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).
- 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
- 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
- Published
Toward Learning Distributions of Distributions
Wohlstein, M. & Brefeld, U., 2025, In: Proceedings of Machine Learning Research. 265, p. 269-275 7 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Accepted/In press
Metrics for Experimentation Programs: Categories, Benefits and Challenges
Stotz, N. & Drews, P., 2025, (Accepted/In press) Proceedings of XP 2025. 15 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Interactive sequential generative models for team sports
Fassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.Research output: Journal contributions › Journal articles › Research › peer-review
- E-pub ahead of print
Inclusion of Autistic It Workforce in Action: An Auticon Approach
Abramova, O., Recker, J., Schemm, U. & Barwitzki, L. D., 08.02.2025, (E-pub ahead of print) In: Information Systems Journal. 21 p.Research output: Journal contributions › Journal articles › 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
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
Jiang, L., Huang, J., Möller, C. & Usbeck, R., 06.02.2025Research output: other publications › Other › Research
- Published
Masked autoencoder for multiagent trajectories
Rudolph, Y. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 18 p., 44.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Construct relation extraction from scientific papers: Is it automatable yet?
Funk, B. & Scharfenberger, J., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences. Bui, T. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 4675-4684 10 p. (Hawaii International Conference on System Sciences (HICSS); vol. 2025).Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review