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
- 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
Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT
Hentati Isacsson, N., Zantvoort, K., Forsell, E., Boman, M. & Kaldo, V., 12.2024, In: Internet Interventions. 38, 8 p., 100773.Research output: Journal contributions › Journal articles › Research › peer-review
- 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
- 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
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
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