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

    Self-supervised Siamese Autoencoders

    Baier, F., Mair, S. & Fadel, S. G., 2024, Advances in Intelligent Data Analysis XXII: 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Proceedings. Miliou, I., Papapetrou, P. & Piatkowski, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 117-128 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14641 LNCS).

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

  2. Published
  3. Published

    Value-Sensitive Digital Social Innovations for Marginalized Individuals: Towards a Research Agenda

    Gebken, L., Schirmer, I., Simon, J. & Drews, P., 01.08.2024, In: Academy of Management Proceedings. 2024, 1

    Research output: Journal contributionsConference abstract in journalResearchpeer-review

  4. Published

    Value-sensitive Action Design Research: Improving the Consideration and Traceability of Values in Design Decisions

    Gebken, L., Jacobs, M., Drews, P., Schirmer, I. & Drechsler, A., 2024, In: Scandinavian Journal of Information Systems. 36, 2, p. 5-36 32 p., 1.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. 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

  6. Published

    Good Practices der digitalen Transformation im öffentlichen Gesundheitsdienst

    Maschewski, J., Lemmer, K. & Drews, P., 2024, Digitale Daseinsvorsorge: Stadtwerke als Treiber der digitalen Transformation für Kommunen, Land und Bund. Meier, J., Brosze, T., Papenfuß, U. & Wiesche, M. (eds.). Wiesbaden: Springer Gabler, p. 369-390 22 p.

    Research output: Contributions to collected editions/worksChapterpeer-review

  7. Published

    D2R2 2024: Linked Data-driven Resilience Research 2024: Proceedings of the Third International Workshop on Linked Data-driven Resilience Research (D2R2'24) co-located with European Semantic Web Conference 2024 (ESWC 2024), May 27, 2024

    Holze, J. (Editor), Tramp, S. (Editor), Martin, M. (Editor), Auer, S. (Editor), Usbeck, R. (Editor) & Krdzavac, N. (Editor), 2024, Aachen: Rheinisch-Westfaelische Technische Hochschule Aachen. (CEUR Workshop Proceedings; vol. 3707)

    Research output: Books and anthologiesConference proceedingsResearch

  8. Published

    Scholarly Question Answering Using Large Language Models in the NFDI4DataScience Gateway

    Babaei Giglou, H., Taffa, T. A., Abdullah, R., Usmanova, A., Usbeck, R., D’Souza, J. & Auer, S., 2024, Natural Scientific Language Processing and Research Knowledge Graphs - 1st International Workshop, NSLP 2024, Proceedings. Rehm, G., Dietze, S., Schimmler, S. & Krüger, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-18 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14770 LNAI).

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

  9. Published

    Master of Disaster: A Disaster-Related Event Monitoring System From News Streams

    Huang, J. & Usbeck, R., 2024

    Research output: other publicationsOtherResearch

  10. Published

    Low Resource Question Answering: An Amharic Benchmarking Dataset: An Amharic Benchmarking Dataset

    Taffa, T. A., Assabie, Y. & Usbeck, R., 2024, The Fifth Workshop on Resources for African Indigenous Languages @LREC-COLING-2024 (RAIL): Workshop Proceedings. Mabuya, R., Matfunjwa, M., Setaka, M. & van Zaanen, M. (eds.). Paris: European Language Resources Association (ELRA), p. 124-132 9 p. (LREC proceedings)( International conference on computational linguistics).

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

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