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).
- 2025
- Published
uFood: Concept for a Serious Moral Game on Social-Media Marketing
Katsarov, J., Rabener, T., Wagenbach, T., Zakharova, E., Blanco Hoppmann, Y., Tran, L., Drews, P. & Trittin-Ulbrich, H., 2025, Games and Learning Alliance: 13th International Conference, GALA 2024. Schönbohm, A., Bellotti, F., Buchiarone, A., de Rosa, F., Ninaus, M., Wang, A., Wanick, V. & Dondio, P. (eds.). Cham: Springer Schweiz, p. 355-360 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15348 LNCS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Understanding Low-Code Evolution, Adoption and Ecosystem for Software Development
Naqvi, S. A. A. & Drews, P., 2025, ICSOB-C 2024, Software Business: PhD Retreat and Posters & Demos Track 2024: Companion Proceedings of the 15th International Conference on Software Business (PhD Retreat, Posters & Demos Track), Utrecht, the Netherlands, November 18–20, 2024. D., Santos, R., Khanna, D. & Elshan, E. (eds.). Aachen: Rheinisch-Westfälische Technische Hochschule Aachen, 9 p. (CEUR workshop proceedings; vol. 3921).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Use Cases for Artificial Intelligence in the Product Experimentation Lifecycle
Stotz, N. & Drews, P., 2025, Product-Focused Software Process Improvement: 25th International Conference, PROFES 2024 Tartu, Estonia, December 2–4, 2024; Proceedings. Pfahl, D., Gonzalez Huerta, J., Klünder, J. & Anwar, H. (eds.). Cham: Springer Nature Switzerland AG, p. 289-304 16 p. (Lecture Notes in Computer Science; vol. 15452).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Value-Based Transformation Management for Digital-Sustainable Co-Transformation
Zimmer, M. P. & Paul, K., 2025, In: FIfF-Kommunikation. 42, 1, p. 32-35Research output: Journal contributions › Journal articles › Transfer › peer-review
- 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
- Published
Identifying clinically relevant agranulocytosis in people registered on the UK clozapine Central Non-Rechallenge Database: retrospective cohort study
Oloyede, E., Bachmann, C. J., Dzahini, O., Lopez Alcaraz, J. M., Singh, S. D., Vallianatu, K., Funk, B., Whiskey, E. & Taylor, D., 11.2024, In: The British Journal of Psychiatry. 225, 5, p. 484-491 8 p.Research output: Journal contributions › Journal articles › Research › peer-review