Abstract:
The transition to a circular economy, conceptualised as a regenerative system that minimises resource input and waste, emissions and energy leakage, requires new forms of collaboration between universities and industry, as well as graduates able to address complex sustainability and resource-efficiency challenges. AI-based educational platforms can function as shared digital infrastructures that connect scientific knowledge, real industrial data and project-based learning in science and engineering, in line with recent work on AI applications in higher education and STEM and on AI-enhanced tools for engineering education. Such platforms are particularly relevant as artificial intelligence and digitisation are increasingly recognised as key enablers of circular business models and innovation. This study examines how such platforms can act as drivers of cooperation and technology transfer for circular-economy-oriented engineering education, building on sustainable models of university–industry collaboration.
Description:
This article was developed with the support of the project "AI-Empowered Innovation in Natural Science and Engineering for Circular Economy" (AI-InnoScEnCe), ref. no. 101127683, funded by the European Union through the "Horizon Europe" research and innovation programme. The views and opinions expressed are those of the author alone and do not necessarily reflect those of the European Union. The European Union cannot be held responsible for them.
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States