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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D2R2 2024: Linked Data-driven Resilience Research 2024: Proceedings of the Third International Workshop on Linked Data-driven Resilience Research (D2R2'24) co-located with European Semantic Web Conference 2024 (ESWC 2024), May 27, 2024
Holze, J. (Editor), Tramp, S. (Editor), Martin, M. (Editor), Auer, S. (Editor), Usbeck, R. (Editor) & Krdzavac, N. (Editor), 2024, Aachen: Rheinisch-Westfaelische Technische Hochschule Aachen. (CEUR Workshop Proceedings; vol. 3707)Research output: Books and anthologies › Conference proceedings › Research
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DASC-PM v1.1: A Process Model for Data Science Projects
Schulz, M., Neuhaus, U., Kaufmann, J., Kühnel, S., Alekozai, E. M., Rohde, H., Hoseini, S., Theuerkauf, R., Badura, D., Kerzel, U., Lanquillon, C., Daurer, S., Günther, M., Huber, L., Thiée, L.-W., Heiden, P. Z., Passlick, J., Dieckmann, J., Schwade, F., Seyffarth, T., Badewitz, W., Rissler, R., Sackmann, S., Gölzer, P., Welter, F., Röth, J., Seidelmann, J. & Haneke, U., 03.2022, Elmshorn: NORDAKADEMIE gAG Hochschule der Wirtschaft. 89 p.Research output: Books and anthologies › Monographs › Research
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Das Gesamtprojekt "Internes Rating" des Bank-Verlags - Eine Betrachtung aus der Sicht kleiner und mittelständischer Banken
Dartsch, A. & Weinrich, G., 2001, Auf dem Weg zu Basel II: Konzepte, Modelle, Meinungen. Hofmann, G. (ed.). Frankfurt am Main: Bankakademie Verlag, p. 123-137 15 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
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Das objektorientierte Konstruktionshandbuch: nach dem Werkzeug & Material-Ansatz
Züllighoven, H., Bleek, W.-G., Gryczan, G., Krabbel, A., Lilienthal, C., Roock, S., Strunk, W., Wetzel, I., Wolf, H., Slotos, T., Weske, D., Wiegand, F., Bürkle, U., Dörre, I., Franz, M., Hess, J., Knoll, R., Rieth, P., Siberski, W., Bäumer, D., Megert, D., Riehle, D. & Wulf, M., 1998, Heidelberg: dpunkt.verlag. 698 p. (dpunkt-Lehrbuch)Research output: Books and anthologies › Book
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Data-driven analyses of electronic text books
Boubekki, A., Kröhne, U., Goldhammer, F., Schreiber, W. & Brefeld, U., 2016, Solving large scale learning tasks: Challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday. Michaelis, S., Piatkowski, N. & Stolpe, M. (eds.). Cham: Springer International Publishing, p. 362-376 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9580).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
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Data practices in apps from Brazil: What do privacy policies inform us about?
Quadros dos Reis, V., Rabello, M. E. R., Lima, A. C., Jardim, G. P. S., Fernandes, E. R. & Brefeld, U., 10.02.2023, In: Journal on Interactive Systems. 14, 1, p. 1-8 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
- E-pub ahead of print
Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions
Zantvoort, K., Hentati Isacsson, N., Funk, B. & Kaldo, V., 15.05.2024, (E-pub ahead of print) In: Digital Health. 10, 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Datengetriebene Agilität: Auf der Erfolgsspur zur Digitalen Exzellenz
Böhmann, T., Drews, P. & Zolnowski, A., 2016, Hamburg: Sopra Steria Consulting, 40 p.Research output: Working paper › Project reports › Transfer
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Datenkompetenzen in Kooperationen fördern
Funk, B. & Wuppermann, M., 01.2019, In: DUZ Wissenschaft & Management. 2, 1, p. 26-29 4 p.Research output: Journal contributions › Journal articles › Transfer › peer-review
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Datenmodellierung mit dem Entity-Relationship-Ansatz
Jacobs, J., 05.1996, Lüneburg: Universität Lüneburg, 49 p. (Final; vol. 6, no. 3).Research output: Working paper › Working papers