School of Management and Technology
Organisational unit: Faculty
- Institute for Auditing & Tax
- Institute for production technology and systems
- Institute of Banking, Finance & New Venture Management
- Institute of Experimental Industrial Psychology
- Institute of Information Systems
- Institute of Knowledge and Information Management
- Institute of Management, Accounting & Finance
- Institute of Management and Organization
- Institute of Marketing
- Institute of Performance Management
Organisation profile
The Faculty of Management & Technology was newly established in 2022. It is the academic home of 2.540 Bachelor and Master students as well as researchers - 45 professors and 90 research assistants -from the fields of Management, Business Informatics, Engineering and Psychology. The interrelations and collaborations between these disciplines are very important to the members of the faculty, which is expressed through the interdisciplinary degree programs as well as manifold cross-departmental research efforts.
The focus topics of the Faculty are reflected in its degree programs: 4 major and 8 minor programs at the College, 9 master's programs and 5 doctoral programs at the Graduate School, and 15 part-time programs at the Professional School provide academic training in the fields of Business Administration, Business Information Systems, Business Education, and Engineering, as well as Management and Entrepreneurship, Accounting and Finance, and Organizational Psychology.
Topics
As part of the Leuphana University of Lüneburg, a leading institution for innovative research and teaching, we inspire business and society through the fusion of management and technology as well as entrepreneurial thinking and critical reflection. We build a community for inspiring ground-breaking ideas in business and society.
We combine disciplinary strengths from the fields of management, business informatics, engineering, and psychology into a unique interdisciplinary profile that advances knowledge, entrepreneurial thinking, and responsible action in business and society.
In research, we pioneer understandings of and solutions to the core challenges of our time, such the digitalization, demographic change, and climate change. In teaching, we challenge conventional wisdom and inspire entrepreneurial thinking as well as responsible action. In business and society, we team up with local and global partners to contribute to the regional development of Northern Germany.
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Machine Vision and Navigation
Sergiyenko, O. (ed.), Flores-Fuentes, W. (ed.) & Mercorelli, P. (ed.), 30.09.2019, Cham: Springer International Publishing AG. 851 p.Research output: Books and anthologies › Book
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Machine Learning-Supported Planning of Lead Times in Job Shop Manufacturing
Kramer, K., Wagner, C. & Schmidt, M., 2020, Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems - IFIP WG 5.7 International Conference, APMS 2020, Proceedings: The Path to Digital Transformation and Innovation of Production Management Systems IFIP WG 5.7 International Conference, APMS 2020 Novi Sad, Serbia, August 30 – September 3, 2020 Proceedings, Part I. Lalic, B., Marjanovic, U., Majstorovic, V., von Cieminski, G. & Romero, D. (eds.). Cham: Springer, Vol. 1. p. 363-370 8 p. (IFIP Advances in Information and Communication Technology; vol. 591 IFIP).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data
Hoogendoorn, M. & Funk, B., 2018, 1 ed. Cham: Springer International Publishing AG. 231 p. (Cognitive Systems Monograph; vol. 35)Research output: Books and anthologies › Monographs › Research › peer-review
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Machine Learning Applications
Arndt, N., Molitor, P. & Usbeck, R., 27.08.2023, In: IT - Information Technology. 65, 4-5, p. 139-141 3 p.Research output: Journal contributions › Other (editorial matter etc.) › Research
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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. (ed.), Curry, E. (ed.), Daly, E. (ed.), MacNamee, B. (ed.), Marascu, A. (ed.), Pinelli, F. (ed.), Berlingerio, M. (ed.) & Hurley, N. (ed.), 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
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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
Brefeld, U. (ed.), Fromont, E. (ed.), Hotho, A. (ed.), Knobbe, A. (ed.), Maathuis, M. (ed.) & Robardet, C. (ed.), 2020, Cham: Springer Nature Switzerland AG. 766 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)Research output: Books and anthologies › Conference proceedings › Research
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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
Brefeld, U. (ed.), Fromont, E. (ed.), Hotho, A. (ed.), Knobbe, A. (ed.), Maathuis, M. (ed.) & Robardet, C. (ed.), 2020, Cham: Springer Nature Switzerland AG. 732 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)Research output: Books and anthologies › Conference proceedings › Research
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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III
Brefeld, U. (ed.), Fromont, E. (ed.), Hotho, A. (ed.), Knobbe, A. (ed.), Maathuis, M. (ed.) & Robardet, C. (ed.), 2020, Cham: Springer Nature Switzerland AG. 804 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)Research output: Books and anthologies › Conference proceedings › Research
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Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
Brefeld, U. (ed.), Davis, J. (ed.), Van Haaren, J. (ed.) & Zimmermann, A. (ed.), 05.04.2019, Springer Nature AG. 179 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11330 LNAI)Research output: Books and anthologies › Collected editions and anthologies › Research
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Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings
Brefeld, U. (ed.), Davis, J. (ed.), van Haaren, J. (ed.) & Zimmermann, A. (ed.), 2020, Cham: Springer International Publishing AG. 146 p. (Communications in Computer and Information Science; vol. 1324)Research output: Books and anthologies › Conference proceedings › Research