| Title | The emergence of a 'twin transition' scientific knowledge base in the European regions |
|---|---|
| ID_Doc | 61857 |
| Authors | Damioli, G; Bianchini, S; Ghisetti, C |
| Title | The emergence of a 'twin transition' scientific knowledge base in the European regions |
| Year | 2024 |
| Published | |
| Abstract | This study reveals both the spatial and the combinatory patterns of the digital and green scientific knowledge bases for the creation of new knowledge in the domain of the so-called 'twin transition'. The recent and rapid diffusion of this twin scientific knowledge in the European regions has not adhered to clearly defined spatial patterns and has been characterised by a dynamic process of actor reconfiguration. However, regions with a strong green and digital science base have a greater propensity to produce more, better quality and more visible twin knowledge. Among the most prevalent twin knowledge fields emerging today are artificial intelligence (AI)- and Internet of Things (IoT)-powered applications for energy storage, distribution and consumption; environmental monitoring and modelling; and urban planning. |
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