Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia
使用无监督机器学习（主题建模）识别北极斯堪的纳维亚地区跨边界、跨学科的研究主题，为区域智慧专业化合作提供决策支持。
The European Union (EU) has recognized that universities and research institutes play a critical role in regional Smart Specialisation processes. Our research aims to identify thematic cross-border research domains across space and disciplines in Arctic Scandinavia. We identify potential domains using an unsupervised machine-learning technique (topic modelling). We uncover latent topics based on similarities in the vocabulary of research papers. The proposed methodology can be utilized to identify common research domains across regions and disciplines in almost real time, thereby acting as a decision support system to facilitate cooperation among knowledge producers.