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).
- 2025
 - Published
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 Hawaii at Manoa, 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
 - Published
Overcoming Multi-legacy Application Challenges through Building Dynamic Capabilities for Low-Code Adoption
Naqvi, S. A. A., Zimmer, M. P., Rehan, S., Drews, P. & Basole, R. C., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025: Hilton Waikoloa Village, January 7-10, 2025. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 7503-7512 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
 - Published
Shifting Competency Requirements for IT Professionals in the Digital Transformation: A Competency Transformation Process Model
Pieczurczyk, S. & Drews, P., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025: Hilton Waikoloa Village, January 7-10, 2025. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 4789-4798 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
 - Published
Understanding Partnering Strategies in the Low-Code Platform Ecosystem
Naqvi, S. A. A., Zimmer, M. P., Drews, P. & Basole, R. C., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025: Hilton Waikoloa Village, January 7-10, 2025. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 6226-6235 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
 - Published
Interactive sequential generative models for team sports
Fassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.Research output: Journal contributions › Journal articles › Research › peer-review
 - Published
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
 - Published
Junior fellows and distinguished dissertation of the GI and AI for crisis
Usbeck, R., Kraft, A. & Westphal, P., 01.02.2025, In: IT - Information Technology. 67, 1, p. 1-2 2 p.Research output: Journal contributions › Other (editorial matter etc.) › Research
 - Published
SH-CoDE: Scholarly Hybrid Complex Question Decomposition and Execution
Taffa, T. A. & Usbeck, R., 05.02.2025, Proceedings - 2025 19th International Conference on Semantic Computing, ICSC 2025: ICSC 2025, Laguna Hills, CA, USA, 3-5 February 2025; Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 128-135 8 p. 11036317. (Proceedings - IEEE International Conference on Semantic Computing, ICSC).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
 - Published
Knowledge Graph Question Answering and Large Language Models
Banerjee, D., Hu, N., Tan, Y., Min, D., Wu, Y., Usbeck, R. & Qi, G., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 466-531 66 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).Research output: Contributions to collected editions/works › Chapter
 - Published
Neuro-Symbolic Relation Extraction
Yan, X., Usmanova, A., Möller, C., Westphal, P. & Usbeck, R., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 550-576 27 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).Research output: Contributions to collected editions/works › Chapter
 
