Institute of Information Systems
Organisational unit: Institute
- 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
- 2025
- Accepted/In press
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., 2025, (Accepted/In press) Proceedings of HICSS 2025. 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Accepted/In press
Overcoming Multi-legacy Application Challenges through Building Dynamic Capabilities for Adopting Low-code
Naqvi, S. A. A., Zimmer, M. P., Rehan, S., Drews, P. & Basole, R. C., 2025, (Accepted/In press) Proceedings of HICSS 2025. 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Accepted/In press
Shifting Competency Requirements for IT Professionals in the Digital Transformation: A Competency Transformation Process Model
Pieczurczyk, S. & Drews, P., 2025, (Accepted/In press) Proceedings of HICSS 2025. 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Accepted/In press
Understanding Partnering Strategies in the Low-Code Platform Ecosystem
Naqvi, S. A. A., Zimmer, M. P., Drews, P. & Basole, R. C., 2025, (Accepted/In press) Proceedings of HICSS 2025. 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 2024
- Published
Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing
Hornstein, S., Scharfenberger, J., Lueken, U., Wundrack, R. & Hilbert, K., 12.2024, In: npj Digital Medicine. 7, 1, 9 p., 132.Research output: Journal contributions › Journal articles › Research › peer-review
- E-pub ahead of print
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., Vallianatou, K., Funk, B., Whiskey, E. & Taylor, D., 16.08.2024, (E-pub ahead of print) In: The British Journal of Psychiatry. 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
- 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. 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
- E-pub ahead of print
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., 10.06.2024, (E-pub ahead of print) In: Biological Psychiatry. 13 p.Research output: Journal contributions › Scientific review articles › Research
- 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