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).
- Published
Evaluation of a temporal causal model for predicting the mood of clients in an online therapy
Becker, D., Bremer, V., Funk, B., Hoogendoorn, M., Rocha, A. & Riper, H., 11.02.2020, In: BMJ mental health. 23, 1, p. 27-33 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Evaluating OWL 2 reasoners in the context of checking entity-relationship diagrams during software development
Kropotin, A. A., 2014, In: CEUR Workshop Proceedings. 1207, p. 44-50 7 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Evaluating one-shot tournament predictions
Ekstrom, C. T., Van Eetvelde, H., Ley, C. & Brefeld, U., 05.04.2021, In: Journal of Sports Analytics. 7, 1, p. 37-46 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Evaluating a hybrid web-based training program for panic disorder and agoraphobia: Randomized controlled trial
Ebenfeld, L., Lehr, D., Ebert, D. D., Stegemann, S. K., Riper, H., Funk, B. & Berking, M., 04.03.2021, In: Journal of Medical Internet Research. 23, 3, 14 p., e20829.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
European COMPARative Effectiveness research on blended Depression treatment versus treatment-as-usual (E-COMPARED): Study protocol for a randomized controlled, non-inferiority trial in eight European countries
Kleiboer, A., Smit, J., Bosmans, J., Ruwaard, J., Andersson, G., Topooco, N., Berger, T., Krieger, T., Botella, C. M., Banos Rivera, R. M., Chevreul, K., Araya, R., Cerga-Pashoja, A., Cieslak, R., Rogala, A., Vis, C., Draisma, S., van Schaik, D. J., Kemmeren, L., Ebert, D. D., Berking, M., Funk, B., Cuijpers, P. & Riper, H., 03.08.2016, In: Trials. 17, 1, 10 p., 387.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions
Zantvoort, K., Nacke, B., Görlich, D., Hornstein, S., Jacobi, C. & Funk, B., 12.2024, In: npj Digital Medicine. 7, 1, 10 p., 361.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Erfolgsstrategien zur Gestaltung von Innovationsprozessen: eine empirische Analyse mittelständischer Innovationssysteme
Seeger, B., 01.07.2014, Wiesbaden: Springer Gabler. 253 p. (Beiträge zur Produktionswirtschaft)Research output: Books and anthologies › Book
- Published
Erfolgsbesteuerung und Risikobereitschaft bei unternehmerischen Langfristentscheidungen
Sturm, N., 09.1986, In: Zeitschrift für Betriebswirtschaft. 56, 9, p. 805-826 22 p.Research output: Journal contributions › Journal articles › Research
- Published
Erfolgreiche Business Intelligence-Projekte
Piechota, S., 2004, In: Controlling & Finance. 2, p. 3 1 p.Research output: Journal contributions › Journal articles › Research
- Published
Environmental scorecard: ein Konzept zur Unterstützung der Implementierung und Aufrechterhaltung von Umweltmanagementsystemen
Sturm, N., 2003, In: Controlling. 15, 11, p. 597-605 9 p.Research output: Journal contributions › Journal articles › Research