The topic "Research on Illegal Behavior Identification Technology for Multiple Regulatory Scenarios," hosted by Prof. Wang Donghua from the School, has been approved for a National Key Research and Development Plan Project Topic. The total budget of the topic is 5.6 million yuan, including 3.6 million yuan from the central government's financial funding. Associate Prof. Liu Xuan, Prof. Li Jia, Associate Prof. Lin Li, Dr. Wu Xianjiao from the School, and Associate Prof. Luo Fei from the School of Information are core members participating in this topic. This topic is one of the serial topics of the national key research and development plan project "Research on Key Technologies for Intelligent Supervision and Linked Early Warning of Commercial Banks" under the key special project "Science and Technology Support for Social Governance and Smart Society (Safe China)" in 2024.

To implement the national science and technology innovation deployment during the 14th Five-Year Plan period, the national key research and development plan has launched the key special project "Science and Technology Support for Social Governance and Smart Society (Safe China)." In recent years, the supervision of commercial banks has faced challenges such as difficulties in data penetration and traceability verification, implementation of digital supervision rules, identifying hidden risks, and insufficient collaborative early warning capabilities. Therefore, the national key research and development plan key special project "Science and Technology Support for Social Governance and Smart Society (Safe China)" established the project "Research on Key Technologies for Intelligent Supervision and Linked Early Warning of Commercial Banks" in 2024. It aims to break through the data traceability verification and fund flow data verification technology between regulatory authorities and commercial banks, the regulatory rule generation and adaptation technology for financial supervision knowledge integration under complex and multi-scenario conditions, the hidden risk identification technology for commercial banks under multiple regulatory scenarios, and the intelligent collaboration and safe linked early warning technology of regulatory models. 

The topic "Research on Illegal Behavior Identification Technology for Multiple Regulatory Scenarios" plans to conduct research on knowledge modeling and multi-source knowledge extraction technology for illegal behavior identification, illegal behavior clue mining technology for multiple regulatory scenarios, and illegal behavior reasoning technology based on hidden risk mining. It explores the hierarchical illegal behavior identification technology based on hidden risk transmission, coexistence in multiple regulatory scenarios, and collaborative reasoning of risk knowledge, to break through the difficulties in identifying hidden risks of commercial banks. This will enhance the precise identification capability of hidden risks in commercial banks, the data integration and knowledge collaboration capability of illegal behavior identification in multiple regulatory scenarios within banks, and the collaborative identification capability of potential risks between regulatory authorities and commercial banks as well as among banks.

The approval of this topic marks a significant breakthrough for the School in the fields of financial technology and smart social governance, and is an important reflection of the school's iBSET strategy. The topic focuses on the national major strategic needs of financial service technology innovation, taking intelligent supervision, collaborative supervision, and linked early warning as breakthrough points. It promotes the digital and intelligent supervision transformation of commercial banks through hierarchical illegal behavior identification technology, enhances the risk perception and early warning capabilities of commercial banks, and improves the cognitive, collaborative, and self-evolutionary capabilities of financial risk monitoring.