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. 2018
  2. Published

    Exploiting ConvNet diversity for flooding identification

    Nogueira, K., Fadel, S. G., Dourado, I. C., De Werneck, R. O., Munoz, J. A. V., Penatti, O. A. B., Calumby, R. T., Li, L. T., Dos Santos, J. A. & Torres, R. D. S., 09.2018, In: IEEE Geoscience and Remote Sensing Letters. 15, 9, p. 1446-1450 5 p., 8398414.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Published

    Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis

    Bremer, V., Becker, D., Kolovos, S., Funk, B., van Breda, W., Hoogendoorn, M. & Riper, H., 21.08.2018, In: Journal of Medical Internet Research. 20, 8, 11 p., e10275.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    Adaptive Item Selection Under Matroid Constraints

    Bengs, D., Brefeld, U. & Kröhne, U., 07.08.2018, In: Journal of Computerized Adaptive Testing. 6, 2, p. 15-36 22 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Published

    Towards an Extended Enterprise Architecture Meta-Model for Big Data: A Literature-based Approach

    Burmeister, F., Drews, P. & Schirmer, I., 08.2018, Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018. Association for Information Systems, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2018).

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

  6. Published
  7. Published

    Predicting Therapy Success For Treatment as Usual and Blended Treatment in the Domain of Depression

    van Breda, W. R. J., Bremer, V., Becker, D., Funk, B., Ruwaard, J. & Riper, H., 01.06.2018, In: Internet Interventions. 12, p. 100-104 5 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Predictive modeling in e-mental health: A common language framework

    Becker, D., van Breda, W., Funk, B., Hoogendoorn, M., Ruwaard, J. & Riper, H., 01.06.2018, In: Internet Interventions. 12, Juni 2018, p. 57-67 11 p.

    Research output: Journal contributionsScientific review articlesResearch

  9. Published

    Der Interne Zins: Ein problematisches Renditemaß bei geschlossenen Fonds?

    Tiedemann, L. & Weinrich, G., 28.05.2018, In: Corporate Finance. 2018, 05-06, p. 142-151 10 p., CF1263171.

    Research output: Journal contributionsJournal articlesTransferpeer-review

  10. Published

    Distributed robust Gaussian Process regression

    Mair, S. & Brefeld, U., 01.05.2018, In: Knowledge and Information Systems. 55, 2, p. 415-435 21 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  11. Published

    Web-based intervention for depressive symptoms in adults with types 1 and 2 diabetes mellitus: a health economic evaluation

    Nobis, S., Ebert, D. D., Lehr, D., Smit, F., Buntrock, C., Berking, M., Baumeister, H., Snoek, F., Funk, B. & Riper, H., 04.2018, In: The British Journal of Psychiatry. 212, 4, p. 199-206 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review