The Supreme People's Procuratorate focuses on promoting 25 legal supervision models for ordinary crime prosecution big data
2024-11-08
Recently, after in-depth research and comprehensive evaluation, the Ordinary Crime Prosecution Office and the Digital Prosecution Office of the Supreme People's Procuratorate have identified 25 legal supervision models for ordinary crime prosecution big data, and issued a notice requiring local procuratorial organs to combine the actual supervision and handling of cases, do a good job in the application of key promotion models, clue verification, and case guidance, and effectively handle every case with high quality. The reporter learned that recently, the Supreme People's Procuratorate for Ordinary Crimes held a demonstration activity on the legal supervision model of ordinary crime prosecution big data, and organized expert review. The 58 models that participated in the presentation and demonstration were approved by the Digital Office of the Supreme People's Procuratorate and published on the "National Procuratorial Big Data Legal Supervision Model Management Platform" for download and application by procuratorial organs across the country. In the review, modeling logic, data source development, model effectiveness, and supervisory value were the four key areas of focus. Based on the evaluation results, combined with the pilot work of the criminal trial supervision intelligent auxiliary case handling system carried out by the major crime prosecution department in the early stage, as well as the evaluation of the drunk driving digital investigation model carried out by the criminal execution prosecution department, we have finally determined 25 ordinary crime prosecution big data legal supervision models for key promotion and application The head of the Supreme People's Procuratorate for Ordinary Crimes stated. It is reported that in recent years, criminal prosecution departments at all levels of procuratorial organs have deepened the digital prosecution work mechanism of "business led, data integration, technical support, and emphasis on application", using information and intelligent technology to help improve the quality and efficiency of supervision and case handling, and digital empowerment of criminal prosecution work has achieved positive results. From the practical application of models in various regions, empowering criminal prosecution work with digital technology has overall improved the ability of criminal prosecution departments to screen and discover case clues, providing strong support for solving the long-standing problem of 'difficult clue discovery' According to the relevant person in charge of the General Crime Prosecution Department of the Supreme People's Procuratorate, the direction and quality of illegal and criminal clues discovered through the model are clearer, and the success rate of clues is higher than that discovered through general channels. The reporter learned that one of the challenges facing the current crackdown on crime is that with the development of network technology and the increasing awareness of anti investigation among criminals, some upstream and downstream personnel are contacting each other anonymously through the internet, and criminal behavior is showing a trend of collectivization and industrial chain. While efficiently integrating and utilizing relevant data and effectively improving the quality and efficiency of case filing supervision, digital prosecution can also effectively enhance the ability of prosecutors to discover upstream and downstream criminal clues and omissions in handling arrest and prosecution cases The relevant staff of the Digital Prosecution Office of the Supreme People's Procuratorate stated. Taking the "Legal Supervision Model for Upstream and Downstream Crime Omission" developed by the Changping District Procuratorate in Beijing as an example, this model focuses on the identity attributes and behavioral characteristics of key nodes in the criminal industry chain. Through horizontal comparison and vertical concatenation, data association and collision are carried out to dig deep into the clues of upstream and downstream cases, thus achieving a full chain crackdown on crime. At the same time, the big data legal supervision model can also help the procuratorial organs better carry out supervision work, maintain judicial fairness, and safeguard the legitimate rights and interests of citizens. The "Legal Supervision Model for Unprocessed Criminal Cases" developed by Jiangyang District Procuratorate in Luzhou City, Sichuan Province, supervises cases that have not been processed after criminal filing, effectively preventing damage to judicial fairness caused by prolonged delays in case resolution. After the development and application of this model, the overall handling rate of cases by public security organs has significantly improved, which helps to achieve the transformation from "clearing pending cases" to dynamic "eliminating pending cases" after engagement. The head of the General Crime Prosecution Department of the Supreme People's Procuratorate stated that procuratorial organs often develop big data legal supervision models by analyzing individual cases, extracting rules for similar cases, and better safeguarding judicial fairness. The ordinary crime prosecution departments in various regions should conscientiously implement the requirements and deployment of the Supreme Procuratorate Party Group on comprehensively grasping the "three management", and effectively focus their main energy on the main responsibility and business of legal supervision, the source of fulfilling their duties and handling cases, and the value pursuit of high-quality and efficient handling of cases. In the process of promoting the application of big data legal supervision models, they should focus on the goal of effectively improving supervision and handling capabilities and the quality and efficiency of case handling, pay more attention to tracking and guidance, cooperation and cooperation after the transfer of clues, and handle each case with high quality and efficiency. (New Society)
Edit:Rina Responsible editor:Lily
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