Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1787/7b43b038-en |
Measuring the AI content of government-funded R&D projects | |
Izumi Yamashita; Akiyoshi Murakami; Stephanie Cairns and Fernando Galindo-Rueda | |
2021-06-28 | |
出版年 | 2021 |
国家 | 国际 |
领域 | 气候变化 ; 资源环境 ; 地球科学 |
英文摘要 | 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. |
URL | 查看原文 |
来源平台 | OECD iLibrary |
引用统计 | |
文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/334584 |
专题 | 气候变化 地球科学 资源环境科学 |
推荐引用方式 GB/T 7714 | Izumi Yamashita,Akiyoshi Murakami,Stephanie Cairns ,et al. Measuring the AI content of government-funded R&D projects,2021. |
条目包含的文件 | 条目无相关文件。 |
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