Core Insights - The article discusses the implementation of a big data supervision model by the Jiangyang District Commission for Discipline Inspection and Supervision in Luzhou, Sichuan Province, to identify irregularities in agricultural insurance fund distribution [1][2] - The use of big data has enabled quicker identification of issues, such as the case of a village official misappropriating agricultural insurance subsidies [1] - The initiative aims to ensure that agricultural subsidies reach the intended beneficiaries, thereby enhancing the effectiveness of policies aimed at improving people's livelihoods [1] Group 1 - The Jiangyang District's Commission has developed a big data supervision platform to analyze agricultural insurance fund distribution, leading to the identification of anomalies [1] - A specific case was highlighted where a village official was found to have misappropriated funds, resulting in disciplinary action and full recovery of the misused funds [1] - The platform employs 16 data supervision models focusing on various subsidy types, allowing for efficient detection of potential issues through data analysis and alerts [1] Group 2 - The Commission emphasizes the importance of data integration for effective supervision, following principles of integrated management and secure data sharing [2] - Custom supervision models are created based on specific needs, enabling real-time tracking and analysis of subsidy distribution, including identifying cases of fraud or unclaimed benefits [2] - The approach includes forming investigation teams to verify strong leads and systematically analyzing related information to prevent future risks in subsidy management [2]

Core Insights - The article highlights the effective use of big data in monitoring agricultural subsidies, leading to quicker resolution of issues compared to traditional methods [1][2] - The establishment of a data-sharing mechanism among various departments is emphasized as a key strategy for enhancing supervision and addressing public concerns [2] Group 1: Big Data Supervision - The "Big Data Supervision Model" for agricultural subsidies enabled the rapid identification and resolution of irregularities, such as duplicate or excessive subsidy claims, within two weeks [1] - The model integrates data from multiple sources, allowing for proactive monitoring and timely intervention in cases of subsidy mismanagement [2] Group 2: Community Impact - The implementation of the "Unclaimed Senior Subsidy Monitoring Model" has resulted in improved communication with residents, ensuring that eligible individuals receive benefits without needing to apply [2] - Feedback from the community indicates a positive reception of the proactive measures taken by the supervisory body, enhancing public trust [2] Group 3: Continuous Improvement - The supervisory body is committed to ongoing enhancement of the big data supervision system, focusing on leveraging technology to improve efficiency and effectiveness in monitoring [3]

惠民补贴资金等重点领域，搭建多形式监督模型，收集相关职能部门各类业务数据，通过数据关联、碰 撞对比、筛选分析，发现疑点信息、形成问题线索。登封市纪委监委依托营商环境智慧监督平台，运用 数据碰撞分析技术，对政策兑现、执法审批等关键环节开展穿透式监督。 "自从县纪委监委对公务接待活动进行网上监管后，现在所有的公函、接待票据等都需要上传到监管系 统，不仅有效规范接待，也给基层减轻了负担。"滑县机关事务中心有关负责人表示。该县纪委监委依 托智慧纪检监察平台，探索推行公务接待网上监管系统，将全县98家单位公务接待费用使用情况纳入监 管平台，实时监控公函、菜单、相关票据及接待信息，及时发现违规公款吃喝等问题。 河南省纪检监察机关组织开展大数据运用能力提升培训，让纪检监察干部会用、善用、用好"大数据"。 三门峡市纪委监委选拔青年纪检监察干部组建大数据分析小组，围绕查询分析、大数据建模、人工智能 应用等模块开展重点培养。同时，围绕数据分析、综合技战法等核心数字技术应用，组织市县两级业务 骨干开展信息技术辅助办案专题培训，定期选派业务骨干跟案学习、以案代训，以实战强化技术应用。 紧贴审查调查工作重点，新乡市凤泉区纪委监委邀请数 ...

Core Viewpoint - The article emphasizes the importance of supervisory mechanisms in enhancing the effectiveness of political and public oversight within the cultural and ideological sectors in Guangxi, China Group 1: Political Supervision - The supervisory body prioritizes the implementation of Xi Jinping's important speeches and directives as a key political task, establishing a tracking and supervision mechanism to ensure compliance with central government policies [1] - A quarterly "political health check" is conducted in seven comprehensive supervisory units to assess the implementation of responsibilities by party organizations [1] - Proactive measures include warning talks with over 20 individuals and delaying promotions for three individuals due to emerging issues [1] Group 2: Collaborative Supervision - The supervisory body addresses weaknesses in supervisory strength and professionalism by implementing a collaborative supervision mechanism, enhancing coordination among various supervisory groups [2] - Regular joint meetings are held to analyze issues and develop solutions, transforming the approach from isolated efforts to collaborative operations [2] - The "Qingfeng Village" app is utilized for real-time monitoring of cultural benefit funds, leading to the identification and rectification of 15 issues [2] Group 3: Public Supervision - A problem-oriented approach is adopted to ensure that public concerns are addressed, utilizing various channels to gather feedback on pressing issues [3] - A problem ledger is established, with clear responsibilities and deadlines for resolution, involving community representatives in evaluating the effectiveness of rectifications [3] - Specific actions taken include addressing off-campus training issues and conducting field research in rural cultural facilities to enhance resource management and utilization [3] Group 4: Digital Empowerment - The supervisory body is advancing big data supervision by developing an intelligent monitoring platform for project funding in the cultural sector, enabling online oversight of the entire process [4] - Since the platform's launch, over 50 projects have been monitored online, resulting in 12 warning alerts and the correction of 8 deviations [4] - A risk warning mechanism is established for key processes, with over 30 potential risk points identified and more than 50 preventive measures formulated [5] Group 5: Cultural Integrity - The promotion of a culture of integrity is integrated into daily supervision, focusing on the unique characteristics of cultural and ideological units [5] - Initiatives include the creation and performance of integrity-themed artistic productions, reaching over 15,000 audience members [5] - Educational efforts are made through warning sessions and case studies to enhance the awareness of discipline and regulations among staff [5]