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).
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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 contributions › Journal articles › Research › peer-review
- Published
Investigating Factors on R estorative Sleep Quality and its Relationship with Personal Work Performance - An Analysis of Diary Data
Bremer, V., Funk, B. & Lehr, D., 24.07.2018, Cornell: PsyArXiv, 14 p.Research output: Working paper › Working papers
- Published
Supporting Diffusion of IoT Solutions Exemplified by the ChainPORT Initiative
Tesse, J., Schirmer, I., Drews, P., Saxe, S. & Baldauf, U., 2018, Proceedings of the 24th Americas Conference on Information Systems AMCIS 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/works › Article in conference proceedings › Research › peer-review
- 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/works › Article in conference proceedings › Research › peer-review
- Published
Charting the Emerging Business Ecosystem of Fintechs and Banks: Seven Types of Collaborative Business Models
Schmidt, J., Drews, P. & Schirmer, I., 2018, Twenty-Sixth European Conference on Information Systems (ECIS2018), Portsmouth,UK, 2018. Portsmouth: University of Portsmouth, 15 p. 1592. (Research Papers; vol. 104).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 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 contributions › Journal articles › Research › peer-review
- Published
Probabilistic movement models and zones of control
Brefeld, U., Lasek, J. & Mair, S., 15.01.2019, In: Machine Learning. 108, 1, p. 127-147 21 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Multikonferenz Wirtschaftsinformatik 2018: Data driven X — Turning Data into Value
Drews, P. (Editor), Funk, B. (Editor), Niemeyer, P. (Editor) & Xie, L. (Editor), 14.03.2018, Lüneburg: Institut für Wirtschaftsinformatik. 2094 p.Research output: Books and anthologies › Conference proceedings › Research
- 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 contributions › Scientific review articles › Research
- Published
The impact of partially missing communities on the reliability of centrality measures
Martin, C., 2018, Complex Networks & Their Applications VI: Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). Springer, Vol. 1. p. 41-52 12 p. (Studies in Computational Intelligence; vol. 689).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review