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
Coresets for Archetypal Analysis
Mair, S. & Brefeld, U., 2020, 32rd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019. Wallach, H. & Larochelle, H. (eds.). Red Hook: Curran Associates, Vol. 10. p. 7215-7223 9 p. (Advances in neural information processing systems; vol. 32).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Convolutional Neural Networks
Rudolph, Y. & Brefeld, U., 01.01.2023, Sportinformatik: Modellbildung, Simulation, Datenanalyse und Visualisierung von sportbezogenen Daten. Memmert, D. (ed.). Berlin: Springer Spektrum, p. 207-215 9 p.Research output: Contributions to collected editions/works › Chapter
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Conveying the Ethics of Artificial Intelligence in K–12 and Academia: A Systematic Review of Teaching Methods
Tschoppe, N. J., Katsarov, J., Drews, P. & Trittin-Ulbrich, H., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences: Hilton Waikoloa Village, January 7-10, 2025. Bui, T. X. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 4744-4753 10 p. (Hawaii International Conference on System Sciences (HICSS); vol. 2025).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Controllinggerechtes Geschäftsprozessmanagement
Piechota, S., 2003, In: Controlling & Finance. 6, p. 4-5 2 p.Research output: Journal contributions › Journal articles › Research
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Controlling dezentraler Strukturen in globalen Unternehmen
Piechota, S., 1998, Controlling-Praxis erfolgreicher Unternehmen: Von den Besten lernen. Borszcz, A. & Piechota, S. (eds.). 1 ed. Wiesbaden: Dr. Gabler Verlag, p. 149-173 25 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
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Continous preventive diagnosis for cardiovascular diseases based on stochastic modeling
Busch, B.-H. & Welge, R., 2011, In: International Journal on Computer and Industrial Management Applications. 3, p. 646-654 9 p.Research output: Journal contributions › Journal articles › Research › peer-review
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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
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Consumer Online Search Behavior: A Cross-Industry Analysis Based on User-Level Data
Nottorf, F., Mastel, A. & Funk, B., 2014, E-Business and Telecommunications: International Joint Conference, ICETE 2012. Rome, Italy, July 24–27, 2012, Revised Selected Papers. Obaidat, M. S. & Filipe, J. (eds.). Heidelberg: Springer, p. 72-87 16 p. (Communications in Computer and Information Science; vol. 455).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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
- Published
Constrained Independence for Detecting Interesting Patterns
Delacroix, T., Boubekki, A., Lenca, P. & Lallich, S., 02.12.2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Pasi, G., Kwok, J., Zaiane, O., Gallinari, P., Gaussier, E. & Cao, L. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., 10 p. 7344897. (Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review