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

    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

  2. Published

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

    Huang, J. & Usbeck, R., 2024

    Research output: other publicationsOtherResearch

  3. 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

  4. Published

    Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations: A Systematic Review

    Ciharova, M., Amarti, K., van Breda, W., Peng, X., Lorente-Català, R., Funk, B., Hoogendoorn, M., Koutsouleris, N., Fusar-Poli, P., Karyotaki, E., Cuijpers, P. & Riper, H., 01.10.2024, In: Biological Psychiatry. 96, 7, p. 519-531 13 p.

    Research output: Journal contributionsScientific review articlesResearch

  5. Published

    Measuring the Speed of Information Technology in Enterprises: A Systematic Literature Review

    Kanin, O. & Drews, P., 2024, PACIS 2024 Proceedings: Digital Transformation and Change Management. Duan, S., Phuong Hoang, E. & Kar, A. K. (eds.). Atlanta: The Association for Information Systems (AIS), 17 p. 8

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

  6. 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

  7. 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

  8. 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

  9. Published

    Empowering the Public Sector: Unveiling the Transformational Potential of Low-Code in Crisis Responses

    Naqvi, S. A. A., Zimmer, M. P. & Drews, P., 2024, AMCIS 2024 Proceedings: ICT and Global Develop (SIG GLOBDEV). Kowal, J. & Diaz Andrade, A. (eds.). Atlanta: The Association for Information Systems (AIS), 6

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

  10. Published

    Narrative approach to futures: Future-oriented perspective to responsible digital transformation

    Zimmer, M. P. & Minkkinen, M., 2024, ECIS 2024 Proceedings. Atlanta: AIS eLibrary, 16 p. 2

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