Recently, the National Natural Science Foundation of China (NSFC) announced the results of the 2024 Major Program reviews. The project titled "Statistical Management Theory for Large-Scale Business Scenarios," led by Professor Chang Jinyuan from Southwestern University of Finance and Economics (SWUFE), in collaboration with Professor Kou Gang from SWUFE, along with Shanghai Jiao Tong University, the Institute of Mathematics and Systems Science of the Chinese Academy of Sciences, and Peking University, has been officially approved for funding. This marks SWUFE's first time as the lead institution for a Major Program of the National Natural Science Foundation of China.
The project aims to address complex business scenarios and vast amounts of business data in the context of the digital economy. It will develop relevant data science theories, statistical computing and optimization methods, prediction theory, and simulation decision-making theories to construct a full-process statistical management model for large-scale business scenarios. This initiative will provide methodological and theoretical support for developing a data-driven paradigm in management research and offer solutions to major management issues in large-scale business contexts.
The approval of this project highlights SWUFE's strengthened focus on organized scientific research in response to national strategic needs. It represents a significant step toward enhancing the university's capability for original innovation in basic research, promoting interdisciplinary research, and addressing major scientific issues in the field of finance and economics.
The Major Program of the National Natural Science Foundation of China is designed to tackle critical scientific issues that meet national economic, social, technological, and security needs. It emphasizes forward-looking deployment, interdisciplinary research, and comprehensive studies, which are essential to strengthening China’s fundamental research and driving innovations in the science and technology sectors.
