: a proof of concept for the OECD Fundstat initiative Yamashita, Izumi Organización de Cooperación y Desarrollo Económico text technical report París OECD Publishing 2021 monographic eng

electronic

pdf 106 p. : gráf. ; 1 documento PDF 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. specialized / Izumi Yamashita ... [et al.] The use of this work, whether digital or print, is governed by the Terms and Conditions to be found at http://www.oecd.org/termsandconditions. Inteligencia Artificial AI i+D investigación desarrollo financiación gubernamental pdf https://www.oecd-ilibrary.org/docserver/7b43b038-en.pdf?expires=1627547318&id=id&accname=guest&checksum=E91945E3C752922A6AB7DA2BA3C50970 https://www.oecd-ilibrary.org/docserver/7b43b038-en.pdf?expires=1627547318&id=id&accname=guest&checksum=E91945E3C752922A6AB7DA2BA3C50970 The use of this work, whether digital or print, is governed by the Terms and Conditions to be found at http://www.oecd.org/termsandconditions. ES-MaONT 210729 20220207164617.0 00006650