1887

OECD Science, Technology and Industry Working Papers

The OECD Directorate for Science, Technology and Innovation (STI) leads OECD research on the contribution of science, technology and industry to well-being and economic growth. STI Working Papers cover a broad range of topics including definition and measurement of science and technology indicators, global value chains, and research on policies to promote innovation. These technical or analytical working papers are prepared by staff or outside consultants to share early insights and elicit feedback.

English

Measuring governments’ R&D funding response to COVID-19

An application of the OECD Fundstat infrastructure to the analysis of R&D directionality

This paper presents new evidence on the size and direction of governments’ R&D funding response to the COVID-19 pandemic through the exploration of a novel data infrastructure, the OECD Fundstat initiative for the analysis of government-funded R&D projects. The document reports on the exploratory development and application of automatic classification tools to detect relevant COVID-19 R&D funding, map salient topics and classify and allocate project funding according to priorities in the WHO COVID-19 R&D Blueprint, as well as comparing results with similar analysis of scientific publication output data. The results provide new insights on which areas of enquiry were prioritised by governmental R&D funding bodies.

English

Keywords: directionality, Research and Development, topic modelling, COVID-19, R&D, classification, large language models, Government funding
JEL: O32: Economic Development, Innovation, Technological Change, and Growth / Innovation; Research and Development; Technological Change; Intellectual Property Rights / Management of Technological Innovation and R&D; O38: Economic Development, Innovation, Technological Change, and Growth / Innovation; Research and Development; Technological Change; Intellectual Property Rights / Technological Change: Government Policy; C45: Mathematical and Quantitative Methods / Econometric and Statistical Methods: Special Topics / Neural Networks and Related Topics; C38: Mathematical and Quantitative Methods / Multiple or Simultaneous Equation Models; Multiple Variables / Classification Methods; Cluster Analysis; Principal Components; Factor Models
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