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What semantic analysis can tell us about long term trends in the global STI policy agenda

The scope, complexity and the “volume” of knowledge accumulated render producing an overview of the core themes of science, technology and innovation policies difficult. Reviews of this policy domain mostly either refer to general issues without deep immersion into details or focus on specific narro...

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Detalles Bibliográficos
Autores principales: Gokhberg, Leonid, Meissner, Dirk, Kuzminov, Ilya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362033/
https://www.ncbi.nlm.nih.gov/pubmed/35967600
http://dx.doi.org/10.1007/s10961-022-09959-5
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author Gokhberg, Leonid
Meissner, Dirk
Kuzminov, Ilya
author_facet Gokhberg, Leonid
Meissner, Dirk
Kuzminov, Ilya
author_sort Gokhberg, Leonid
collection PubMed
description The scope, complexity and the “volume” of knowledge accumulated render producing an overview of the core themes of science, technology and innovation policies difficult. Reviews of this policy domain mostly either refer to general issues without deep immersion into details or focus on specific narrower aspects. The paper uses semantic analysis to identify major themes of science, technology and innovation policies over the last three decades and to trace their evolution towards current policy setting. We use semantic tools for processing and analysing documents produced by one of the major and highly reputable international expert bodies, the OECD Working Party on Technology and Innovation Policy. We show that selected themes remain in the mainstream even though being affected by regular policy adjustments and refinements and which disappear or appear with new challenges and expected solutions. Other themes appear niche or exotic themes which are under discussion for some time only.
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spelling pubmed-93620332022-08-10 What semantic analysis can tell us about long term trends in the global STI policy agenda Gokhberg, Leonid Meissner, Dirk Kuzminov, Ilya J Technol Transf Article The scope, complexity and the “volume” of knowledge accumulated render producing an overview of the core themes of science, technology and innovation policies difficult. Reviews of this policy domain mostly either refer to general issues without deep immersion into details or focus on specific narrower aspects. The paper uses semantic analysis to identify major themes of science, technology and innovation policies over the last three decades and to trace their evolution towards current policy setting. We use semantic tools for processing and analysing documents produced by one of the major and highly reputable international expert bodies, the OECD Working Party on Technology and Innovation Policy. We show that selected themes remain in the mainstream even though being affected by regular policy adjustments and refinements and which disappear or appear with new challenges and expected solutions. Other themes appear niche or exotic themes which are under discussion for some time only. Springer US 2022-08-04 /pmc/articles/PMC9362033/ /pubmed/35967600 http://dx.doi.org/10.1007/s10961-022-09959-5 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gokhberg, Leonid
Meissner, Dirk
Kuzminov, Ilya
What semantic analysis can tell us about long term trends in the global STI policy agenda
title What semantic analysis can tell us about long term trends in the global STI policy agenda
title_full What semantic analysis can tell us about long term trends in the global STI policy agenda
title_fullStr What semantic analysis can tell us about long term trends in the global STI policy agenda
title_full_unstemmed What semantic analysis can tell us about long term trends in the global STI policy agenda
title_short What semantic analysis can tell us about long term trends in the global STI policy agenda
title_sort what semantic analysis can tell us about long term trends in the global sti policy agenda
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362033/
https://www.ncbi.nlm.nih.gov/pubmed/35967600
http://dx.doi.org/10.1007/s10961-022-09959-5
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