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).
- 2019
- Published
Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics
Lommel, L., Riebeling, M., Funk, B. & Junginger, C., 2019, Human Practice. Digital Ecologies. Our Future: 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Tagungsband . Ludwig, T. & Pipek, V. (eds.). Siegen: Universitätsverlag Siegen, p. 453-467 15 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 2018
- Published
RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems
Merschformann, M., Xie, L. & Li, H., 12.2018, In: Logistics Research. 11, 1, 11 p., 8.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Herausforderungen in der Wirtschaftsprüfung durch den Einsatz von Big Data-Technologien: Welche Impulse muss die Prüfungsforschung geben?
Velte, P. & Drews, P., 26.10.2018, In: Der Betrieb. 71, 43, p. 2581-2585 5 p.Research output: Journal contributions › Journal articles › Transfer
- Published
MDP-based itinerary recommendation using geo-tagged social media
Gaonkar, R., Tavakol, M. & Brefeld, U., 25.10.2018, Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, Proceedings. Duivesteijn, W., Siebes, A. & Ukkonen, A. (eds.). Basel: Springer Nature AG, p. 111-123 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); no. 11191).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Deterministic Pod Repositioning in Robotic Mobile Fulfillment Systems
Krenzler, R., Xie, L. & Li, H., 09.10.2018, 37 p. (ArXiv.org).Research output: Working paper › Working papers
- 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 contributions › Journal articles › Research › peer-review
- 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 contributions › Journal articles › Research › peer-review
- 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 contributions › Journal articles › 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
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