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
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
- Published
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 Hawaiʻi at Mānoa, 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
- Published
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 Hawaiʻi at Mānoa, 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
- Published
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, 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
- Published
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, 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
- Published
Simulated annealing approach to nurse rostering benchmark and real-world instances
Knust, F. & Xie, L., 01.01.2019, In: Annals of Operations Research. 272, 1-2, p. 187-216 30 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
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
- Published
Agile Portfolio Management: Design Goals and Principles
Horlach, B., Schirmer, I. & Drews, P., 2019, Proceedings of the 27th European Conference on Information Systems (ECIS) 2019. vom Brocke, J., Gregor, S. & Müller, O. (eds.). Stockholm, Sweden: Association for Information Systems, 17 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
An Ecosystem Architecture Meta-Model for Supporting Ultra-Large Scale Digital Transformations
Burmeister, F., Drews, P. & Schirmer, I., 2019, 25th Americas Conference on Information Systems, AMCIS 2019: Cancún, Mexico, August 15-17, 2019. Atlanta: Association for Information Systems, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2019).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
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 AG, 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
- Published
DISKNET – A Platform for the Systematic Accumulation of Knowledge in IS Research
Dann, D., Maedche, A., Teubner, T., Mueller, B., Meske, C. & Funk, B., 2019, ICIS 2019 Proceedings: IS research methods, theorizing and philosophy of science. Association for Information Systems, 9 p. Paper ID 2785. (40th International Conference on Information Systems, ICIS 2019).Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
- Published
Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems
Xie, L., Thieme, N., Krenzler, R. & Li, H., 2019, 31 p.Research output: Working paper › Working papers
- Published
Innovationen in der Wissensvermittlung
Groß, M., 2019, In: HR Performance. 6, p. 12-15 4 p.Research output: Journal contributions › Journal articles › Transfer
- Published
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. 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
- 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