The emergence of a ‘twin transition’ scientific knowledge base in the European regions
研究了欧洲地区数字与绿色科学知识基础在“双重转型”领域中的空间和组合模式，发现拥有强大绿色和数字科学基础的地区更可能产出更多、更高质量的双重转型知识。
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.