语义分析能告诉我们关于全球STI政策议程的长期趋势什么

What semantic analysis can tell us about long term trends in the global STI policy agenda

Journal of Technology Transfer · 2022
被引 12
ABS 3

中文导读

本文用语义分析方法,分析了OECD科技与创新政策工作组三十多年的文件,识别出政策主题的演变,揭示哪些主题长期主流、哪些随新挑战出现或消失,帮助政策研究者把握全球STI政策议程的长期趋势。

Abstract

The scope, complexity and the "volume" of knowledge accumulated render producing an overview of the core themes of science, technology and innovation policies difficult. Reviews of this policy domain mostly either refer to general issues without deep immersion into details or focus on specific narrower aspects. The paper uses semantic analysis to identify major themes of science, technology and innovation policies over the last three decades and to trace their evolution towards current policy setting. We use semantic tools for processing and analysing documents produced by one of the major and highly reputable international expert bodies, the OECD Working Party on Technology and Innovation Policy. We show that selected themes remain in the mainstream even though being affected by regular policy adjustments and refinements and which disappear or appear with new challenges and expected solutions. Other themes appear niche or exotic themes which are under discussion for some time only.

科技政策创新政策语义分析政策议程