RIJKSUNIVERSITEIT GRONINGEN (Netherlands)

The University of Groningen is the second oldest (founded in 1614) University in the Netherlands and has enjoyed an international reputation as a dynamic and innovative centre offering high-quality teaching and research, being included currently in or around the top 100 on several influential ranking lists. It comprises 11 faculties and over 6,000 FTE staff and has over 30,000 students with a very strong international composition. A unique trait of the University of Groningen is the close relationship between its faculties for natural sciences, social sciences, and engineering. This allows it to operate in a comprehensive interdisciplinary environment working on the theme smart industries to include advanced production processes, agile demand-driven manufacturing, embedded intelligence, and technology-driven business innovation. RUG has a holistic perspective on the application and role of the AI in multiple fields, as demonstrated by its Bernoulli Institute (https://www.rug.nl/research/bernoulli) where all its faculties are represented, positioning the University strongly within the Dutch AI coalition (https://nlaic.com).
The Faculty of Economics and Business conducts strategic research which contributes towards five societally relevant themes on which we work interdisciplinary.

Healthy Society
- Digitalization and Artificial Intelligence
- Leadership and Governance
- Future Prosperity and Sustainability
- Energy Transition and Climate Change
These themes are embedded in the contents and outcomes of our education, research and collaborations, to further enhance the impact on emerging societal, economic and business challenges.

Role in the project
The University of Groningen role in the STAR project is as follows:

Leading the- co-design for Human-Centred AI
Contributes to the digital twins for human-centred modelling and workers safety, as well as to reinforcement learning in human – robot collaboration
Leading the techno-economic and human-centric evaluation of the STAR approach to human-centric AI
Contributes to dissemination and standardisation, as well as towards the project training activities.

Website: https://www.rug.nl/?lang=en