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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| Beteilige Person: | |
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| Weitere beteiligte Personen: | , , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Paris
OECD Publishing
2021
|
| Schriftenreihe: | OECD Science, Technology and Industry Working Papers
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1787/7b43b038-en |
| Zusammenfassung: | 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 |
| Umfang: | 1 Online-Ressource (105 Seiten) |
| DOI: | 10.1787/7b43b038-en |
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| indexdate | 2025-01-11T15:45:14Z |
| institution | BVB |
| language | English |
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| series2 | OECD Science, Technology and Industry Working Papers |
| 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 |
| url | https://doi.org/10.1787/7b43b038-en |
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