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
Identifying clinically relevant agranulocytosis in people registered on the UK clozapine Central Non-Rechallenge Database: retrospective cohort study
Oloyede, E., Bachmann, C. J., Dzahini, O., Lopez Alcaraz, J. M., Singh, S. D., Vallianatu, K., Funk, B., Whiskey, E. & Taylor, D., 11.2024, In: The British Journal of Psychiatry. 225, 5, p. 484-491 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
A Universal Digital Stress Management Intervention for Employees: Randomized Controlled Trial with Health-Economic Evaluation
Freund, J., Smit, F., Lehr, D., Zarski, A. C., Berking, M., Riper, H., Funk, B., Ebert, D. D. & Buntrock, C., 22.10.2024, In: Journal of Medical Internet Research. 26, 13 p., e48481.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Bridging the Gap: Generating a Comprehensive Biomedical Knowledge Graph Question Answering Dataset
Yan, X., Westphal, P., Seliger, J. & Usbeck, R., 16.10.2024, ECAI 2024 : 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain; including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Proceedings. Endriss, U., Melo, F. S., Bach, K., Diz, A. J. B., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). Amsterdam: IOS Press BV, p. 1198-1205 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations: A Systematic Review
Ciharova, M., Amarti, K., van Breda, W., Peng, X., Lorente-Català, R., Funk, B., Hoogendoorn, M., Koutsouleris, N., Fusar-Poli, P., Karyotaki, E., Cuijpers, P. & Riper, H., 01.10.2024, In: Biological Psychiatry. 96, 7, p. 519-531 13 p.Research output: Journal contributions › Scientific review articles › Research
- Published
Revisiting the richness of integrated vehicle and crew scheduling
Ge, L., Kliewer, N., Nourmohammadzadeh, A., Voß, S. & Xie, L., 10.2024, In: Public Transport. 16, 3, p. 775-801 27 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Ablation Study of a Multimodal Gat Network on Perfect Synthetic and Real-world Data to Investigate the Influence of Language Models in Invoice Recognition
Thiée, L. W., 11.09.2024, Document Analysis and Recognition – ICDAR 2024 Workshops: Athens, Greece, August 30–31, 2024 Proceedings, Part II. Mouchère, H. & Zhu, A. (eds.). Cham: Springer Nature AG, Vol. 2. p. 199-212 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14936)(Document analysis and recognition - ICDAR 2024 workshops ; vol. 2).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 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