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
Automated Invoice Processing: Machine Learning-Based Information Extraction for Long Tail Suppliers
Krieger, F., Drews, P. & Funk, B., 01.11.2023, In: Intelligent Systems with Applications. 20, 14 p., 200285.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie: Eine strukturierte Literaturanalyse auf der Grundlage des Business Model Canvas
Schmidt, J. & Drews, P., 2016, Multikonferenz Wirtschaftsinformatik (MKWI) 2016 . Nissen, V., Stelzer, D., Straßburger, S. & Fischer, D. (eds.). Universitätsverlag Ilmenau - ilmedia, Vol. II. p. 967-978 12 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie
Schmidt, J. & Drews, P., 2016, In: Banking and Information Technology. 17, 1, p. 9-18 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Aussagekraft von Ratings und Prospektinformationen für geschlossene Immobilienfonds: eine empirische Studie
Jacobs, J., 06.2014, Risikoerkennung bei geschlossenen Fonds. Hoffmann, U. (ed.). Lüneburg: Universität Lüneburg, p. 2-14 13 p. (FInAL; vol. 24, no. 1).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
- Published
Ausgewählte Kapitel der Theoretischen Informatik
Hoffmann, U., 2007, Lüneburg: Universität Lüneburg, 313 p. (Final; vol. 12, no. 3).Research output: Working paper › Working papers
- Published
Ausgewählte Kapitel der Theoretischen Informatik
Hoffmann, U., 2008, 1. ed., Lüneburg: Universität Lüneburg, 350 p. (Final).Research output: Working paper › Working papers
- Published
Ausgewählte Kapitel der Theoretischen Informatik
Hoffmann, U., 2003, Lüneburg: Universität Lüneburg, 262 p. (Final).Research output: Working paper › Working papers
- Published
Ausgewählte Kapitel der Theoretischen Informatik
Hoffmann, U., 08.2002, Lüneburg: Universität Lüneburg, 255 p. (Final; vol. 12, no. 3).Research output: Working paper › Working papers
- Published
A Universal Digital Stress Management Intervention for Employees: Randomized Controlled Trial with Health-Economic Evaluation
Freund, J., Smit, F., Lehr, D., Zarski, A. C., Berking, M., Riper, H., Funk, B., Ebert, D. D. & Buntrock, C., 22.10.2024, In: Journal of Medical Internet Research. 26, 13 p., e48481.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations
Tavakol, M. & Brefeld, U., 30.12.2017, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017 Skopje, Macedonia, September 18 – 22, 2017; Proceedings, Part II. Ceci, M., Hollmen, J., Todorovski, L., Vens, C. & Dzeroski, S. (eds.). Springer, Vol. 2. p. 269-284 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10535 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review