The data science lab at LMU Munich: Leveraging knowledge transfer, implementing collaborative projects, and promoting future data science talents

1Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, we describe the newly established Data Science Lab at the Ludwig-Maximilians- Universität Munich (DSLatLMU) and its particular role as an interface between academia and industry. Initially co-funded by the Siemens AG, theDSLatDBS is open for innovative corporate partners and offers a platform for various joint activities between academia and industry. The DSL@LMU provides the following advantages to its corporate partners: Partners gain access to cutting-edge know how in analyzing data. Furthermore, the DSLatLMU provides connections to a worldwide academic network of top researchers in the area of Data Science. Collaborating with DSLatLMU offers a strong visibility among academia and industry. To bring the most recent research into practical use, joint research projects allow to develop specific solution for the use cases of the corporate partners of the DSLatLMU. Finally, the DSLatLMU serves to connect companies to the highly talented students from the new elite master's program "Master of Data Science" at the LMU Munich. To illustrate the collaboration between the DSLatLMU with industrial partners, we describe the results of recent research projects at DSLatLMU that were conducted in collaboration with partners from industry. These projects exemplarily show how academia and industry can team up to transform cutting-edge research into innovative products.

Cite

CITATION STYLE

APA

Seidl, T., Kröger, P., Emrich, T., Schubert, M., Jossé, G., & Richter, F. (2017). The data science lab at LMU Munich: Leveraging knowledge transfer, implementing collaborative projects, and promoting future data science talents. In Digital Marketplaces Unleashed (pp. 549–556). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-49275-8_49

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free