中央纪委国家监委网站 李灵娜 自海南报道 海南省屯昌县纪委监委以大数据信息化为抓手，依托海南省"机器管'三资'"平台，扎实推进农村集体"三 资"监管工作，有效破解农村集体资金、资产、资源存在的底数不清、管理不严、权责不明问题，实现监管 效能显著提升。图为该县纪检监察干部通过该平台查看新兴镇"三资"管理数据，并结合数据特征开展分析研 判。莫丽强 摄 习近平总书记在二十届中央纪委四次全会上强调"用科技手段加强监督"，为在纵深推进全面从严治党和反腐 败斗争中持续用好大数据等信息化技术指明了前进方向。四次全会指出，以大数据信息化赋能正风反腐。 实践中，海南省纪委监委坚持数字赋能监督路径创新，从"机器管招投标"到"机器管+"，逐步深化"监督一张 网"和"机器管+"系列机制建设，构建"数据整合—规则量化—智能决策—动态监管"管理体系，推动以技术刚 性约束权力弹性、以智能预警替代事后纠偏，压缩权力设租寻租空间，从源头上防治腐败。 探索—— 以推动"机器管招投标"改革破解监督难题，助推清廉自贸港建设 2022年4月，习近平总书记在海南考察时强调，要加快建设具有世界影响力的中国特色自由贸易港，让海南 成为新时代中国改革开放的示 ...

Core Viewpoint - The article emphasizes the importance of integrating digital technology into the disciplinary inspection and supervision system to enhance efficiency and effectiveness in combating corruption and ensuring accountability [6][18]. Group 1: Digital Integration in Supervision - Various local governments, including those in Shandong, Chongqing, and Jiangsu, are advancing the construction of digital disciplinary inspection systems, focusing on cultivating digital thinking and literacy among inspectors [19]. - The integration of digital technology into disciplinary inspection processes is seen as a crucial method for improving the quality of supervision and law enforcement [7][9]. - Establishing a comprehensive data resource center and a digital supervision application platform is essential for optimizing data collection, sharing, and analysis [9][10]. Group 2: Data Utilization and Analysis - The development of customized data models and analytical tools is being prioritized to enhance the precision and effectiveness of supervision [8][12]. - A closed-loop governance chain is being established to address issues identified through data analysis, ensuring timely feedback and corrective actions [11][13]. - The use of big data for real-time monitoring and early warning systems is being implemented to detect irregularities in various sectors, such as education and healthcare [12][18]. Group 3: Training and Capacity Building - There is a strong emphasis on enhancing the digital skills and awareness of disciplinary inspection personnel through targeted training programs [15][16]. - The establishment of a talent pool for digital supervision is aimed at fostering a collaborative environment between technical and operational teams [15][19]. - Practical training and real-case simulations are being utilized to improve the operational capabilities of inspectors in data analysis and electronic evidence collection [16][18].

中央纪委国家监委网站 李张光 浙江省永康市纪委监委强化"以智管资"，持续探索农村"三资"管理数字化监督新路径，切实提升基层治 理效能。图为该市纪委监委干部就农村"三资"场景监督模型构建进行研判。施静祎 摄 湖南省衡阳市纪委监委扎实推进数字纪检监察体系建设，推动数字技术深度融入纪检监察各项业务。图 为该市纪检监察干部运用大数据分析系统，对海量数据进行碰撞比对，精准研判问题线索。李智斌 摄 本期嘉宾 丁 芬 湖南省衡阳市委常委，市纪委书记、监委主任 吴 燕 浙江省金华市委常委，市纪委书记、监委主任 张琼：我们聚焦打牢数据底座，建立"党委统一领导、纪委监委牵头、职能部门协同、市县一体联动"的 数据归集和动态更新机制，打通与卫健、民政、医保、人社、市场监管等部门之间的数据壁垒，归集覆 盖人、财、事的数据"资源池"，为精准监督执纪执法提供坚实数据支撑。健全完善"获取监督数据—创 建监督模型—处置预警信息—推动整改治理"的全链条闭环管理机制，紧盯群众身边不正之风和腐败问 题易发多发的重点领域，依托大数据监督平台开发创建96个预警类监督模型，采取数据碰撞、逻辑比 对、关联分析等方式实时筛查预警异常信息，以"线上"精准发现问 ...

近期，中央纪委国家监委驻中国石油纪检监察组举办首届监督办案数智建模比赛，来自中国石油纪检监 察系统88家单位的161个作品激烈角逐。此次比赛以"众创数智模型、赋能监督办案"为主题，以实战需 求为导向，涵盖油气销售、物资采购、工程建设等16个业务领域，针对违规招标手段隐蔽、违规吃喝隐 形变异、涉案数据处理量大等难题，运用数据抓取、机器学习、自然语言处理、算法优化、模型训练等 手段，搭建物资采购风险预警、围标串标智慧监督、交易数据清洗穿透等一批数智体系，推动监督办案 实现从"人找问题"向"数据找问题"、从被动应对向主动防治的突破跨越。 此次比赛既是成果的比拼与能力的展示，又是将数智技术深度融入纪检监察业务的生动实践。驻中国石 油纪检监察组深入贯彻落实二十届中央纪委四次全会关于"以大数据信息化赋能正风反腐"的部署要求， 紧密结合石油行业领域工作实际，通过大数据、信息化技术持续提升监督能力，为纪检监察工作高质量 发展注入新动能。 系统布局强根基，构建"全链条"数智监督体系。驻中国石油纪检监察组全面推进"1+3+N"数字纪检监察 体系建设（1个大数据资源中心，3个数字化平台，N个数据库），稳步推进建设"三横五纵"数字化 ...

Core Viewpoint - The article emphasizes the importance of strengthening grassroots supervision in Harbin, Heilongjiang Province, as a means to enhance governance effectiveness and ensure the implementation of policies at the community level [2][3]. Group 1: Grassroots Supervision - Grassroots supervision is identified as the "last mile" of national governance, crucial for promoting strict party governance and improving governance efficiency [2][3]. - Harbin's disciplinary inspection and supervision agencies are actively exploring methods to enhance the quality and effectiveness of grassroots supervision [2][3]. Group 2: Economic Impact - The development of greenhouse economies in rural areas has led to an average annual increase of 500,000 yuan for village collectives and created jobs for 20 villagers, each earning nearly 3,000 yuan per month [2]. - This initiative exemplifies how grassroots supervision can support the growth of rural collective economies and enhance the role of local party organizations [2]. Group 3: Supervision Mechanisms - Harbin's disciplinary inspection and supervision agencies are integrating resources and extending supervision to create a collaborative and efficient grassroots supervision system [4]. - The city has established 79 collaborative supervision zones to enhance the effectiveness of disciplinary inspections across 303 townships [5]. Group 4: Training and Capacity Building - The city is focused on improving the capabilities of grassroots disciplinary inspection and supervision personnel through targeted training programs [8][9]. - Over 14,000 grassroots inspectors have received training this year, emphasizing practical skills and knowledge sharing [9]. Group 5: Technology and Data Utilization - The implementation of "smart seals" has improved the management of village-level organizations, allowing for real-time tracking of approval processes [12]. - Harbin's disciplinary inspection agencies are leveraging big data to enhance the precision and effectiveness of grassroots supervision, creating a closed-loop management system for problem detection and resolution [13].

Group 1 - The core viewpoint emphasizes the integration of big data and information technology to enhance anti-corruption efforts and improve the quality of disciplinary inspection and supervision in Linyi City, Shandong Province [1][2][3] Group 2 - The construction of a digital disciplinary inspection and supervision system is supported by a data center that integrates 329 data sources, collecting 350 million data entries from various public resources and internal business data [1][2] - The platform development focuses on enhancing political, special, daily, and grassroots supervision, with tools like a political ecology monitoring platform and a big data supervision warning platform [2][3] Group 3 - The emphasis on intelligent supervision aims to counter increasingly covert corruption methods by utilizing a "cloud workstation" big data case handling platform and developing 90 analytical methods for supervision and investigation [3][4] - Professional development is prioritized, with training sessions and workshops aimed at improving the ability of disciplinary inspection personnel to effectively use big data in their work [3][4]