Overview of NSFC Project Application and Funding Status of Artificial Intelligence Field(F06) in 2023
XIE Guo1, WANG Le1,2, SONG Heping1,3, XIAO Bin1,4, LIAO Qing1,5, WANG Zhiheng1, WU Guozheng1
1. Division II in the Department of Information Sciences, National Natural Science Foundation of China, Beijing 100085; 2. College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an 710049; 3. School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013; 4. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065; 5. School of Computer Science and Technology, Harbin Institute of Technology(Shenzhen), Shenzhen 518055
Abstract：This paper presents a statistical analysis of the application and funding status of some projects in the two program series of "Talent" and "Research" under the National Natural Science Foundation(NSFC) in the field of artificial intelligence(application code F06) for the year 2023. The application code, the distribution of the supporting institutions and their trends over the past five years are analyzed. Additionally, the evaluation status of the field categorized by scientific problem attributes is introduced, as well as the relevant evaluation principles and measures in this field. Finally, the paper concludes with a summary and outlook, aiming at providing the reference for the relevant researchers to learn the research hotspots and future directions of this field.
谢国, 王乐, 宋和平, 肖斌, 廖清, 王志衡, 吴国政. 2023年度人工智能领域国家自然科学基金项目申请与资助情况综述[J]. 模式识别与人工智能, 2024, 37(2): 95-105.
XIE Guo, WANG Le, SONG Heping, XIAO Bin, LIAO Qing, WANG Zhiheng, WU Guozheng. Overview of NSFC Project Application and Funding Status of Artificial Intelligence Field(F06) in 2023. Pattern Recognition and Artificial Intelligence, 2024, 37(2): 95-105.
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2024, Vol. 37 
