Practice and Reflection on Scientific and Technological Strategic Intelligence

[Purpose/Significance] The new round of technological revolution and industrial transformation is accelerating, and its impact on national development and security is becoming deeper and wider. The complexity and uncertainty of the technological innovation system are highlighted, and the technology policy agenda is also undergoing a transformation in order to cope with the increasingly fierce international technological competition. In order to identify the trend of technological development, countries generally engage in data-driven strategic intelligence practice. [Method/Process] Through research on the standard Innovation Management - Tools and Methods for Strategic Intelligence Management - Guide published by the International Organization for Standardization, the Science, Technology, and Innovation Policy Agenda published by the Economic Development Cooperation Organization, Safeguarding the Future of the United States: Framework for Key Technology Assessment issued after the recent national key technology assessment in the United States, The 2023 EU Industrial R&D Investment Scoreboard by the EU, the Japanese R&D Overlook Report, and the Scientific Structure Atlas of the Chinese Academy of Sciences, this study is focused on how to develop and utilize scientific and technological strategic intelligence to support the "evidence-based decision-making" agenda in the report development process. [Results/Conclusions] The essence of technological strategic intelligence is to provide data, knowledge, and evidence for decision making. The operational cycle model of strategic intelligence is DIKI, which is a strategic intelligence data infrastructure and analysis model including indicators, and tools for technology policy issues. There is a need to establish a dedicated strategic intelligence unit within the organization to understand and utilize technology strategic intelligence data, and to consciously incorporate it into the "evidence-based decision-making" agenda. Combining different types of strategic intelligence has become a necessary skill for technology policy makers. Technology innovation policy makers should take responsibility for the generation, maintenance, integrity, and accessibility of a large amount of administrative data related to the monitoring of technology innovation systems and policies.