Measuring the AI content of government-funded R&D projects: A proof of concept for the OECD Fundstat initiative
This report presents the results of a proof of concept for a new analytical infrastructure ("Fundstat") for analysing government funding of R&D at the project level, exploiting the wealth of text-based information about funded projects. Reflecting the growth in popularity of artificial...
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| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Paris
OECD Publishing
2021
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| Series: | OECD Science, Technology and Industry Working Papers
no.2021/09 |
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | This report presents the results of a proof of concept for a new analytical infrastructure ("Fundstat") for analysing government funding of R&D at the project level, exploiting the wealth of text-based information about funded projects. Reflecting the growth in popularity of artificial intelligence (AI) and the OECD Council Recommendation on AI's emphasis on R&D investment, the report focuses on analysing government investments into AI-related R&D. Using text mining tools, it documents the creation of a list of key terms used to identify AI-related R&D projects contained in 13 funding databases from eight OECD countries and the EU, provides estimates for the total number and volume of government R&D funding, and characterises their AI funding portfolio. The methods and findings developed in this study also serve as a prototype for a new distributed mechanism capable of measuring and analysing government R&D support across key OECD priority areas and topics. |
| Physical Description: | 1 Online-Ressource (105 Seiten) |
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| spelling | Yamashita, Izumi VerfasserIn aut Measuring the AI content of government-funded R&D projects A proof of concept for the OECD Fundstat initiative Izumi, Yamashita ... [et al] Paris OECD Publishing 2021 1 Online-Ressource (105 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Science, Technology and Industry Working Papers no.2021/09 This report presents the results of a proof of concept for a new analytical infrastructure ("Fundstat") for analysing government funding of R&D at the project level, exploiting the wealth of text-based information about funded projects. Reflecting the growth in popularity of artificial intelligence (AI) and the OECD Council Recommendation on AI's emphasis on R&D investment, the report focuses on analysing government investments into AI-related R&D. Using text mining tools, it documents the creation of a list of key terms used to identify AI-related R&D projects contained in 13 funding databases from eight OECD countries and the EU, provides estimates for the total number and volume of government R&D funding, and characterises their AI funding portfolio. The methods and findings developed in this study also serve as a prototype for a new distributed mechanism capable of measuring and analysing government R&D support across key OECD priority areas and topics. Science and Technology Murakami, Akiyoshi MitwirkendeR ctb Cairns, Stephanie MitwirkendeR ctb Galindo-Rueda, Fernando MitwirkendeR ctb |
| spellingShingle | Yamashita, Izumi Measuring the AI content of government-funded R&D projects A proof of concept for the OECD Fundstat initiative Science and Technology |
| title | Measuring the AI content of government-funded R&D projects A proof of concept for the OECD Fundstat initiative |
| title_auth | Measuring the AI content of government-funded R&D projects A proof of concept for the OECD Fundstat initiative |
| title_exact_search | Measuring the AI content of government-funded R&D projects A proof of concept for the OECD Fundstat initiative |
| title_full | Measuring the AI content of government-funded R&D projects A proof of concept for the OECD Fundstat initiative Izumi, Yamashita ... [et al] |
| title_fullStr | Measuring the AI content of government-funded R&D projects A proof of concept for the OECD Fundstat initiative Izumi, Yamashita ... [et al] |
| title_full_unstemmed | Measuring the AI content of government-funded R&D projects A proof of concept for the OECD Fundstat initiative Izumi, Yamashita ... [et al] |
| title_short | Measuring the AI content of government-funded R&D projects |
| title_sort | measuring the ai content of government funded r d projects a proof of concept for the oecd fundstat initiative |
| title_sub | A proof of concept for the OECD Fundstat initiative |
| topic | Science and Technology |
| topic_facet | Science and Technology |
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