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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Modellierung und Implementierung eines Order2Cash-Prozesses in verteilten Systemen
Funk, B., Niemeyer, P., Rautenstrauch, C., Scheruhn, H.-J. & Weidner, S., 2008, Multikonferenz Wirtschaftsinformatik 2008. Bichler, M. (ed.). GITO mbH Verlag, Vol. Abstracts. p. 425 - 426 2 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Modelle und Verfahren zur Beschreibung des Systemverhaltens von Rechnernetzen
Hoffmann, U., 10.1984, In: Angewandte Informatik. 26, 10, p. 410-416 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Modeling the Quarter-Vehicle: Use of Passive Sensor Data for Road Condition Monitoring
Kortmann, F., Horstkötter, J., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 15.07.2021, In: IEEE Sensors Journal. 21, 14, p. 15535-15543 9 p., 9281332.Research output: Journal contributions › Journal articles › Research › peer-review
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Modeling the Intention to Use Carbon Footprint Apps
Sagawe, A., Funk, B. & Niemeyer, P., 05.02.2016, Information Technology in Environmental Engineering: Proceedings of the 7th International Conference on Information Technologies in Environmental Engineering (ITEE2015). Gómez, J. M. & Scholtz, B. (eds.). Springer Verlag, p. 139-150 12 p. (Springer Proceedings in Business and Economics).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Modeling the C(o)urse of Privacy-critical Location-based Services: Exposing Dark Side Archetypes of Location Tracking
Burmeister, F., Drews, P. & Schirmer, I., 01.01.2021, Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 6651-6660 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2020-January).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Modeling Conditional Dependencies in Multiagent Trajectories
Rudolph, Y. & Brefeld, U., 2022, In: Proceedings of Machine Learning Research. 151, p. 10518-10533 16 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
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Mining User-Generated Financial Content to Predict Stock Price Movements
Mastel, A. & Jacobs, J., 12.2012, Lüneburg: Universität Lüneburg, 42 p. (FInAL; vol. 22, no. 1).Research output: Working paper › Working papers
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Mining for critical stock price movements using temporal power laws and integrated autoregressive models
Jacobs, J., 2014, In: International Journal of Information and Decision Sciences. 6, 3, p. 211 - 225 15 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Mining Disease Courses across Organizations: A Methodology Based on Process Mining of Diagnosis Events Datasets
de Toledo, P., Joppien, C., Paz Sesmero, M. & Drews, P., 01.07.2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 354-357 4 p. 8857149. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Metrics for Experimentation Programs: Categories, Benefits and Challenges
Stotz, N. & Drews, P., 2025, Agile Processes in Software Engineering and Extreme Programming: 26th International Conference on Agile Software Development, XP 2025, Brugg-Windisch, Switzerland, June 2–5, 2025, Proceedings. Peter, S., Kropp, M., Aguiar, A., Anslow, C., Lunesu, M. I. & Pinna, A. (eds.). Cham: Springer Nature, p. 210-225 16 p. ( Lecture Notes in Business Information Processing; vol. 545).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review