Measuring the AI content of government-funded R&D projects : A proof of concept for the OECD Fundstat initiative

Izumi Yamashita ; Akiyoshi Murakami ; Stephanie Cairns ; Fernando Galindo-Rueda

Organisation for Economic Co-operation and Development

关键词: artificial intelligence;    research and development;    government funding;   

DOI  :  https://doi.org/10.1787/7b43b038-en

学科分类：社会科学、人文和艺术（综合）

来源: OECD iLibrary

【 摘 要 】

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.