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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1. Verfasser: Yamashita, Izumi (VerfasserIn)
Weitere Verfasser: Murakami, Akiyoshi (MitwirkendeR), Cairns, Stephanie (MitwirkendeR), Galindo-Rueda, Fernando (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Paris OECD Publishing 2021
Schriftenreihe:OECD Science, Technology and Industry Working Papers
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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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