Institute of Information Systems
Organisational unit: Institute
- Junior professorship for Information Systems, in particular Data Analytics
- Professorship for Computer Engineering
- Professorship for Information Systems, in particular Artificial Intelligence and Explainability
- Professorship for Information Systems, in particular Data Science
- Professorship for Information Systems, in particular Digital Transformation and Information Management
- Professorship for Information Systems, in particular E-Business and Knowledge Management
- Professorship for Information Systems, in particular Machine Learning
- Professorship for Information Systems, in particular Network Science
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).
- 2024
- Published
Creative spaces in computer science
Kohler, M., Usbeck, R. & Edinger, J., 12.2024, In: IT - Information Technology. 66, 2-3, p. 39-41 3 p.Research output: Journal contributions › Other (editorial matter etc.) › Research
- Published
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions
Zantvoort, K., Nacke, B., Görlich, D., Hornstein, S., Jacobi, C. & Funk, B., 12.2024, In: npj Digital Medicine. 7, 1, 10 p., 361.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Greenpeace's Digital Transformation: A Case of Digital–Sustainable Co-Transformation
Zimmer, M. P., Paul, K. & Drews, P., 12.2024, Lüneburg: Leuphana Universität Lüneburg, 59 p.Research output: Working paper › Project reports › Research
- Published
Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT
Hentati Isacsson, N., Zantvoort, K., Forsell, E., Boman, M. & Kaldo, V., 12.2024, In: Internet Interventions. 38, 8 p., 100773.Research output: Journal contributions › Journal articles › Research › peer-review
- 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 contributions › Journal articles › Research › peer-review
- 2025
- Accepted/In press
Aligning Experimentation with Product Operations: A Taxonomy for Structuring Experimentation Teams
Stotz, N., Labay, B., Vermeer, L. & Drews, P., 2025, (Accepted/In press) Proceedings of SEAA 2025. 8 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Analyzing the Influence of Knowledge Graph Information on Relation Extraction
Möller, C. & Usbeck, R., 2025, The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025 Portoroz, Slovenia, June 1–5, 2025 Proceedings, Part I. Curry, E., Acosta, M., Poveda-Villalón, M., van Erp, M., Ojo, A., Hose, K., Shimizu, C. & Lisena, P. (eds.). Cham: Springer Nature Switzerland AG, Vol. 1. p. 460-480 21 p. (Lecture Notes in Computer Science ; vol. 15718).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Bridge-Generate: Scholarly Hybrid Question Answering
Taffa, T. A. & Usbeck, R., 2025, WWW Companion’25: Companion Proceedings of the ACM Web Conference 2025, April 28-May 2, 2025 Sydney, NSW, Australia. Long, G., Blumestein, M., Chang, Y., Lewin-Eytan, L., Huang, H. & Yom-Tov, E. (eds.). New York: Association for Computing Machinery, Inc, p. 1321-1325 5 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
DISCIE–Discriminative Closed Information Extraction
Möller, C. & Usbeck, R., 2025, The Semantic Web – ISWC 2024 - 23rd International Semantic Web Conference, Proceedings. Demartini, G., Hose, K., Acosta, M., Palmonari, M., Cheng, G., Skaf-Molli, H., Ferranti, N., Hernández, D. & Hogan, A. (eds.). Cham: Springer Nature Switzerland AG, p. 23-40 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15232 LNCS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
EVOLVING PURPOSES OF DIGITAL INNOVATION UNITS: EMPIRICAL INSIGHTS FROM A LARGE INSURANCE COMPANY
Werner, M., Stockhinger, J. & Schiffer, S., 2025, Academy of Management Proceedings.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review