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

    From Enterprise Architecture to Business Ecosystem Architecture: Stages and challenges for extending architectures beyond organizational boundaries

    Drews, P. & Schirmer, I., 02.12.2014, Proceedings - IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, EDOCW 2014. Halle, S., Rinderle-Ma, S., Grossmann, G., Reichert, M., Karastoyanova, D., Reichert, M., Rinderle-Ma, S. & Grossmann, G. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 13-22 10 p. 6975336. (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW).

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

  2. Published
  3. Published

    Frame-based Optimal Design

    Mair, S., Rudolph, Y., Closius, V. & Brefeld, U., 23.01.2019, Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham: Springer Nature AG, Vol. 2. p. 447-463 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11052 LNAI).

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

  4. Published

    Frame-based Data Factorizations

    Mair, S., Boubekki, A. & Brefeld, U., 25.07.2017, 34th International Conference on Machine Learning, ICML 2017. Precup, D. & Teh, Y. W. (eds.). Red Hook: Curran Associates, p. 2305-2313 9 p. (Proceedings of Machine Learning Research; vol. 70).

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

  5. Published

    Fostering Inclusivity – Towards Principles for Inclusive Information Systems Design

    Vimalan, N., Zimmer, M. P. & Drews, P., 2024, Wirtschaftsinformatik 2024 Proceedings. Flath, C. M., Gust, G., Thiesse, F. & Winkelmann, A. (eds.). The Association for Information Systems (AIS), 15 p. 85

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

  6. Published

    Formulating and solving integrated order batching and routing in multi-depot AGV-assisted mixed-shelves warehouses

    Xie, L., Li, H. & Luttmann, L., 01.06.2023, In: European Journal of Operational Research . 307, 2, p. 713-730 18 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Foreword to applied data science, demo, and nectar tracks

    Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A. & Pinelli, F., 01.01.2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings. Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A. & Pinelli, F. (eds.). Cham: Springer, Vol. 3. p. V-VI 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053).

    Research output: Contributions to collected editions/worksOtherResearch

  8. Published

    ‘Forewarned is Forearmed’: Overcoming Multifaceted Challenges of Digital Innovation Units

    Raabe, J.-P., Horlach, B., Schirmer, I. & Drews, P., 2020, 26th Americas Conference on Information Systems, AMCIS 2020: Strategic and competitive uses of IT. A. F. I. S. (ed.). Atlanta: AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2020).

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

  9. Published

    Finding the Best Match — a Case Study on the (Text‑) Feature and Model Choice in Digital Mental Health Interventions

    Zantvoort, K., Scharfenberger, J., Boß, L., Lehr, D. & Funk, B., 12.2023, In: Journal of Healthcare Informatics Research. 7, 4, p. 447-479 33 p., 00148.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Finanzmathematische Effektivzins-Berechnungsmethoden

    Kober, J., Knöll, H.-D. & Rometsch, U., 1992, Mannheim: BI Wissenschaftsverlag. 206 p.

    Research output: Books and anthologiesMonographsTransfer

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