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).
- 2024
- Published
Entity Linking with Out-of-Knowledge-Graph Entity Detection and Clustering Using Only Knowledge Graphs
Möller, C. & Usbeck, R., 11.09.2024, Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI- : Proceedings of the 20th International Conference on Semantic Systems, 17-19 September 2024, Amsterdam, The Netherlands. Salatino, A. A., Alam, M., Ongenae, F., Vahdati, S., Gentile, A. L., Pellegrini, T. & Jiang, S. (eds.). Amsterdam: IOS Press BV, p. 88-105 18 p. (Studies on the Semantic Web; vol. 60).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Digitale Kontaktnachverfolgung bei Infektionskrankheiten: Projektstudie ZIL-Kontakt
Drews, P., Funk, B., Heger, J., Lehr, D., Zimmer, M. P. & Lemmer, K., 22.08.2024, Lüneburg: Leuphana Universität Lüneburg, 25 p.Research output: Working paper › Project reports › Transfer
- Published
TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering
Sakhovskiy, A., Salnikov, M., Nikishina, I., Usmanova, A., Kraft, A., Möller, C., Banerjee, D., Huang, J., Jiang, L., Abdullah, R., Yan, X., Ustalov, D., Tutubalina, E., Usbeck, R. & Panchenko, A., 01.08.2024, Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing: Graph-Based Methods for Natural Language Processing, 62nd Annual Meeting of the Association of Computational Linguistics. Ustalov, D., Gao, Y., Pachenko, A., Tutubalina, E., Nikishina, I., Ramesh, A., Sakhovskiy, A., Usbeck, R., Penn, G. & Valentino, M. (eds.). Kerrville: Association for Computational Linguistics (ACL), p. 116-125 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Value-Sensitive Digital Social Innovations for Marginalized Individuals: Towards a Research Agenda
Gebken, L., Schirmer, I., Simon, J. & Drews, P., 01.08.2024, In: Academy of Management Proceedings. 2024, 1Research output: Journal contributions › Conference abstract in journal › Research › peer-review
- Published
Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI
Kraft, A. & Soulier, E., 03.06.2024, 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024. Association for Computing Machinery, Inc, p. 1433-1445 13 p. (2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Neural Combinatorial Optimization on Heterogeneous Graphs: An Application to the Picker Routing Problem in Mixed-Shelves Warehouses
Luttmann, L. & Xie, L., 30.05.2024, In: Proceedings International Conference on Automated Planning and Scheduling, ICAPS. 34, p. 351-359 9 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- E-pub ahead of print
Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions
Zantvoort, K., Hentati Isacsson, N., Funk, B. & Kaldo, V., 15.05.2024, (E-pub ahead of print) In: Digital Health. 10, 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Event Extraction Alone Is Not Enough
Huang, J., Jiang, L., Möller, C. & Usbeck, R., 05.2024, Narrative Extraction From Texts 2024: Proceedings of Text2Story — Seventh Workshop on Narrative Extraction From Texts held in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024). Campos, R., Jorge, A. M., Jatowt, A., Bhatia, S. & Litvak, M. (eds.). Aachen: Rheinisch-Westfaelische Technische Hochschule Aachen, Vol. 3671. p. 105-114 10 p. (CEUR Workshop Proceedings; vol. 3671).Research output: Contributions to collected editions/works › Conference contribution › peer-review
- Submitted
Studying properties of water data using manifold-aware anomaly detectors
Paulsen, T. & Brefeld, U., 23.04.2024, (Submitted) Design of Cyber-Secure Water Plants. Mathur, A., Zhou, J. & Raman, G. (eds.). MDPI AG, (Water).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data
Amangeldi, D., Usmanova, A. & Shamoi, P., 07.03.2024, In: IEEE Access. 12, p. 33504-33523 20 p.Research output: Journal contributions › Journal articles › Research › peer-review