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
The Augmented Theorist - Toward Automated Knowledge Extraction from Conceptual Models
Scharfenberger, J., Funk, B. & Mueller, B., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 1975Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Review of transit data sources: Potentials, challenges and complementarity
Ge, L., Sarhani, M., Voß, S. & Xie, L., 16.10.2021, In: Sustainability. 13, 20, 36 p., 11450.Research output: Journal contributions › Scientific review articles › Research
- Published
Human-Value-Oriented Digital Social Innovation: A Multilevel Design Framework
Gebken, L., Kurtz, C., Drews, P., Schirmer, I. & Böhmann, T., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 1654Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking
Burmeister, F., Kurtz, C., Vogel, P., Drews, P. & Schirmer, I., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 2692Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Realization of Data-Driven Business Models in Incumbent Companies: An Exploratory Study Based on the Resource-Based View
Lange, H. E., Drews, P. & Höft, M., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 1410Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Space and Control in Soccer
Martens, F., Dick, U. & Brefeld, U., 16.07.2021, In: Frontiers in Sports and Active Living . 3, 13 p., 676179.Research output: Journal contributions › Journal articles › Research
- Published
Principled Interpolation in Normalizing Flows
Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 09.2021, Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II. Oliver, N., Pérez-Cruz, F., Kramer, S., Read, J. & Lozano, J. A. (eds.). Cham: Springer Nature AG, p. 116-131 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12976 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Contextual movement models based on normalizing flows
Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 03.2023, In: AStA Advances in Statistical Analysis. 107, 1-2, p. 51-72 22 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
The origins of goals in the German Bundesliga
Anzer, G., Bauer, P. & Brefeld, U., 17.11.2021, In: Journal of Sports Sciences. 39, 22, p. 2525-2544 20 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Joint optimization of an autoencoder for clustering and embedding
Boubekki, A., Kampffmeyer, M., Brefeld, U. & Jenssen, R., 01.07.2021, In: Machine Learning. 110, 7, p. 1901-1937 37 p.Research output: Journal contributions › Journal articles › Research › peer-review