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Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

artificial intelligence；application oriented；funding system；project contacts

Document Type

Strategy & Policy Decision Research

Abstract

Artificial intelligence, as a disruptor in the new wave of technological revolution and industrial transformation, had already become a focal point of strategic planning for the U.S. Defense Advanced Research Projects Agency (DARPA) as early as the 1960s. To explore the patterns of DARPA’s project funding allocation in the field of artificial intelligence, this study conducts an in-depth analysis of the agency’s budget reports from fiscal years from 2015 to 2025. The study identifies the following characteristics of DARPA’s project funding framework in the field of artificial intelligence: (1) distinctive application orientation; (2) highly flexible funding system; and (3) close connection between projects. Based on the above insights, three countermeasures are proposed: (1) set up projects with a clear application orientation to ensure targeted transformation of project outcomes; (2) enhance project process management and adapt the funding mechanism flexibly to match project needs; (3) explore an information-sharing mechanism to fully leverage the value of preserving and utilizing project experience.

First page

1429

Last Page

1441

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1. 王莉, 王鹏. DARPA科技创新的管理实践与经验启示. 科技导报, 2018, 36(4): 12-16. Wang L, Wang P. The management and the experience of the DARPA technology innovation. Science & Technology Review, 2018, 36(4): 12-16. (in Chinese)

2. 刘宇祥, 罗天宇. 美国国防部高级研究计划局的技术转化机制及启示. 情报杂志, 2024, 43(6): 60-65. Liu Y X, Luo T Y. Technology transition of Defense Advanced Research Projects Agency and its enlightenment. Journal of Intelligence,2024, 43(6): 60-65. (in Chinese)

3. 鲁佳. 从DARPA看国防科技高风险高回报项目管理模式创新. 国防科技, 2023, 44(6): 96-102. Lu J. High risk high reward project management mechanism mode innovation implicated by DARPA. National Defense Technology, 2023, 44(6): 96-102. (in Chinese)

4. 曾策, 高能武. DARPA电子复兴计划中的射频三维异构集成技术. 中国电子科学研究院学报, 2023, 18(4): 378-385. Zeng C, Gao N W. RF 3D heterogeneous integration technologies in DARPA ERI. Journal of China Academy of Electronics and Information Technology, 2023, 18(4): 378-385. (in Chinese)

5. 王钊, 李文娟, 王强. 美国国防高级研究计划局2014—2023财年预算的启示. 科技导报, 2024, 42(2): 6-13. Wang Z, Li W J, Wang Q. Budget analysis and enlightenment of DARPA from fiscal year 2014 to 2023. Science & Technology Review, 2024, 42(2): 6-13. (in Chinese)

6. 秦浩, 彭玉婷, 张炜. DARPA人工智能领域最新进展及2023财年项目布局分析. 中国电子科学研究院学报, 2022, 17(12): 1211-1218. Qin H, Peng Y T, Zhang W. Analysis of the latest developments in DARPA’s artificial intelligence field and the project layout in fiscal year 2023. Journal of China Academy of Electronics and Information Technology, 2022, 17(12): 1211-1218. (in Chinese)

7. 龙飞, 巩键. 美国小企业创新研究计划实施的经验与启示. 中国中小企业, 2023, (3): 32-35. Long F, Gong J. Experiences and insights from the implementation of the Small Business Innovation Research Programme in the US. China Small & Medium Enterprises, 2023, (3): 32-35. (in Chinese)

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