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. 2024
  2. Published

    Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI

    Kraft, A. & Soulier, E., 03.06.2024, 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024. Association for Computing Machinery, Inc, p. 1433-1445 13 p. (2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024).

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

  3. Published
  4. 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

  5. Published

    Event Extraction Alone Is Not Enough

    Huang, J., Jiang, L., Möller, C. & Usbeck, R., 05.2024, Narrative Extraction From Texts 2024: Proceedings of Text2Story — Seventh Workshop on Narrative Extraction From Texts held in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024). Campos, R., Jorge, A. M., Jatowt, A., Bhatia, S. & Litvak, M. (eds.). Aachen: Rheinisch-Westfaelische Technische Hochschule Aachen, Vol. 3671. p. 105-114 10 p. (CEUR Workshop Proceedings; vol. 3671).

    Research output: Contributions to collected editions/worksConference contributionpeer-review

  6. Submitted

    Studying properties of water data using manifold-aware anomaly detectors

    Paulsen, T. & Brefeld, U., 23.04.2024, (Submitted) Design of Cyber-Secure Water Plants. Mathur, A., Zhou, J. & Raman, G. (eds.). MDPI AG, (Water).

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

  7. Published

    Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data

    Amangeldi, D., Usmanova, A. & Shamoi, P., 07.03.2024, In: IEEE Access. 12, p. 33504-33523 20 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse

    Borisova, E., Abu Ahmad, R., Garcia-Castro, L. J., Usbeck, R. & Rehm, G., 01.03.2024, LAW 2024 - 18th Linguistic Annotation Workshop, Co-located with EACL 2024 - Proceedings of the Workshop: Proceedings of the Workshop. Henning, S. & Stede, M. (eds.). Stroudsburg: Association for Computational Linguistics (ACL), p. 29-45 17 p.

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

  9. Published

    Masked Autoencoder Pretraining for Event Classification in Elite Soccer

    Rudolph, Y. & Brefeld, U., 26.02.2024, Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Revised Selected Papers. Brefeld, U., Davis, J., Van Haaren, J. & Zimmermann, A. (eds.). Cham: Springer Nature Switzerland AG, p. 24-35 12 p. (Communications in Computer and Information Science; vol. 2035).

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

  10. Published

    Digitale Kompetenzen im Wandel: Eine Neubewertung digitaler Kompetenzen in der IT-Funktion eines Automobilunternehmens

    Pieczurczyk, S. & Drews, P., 02.2024, In: HMD Praxis der Wirtschaftsinformatik. 61, 1, p. 78-99 22 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  11. Submitted

    Special Issue: Embracing Contrarian Thinking: Value-Reflexive Research for a Digital World

    Zimmer, M. P. (Editor), Vasilakopoulou, P. (Editor), Grisot, M. (Editor) & Niemimaa, M. (Editor), 07.2025, Routledge Taylor & Francis Group. (European Journal of Information Systems)

    Research output: Books and anthologiesSpecial Journal issueResearch

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