Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia

Abstract 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 do...

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Bibliographic Details
Main Authors: Moilanen, M. (Mikko), Østbye, S. (Stein), Simonen, J. (Jaakko)
Format: Article in Journal/Newspaper
Language:English
Published: Informa 2022
Subjects:
Smart Specialisation
cross-border cooperation
innovation
machine learning
Arctic
Online Access:http://urn.fi/urn:nbn:fi-fe2022102563275
id ftunivoulu:oai:oulu.fi:nbnfi-fe2022102563275
record_format openpolar
spelling ftunivoulu:oai:oulu.fi:nbnfi-fe2022102563275 2023-07-30T04:01:06+02:00 Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia Moilanen, M. (Mikko) Østbye, S. (Stein) Simonen, J. (Jaakko) 2022 application/pdf http://urn.fi/urn:nbn:fi-fe2022102563275 eng eng Informa info:eu-repo/semantics/openAccess © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/ Smart Specialisation cross-border cooperation innovation machine learning info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2022 ftunivoulu 2023-07-08T19:59:59Z Abstract 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. Article in Journal/Newspaper Arctic Jultika - University of Oulu repository Arctic
institution Open Polar
collection Jultika - University of Oulu repository
op_collection_id ftunivoulu
language English
topic Smart Specialisation
cross-border cooperation
innovation
machine learning
spellingShingle Smart Specialisation
cross-border cooperation
innovation
machine learning
Moilanen, M. (Mikko)
Østbye, S. (Stein)
Simonen, J. (Jaakko)
Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia
topic_facet Smart Specialisation
cross-border cooperation
innovation
machine learning
description Abstract 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.
format Article in Journal/Newspaper
author Moilanen, M. (Mikko)
Østbye, S. (Stein)
Simonen, J. (Jaakko)
author_facet Moilanen, M. (Mikko)
Østbye, S. (Stein)
Simonen, J. (Jaakko)
author_sort Moilanen, M. (Mikko)
title Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia
title_short Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia
title_full Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia
title_fullStr Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia
title_full_unstemmed Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia
title_sort machine learning and the identification of smart specialisation thematic networks in arctic scandinavia
publisher Informa
publishDate 2022
url http://urn.fi/urn:nbn:fi-fe2022102563275
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_rights info:eu-repo/semantics/openAccess
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
https://creativecommons.org/licenses/by/4.0/
_version_ 1772811856718594048

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