A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia
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.
Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia
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.
Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia
Moilanen, Mikko (author) / Østbye, Stein (author) / Simonen, Jaakko (author)
Regional Studies ; 56 ; 1429-1441
2022-09-02
13 pages
Article (Journal)
Electronic Resource
English
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