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).
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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
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Masked Autoencoder Pretraining for Event Classification in Elite Soccer
Rudolph, Y. & Brefeld, U., 26.02.2024, Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Revised Selected Papers. Brefeld, U., Davis, J., Van Haaren, J. & Zimmermann, A. (eds.). Cham: Springer Nature Switzerland AG, p. 24-35 12 p. (Communications in Computer and Information Science; vol. 2035).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Master of Disaster: A Disaster-Related Event Monitoring System From News Streams
Huang, J. & Usbeck, R., 2024Research output: other publications › Other › Research
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Mathematik 1
Hoffmann, U., 2003, Lüneburg: Universität Lüneburg, 165 p. (Forum Informatics at Leuphana - Final; vol. 13, no. 3).Research output: Working paper › Working papers
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Mathematik 1
Riebesehl, D., 2003, Lüneburg: Universität Lüneburg, 125 p. (Final; vol. 13, no. 2).Research output: Working paper › Working papers
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Mathematik für Wirtschaftsinformatik
Hoffmann, U., 2013, Lüneburg: Universität Lüneburg, 401 p. (FINAL; vol. 23, no. 1).Research output: Working paper › Working papers
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Mathematik für Wirtschaftsinformatiker & Übungen
Hoffmann, U., 2005, Lüneburg: Universität Lüneburg, 242 p. (FINAL - Forum Informatics at Lüneburg; vol. 15, no. 1).Research output: Working paper › Working papers
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Mathematik für Wirtschaftsinformatiker und Informatiker: [& Übungen]
Hoffmann, U., 2007, Lüneburg: Universität Lüneburg, 346 p. (Final; vol. 23, no. 1).Research output: Working paper › Working papers
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MDP-based itinerary recommendation using geo-tagged social media
Gaonkar, R., Tavakol, M. & Brefeld, U., 25.10.2018, Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, Proceedings. Duivesteijn, W., Siebes, A. & Ukkonen, A. (eds.). Basel: Springer Nature, p. 111-123 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); no. 11191).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Measuring the Speed of Information Technology in Enterprises: A Systematic Literature Review
Kanin, O. & Drews, P., 2024, PACIS 2024 Proceedings: Digital Transformation and Change Management. Duan, S., Phuong Hoang, E. & Kar, A. K. (eds.). Atlanta: The Association for Information Systems (AIS), 17 p. 8Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review