. & Welge, R., 2011, Demographischer Wandel – Assistenzsysteme aus der Forschung in den Markt. VDE Verlag GmbH, 10 p.

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

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Researchers

  1. Annett Wojtaszek

Organisations

  1. Fakultät Nachhaltigkeit