DASU
Transfer Centre for Digitalisation, Analytics & Data Science Ulm
Transfer Centre for Digitalisation, Analytics & Data Science Ulm
DASU – Transfer Centre for Digitalisation, Analytics & Data Science Ulm – is a foundation established in 2021 with the mission of strengthening knowledge transfer and networking between academia and businesses across the entire region and beyond, thereby pooling and repurposing resources. The aim is to establish a beacon for data-driven digitalisation – for all businesses, large and small, across all sectors!
With funding from the European Regional Development Fund (ERDF) and the Ministry of Economic Affairs, Labour and Tourism of the State of Baden-Württemberg, a central point of contact is being established for small and medium-sized enterprises seeking support in digitalisation, data science and data analysis. Through technology transfer, information and awareness-raising initiatives, and a ‘Digital Lab’, DASU makes innovative data science and AI solutions visible and applicable – across all sectors and with a practical focus.”
Contact
Sandra Zimmermann
Managing Director
Email: sandra.zimmermann(at)dasu.digital
Olgastraße 94
89073 Ulm
In 2021, more than 35 professors from all relevant disciplines at the University of Ulm (UUlm) and the Ulm University of Applied Sciences (THU), with the support of the Ulm Chamber of Industry and Commerce (IHK) Ulm, the City of Ulm and companies from the region – an interdisciplinary, application-oriented and non-university transfer institute with close links to the business community. Acting as a data science and analytics link between academia, business and society, the institute aims to make modern methods of digitalisation, data engineering, machine learning and artificial intelligence widely accessible.
Thanks to an extensive network spanning all academic fields relevant to digitalisation, analytics and data science, DASU is able to offer solutions that are both tailored to specific needs and appropriate to the subject matter. These include not only the typical disciplines such as computer science and mathematics/statistics, but also, in particular, the fields of medicine, economics and engineering, as well as numerous other specialist areas such as human factors, human-technology interaction, (digital) law and occupational psychology.