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
Frühwarnindikatoren und Krisenfrühaufklärung: Ansätze und Praxisanforderungen
Weinrich, G. & Brokmann, T., 2012, Frühwarnindikatoren und Krisenfrühaufklärung: Konzepte zum präventiven Risikomanagement. Jacobs, J., Riegler, J., Schulte-Mattler, H. & Weinrich, G. (eds.). Wiesbaden: Gabler Verlag, p. 13-41 29 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
- Published
Frühwarnindikatoren: konzeptionelle Überlegungen und die Entwicklung eines Krisenwarnradars
Weinrich, G. & Brokmann, T., 2010, Frühwarnindikatoren und Risikomanagement: 1. Forschungssymposiuman der Leuphana Universität Lüneburg, Oktober 2009. Lüneburg: Universität Lüneburg, p. 1-24 24 p. (FInAl; vol. 20, no. 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research
- Published
Früherkennung kritischer Aktienkursentwicklungen
Jacobs, J., 2012, Frühwarnindikatoren und Krisenfrühaufklärung: Konzepte zum präventiven Risikomanagement. Jacobs, J., Riegler, J., Schulte-Mattler, H. & Weinrich, G. (eds.). Wiesbaden: Gabler Verlag, p. 121-137 27 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
- Published
From simulation to real-world robotic mobile fulfillment systems
Xie, L., Thieme, N. & Li, H., 12.2019, In: Logistics Research. 12, 1, 13 p., 9.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
From Ideation to Realization: Essential Steps and Activities for Realizing Data-Driven Business Models
Lange, H. & Drews, P., 06.2020, Proceedings - 2020 IEEE 22nd Conference on Business Informatics, CBI 2020: Proceedings, Antwerp, Belgium 22-24 June 2020, Volume 2 – Research-in-Progress and Workshop Papers. Guedria, W., Proper, H. A., Verelst, J., Hacks, S., Timm, F., Sandkuhl, K., Fellmann, M., da Silva Serapiao Leal, G., Payan, M., Komarov, M., Maltseva, S., Uskenbayeva, R., Nazarov, D., Ge, M., Helfert, M. & Ehrlinger, L. (eds.). Los Alamitos: IEEE - Institute of Electrical and Electronics Engineers Inc., Vol. 2. p. 20-29 10 p. 9140222. (IEEE ... Conference on Business Informatics; vol. 2).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
From Enterprise Architecture to Business Ecosystem Architecture: Stages and challenges for extending architectures beyond organizational boundaries
Drews, P. & Schirmer, I., 02.12.2014, Proceedings - IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, EDOCW 2014. Halle, S., Rinderle-Ma, S., Grossmann, G., Reichert, M., Karastoyanova, D., Reichert, M., Rinderle-Ma, S. & Grossmann, G. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 13-22 10 p. 6975336. (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Freie Pizzawahl für Informatiker und Wirtschaftsinformatiker: Didaktische Herausforderungen für Informatik und Wirtschaftsinformatik angesichts der digitalen Gesellschaft
Rolf, A., Möller, A., Funk, B. & Niemeyer, P., 02.2013, In: Informatik-Spektrum. 36, 1, p. 90-98 9 p.Research output: Journal contributions › Journal articles › Education › peer-review
- Published
Frame-based Optimal Design
Mair, S., Rudolph, Y., Closius, V. & Brefeld, U., 23.01.2019, Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham: Springer Nature AG, Vol. 2. p. 447-463 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11052 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Frame-based Data Factorizations
Mair, S., Boubekki, A. & Brefeld, U., 25.07.2017, 34th International Conference on Machine Learning, ICML 2017. Precup, D. & Teh, Y. W. (eds.). Red Hook: Curran Associates, p. 2305-2313 9 p. (Proceedings of Machine Learning Research; vol. 70).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Fostering Inclusivity – Towards Principles for Inclusive Information Systems Design
Vimalan, N., Zimmer, M. P. & Drews, P., 2024, Wirtschaftsinformatik 2024 Proceedings. Flath, C. M., Gust, G., Thiesse, F. & Winkelmann, A. (eds.). The Association for Information Systems (AIS), 15 p. 85Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review