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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Foreword to applied data science, demo, and nectar tracks
Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A. & Pinelli, F., 01.01.2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings. Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A. & Pinelli, F. (eds.). Cham: Springer Verlag, Vol. 3. p. V-VI 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053).Research output: Contributions to collected editions/works › Other › Research
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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
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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings - Part III
Brefeld, U. (Editor), Curry , E. (Editor), Daly, E. (Editor), MacNamee, B. (Editor), Marascu, A. (Editor), Pinelli , F. (Editor), Berlingerio, M. (Editor) & Hurley, N. (Editor), 2019, Cham: Springer Verlag. 706 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11054 LNAI)Research output: Books and anthologies › Collected editions and anthologies › Research
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Possibilities to improve online mental health treatment: Recommendations for future research and developments
Becker, D., 01.01.2019, Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Springer Verlag, p. 91-112 22 p. (Advances in Intelligent Systems and Computing; vol. 886).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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A two-step approach for the prediction of mood levels based on diary data
Bremer, V., Becker, D., Genz, T., Funk, B. & Lehr, D., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings: European Conference, ECML PKDD 2018, Dublin, Ireland. Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M. & Hurley, N. (eds.). Cham: Springer International Publishing, p. 626-629 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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State-wide university implementation of an online platform for eating disorders screening and intervention.
Fitzsimmons-Craft, E. E., Firebaugh, M.-L., Graham, A. K., Eichen M., D., Monterubio, G., Balantekin, K. N., Karam, A. M., Seal , A., Funk, B., Taylor, C. B. & Wilfley, D., 05.2019, In: Psychological Services. 16, 2, p. 239-249 11 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data
Bremer, V., Funk, B. & Riper, H., 13.01.2019, In: Depression Research and Treatment. 2019, 9 p., 3481624.Research output: Journal contributions › Journal articles › Research › peer-review
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A Privacy-driven Enterprise Architecture Meta-Model for Supporting Compliance with the General Data Protection Regulation
Burmeister, F., Drews, P. & Schirmer, I., 01.01.2019, Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 6052-6061 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2019-January).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Enhancing the Building Information Modeling Lifecycle of Complex Structures with IoT: Phases, Capabilities and Use Cases
Gebken, L., Drews, P. & Schirmer, I., 08.01.2019, Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 5929-5938 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2019-January).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Frame-based Optimal Design
Mair, S., Rudolph, Y., Closius, V. & Brefeld, U., 23.01.2019, Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham: Springer Nature, Vol. 2. p. 447-463 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11052 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review