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).

  1. 2016
  2. Published

    Does Internet-based guided self-help for depression cause harm? An individual participant data meta-analysis on deterioration rates and its moderators in randomized controlled trials

    Ebert, D. D., Donkin, L., Andersson, G., Andrews, G., Berger, T. K., Carlbring, P., Rozental, A., Choi, I., Laferton, J. A. C., Johansson, R., Kleiboer, A., Lange, A., Lehr, D., Reins, J. A., Funk, B., Newby, J., Perini, S., Riper, H., Ruwaard, J., Sheeber, L., Snoek, F., Titov, N., Ünlü Ince, B., Van Bastelaar, K. M. P., Vernmark, K., Van Straten, A., Warmerdam, L., Salsman, N. & Cuijpers, P., 01.10.2016, In: Psychological Medicine. 46, 13, p. 2679-2693 15 p.

    Research output: Journal contributionsScientific review articlesResearch

  3. Published

    Predicting the future performance of soccer players

    Arndt, C. & Brefeld, U., 01.10.2016, In: Statistical Analysis and Data Mining. 9, 5, p. 373-382 10 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    Feature Extraction and Aggregation for Predicting the Euro 2016

    Tavakol, M., Zafartavanaelmi, H. & Brefeld, U., 09.2016, In: CEUR Workshop Proceedings. 1842, 1842, 7 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  5. 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 contributionsJournal articlesResearchpeer-review

  6. Published

    "Occupational eMental Health" in der Lehrergesundheit: Ein metaanalytisches Review zur Wirksamkeit von Online-Gesundheitstrainings bei Lehrkräften

    Lehr, D., Heber, E., Sieland, B., Hillert, A., Funk, B. & Ebert, D. D., 01.08.2016, In: Prävention und Gesundheitsförderung. 11, 3, p. 182-192 11 p.

    Research output: Journal contributionsScientific review articlesResearch

  7. Published

    How to Predict Mood? Delving into Features of Smartphone-Based Data

    Becker, D., Bremer, V., Funk, B., Asselbergs, J., Riper, H. & Ruwaard, J., 08.2016, Proceedings of the AMCIS 2016. AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2016).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  8. Published

    The Star Pattern: Representing Domain Concepts in a Uniform Way

    Slotos, T., 06.07.2016, Proceedings of the 21st European Conference on Pattern Languages of Programs, EuroPLoP 2016: Proceedings of the 21st European Conference on Pattern Languages of Programs. Association for Computing Machinery, Inc, 11 p. a8. (ACM International Conference Proceeding Series).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  9. Published

    How Big Does Big Data Need to Be?

    Stange, M. & Funk, B., 06.2016, Enterprise Big Data Engineering, Analytics, and Management. Atzmueller, M., Oussena, S. & Roth-Berghofer, T. (eds.). Hershey: Business Science Reference, p. 1-12 12 p.

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

  10. Published

    Predicting online user behavior based on Real-Time Advertising Data

    Stange, M. & Funk, B., 06.2016, Proceedings of the Twenty-Fourth Conference on Information Systems (ECIS) 2016. AIS eLibrary, 14 p. (Research Papers; no. 152).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  11. Published

    Systematisch zur (E-) Learning Excellence

    Groß, M., 06.2016, In: HR Performance. 6, p. 24-28 5 p.

    Research output: Journal contributionsJournal articlesTransfer