党的十八大以来，以习近平同志为核心的党中央深刻把握信息技术发展趋势，注重以科技手段赋能正风 肃纪反腐。二十届中央纪委五次全会提出"注重科技赋能，加快推进数字纪检监察体系建设"，为提升反 腐败斗争穿透力与精准性提供了实践遵循，为破解"牛栏关猫""纸笼禁虎"问题指明了有效路径。数字纪 检监察体系建设关乎反腐败斗争全局，必须以系统思维统筹谋划、一体推进，以钉钉子精神狠抓落实， 推动数字技术与纪检监察业务深度融合。 数字赋能与监督范式的系统性重塑 习近平总书记指出："健全党统一领导、全面覆盖、权威高效的监督体系，是实现国家治理体系和治理 能力现代化的重要标志。"数字纪检监察体系以数据、算法、算力的有效聚合驱动纪检监察工作力量整 合，打破传统监督的思维定式、路径依赖和机制障碍，为纪检监察工作装上"智慧大脑"。 数据为数字纪检监察体系提供"源头活水"。过去，在纪检监察工作中，不同部门、环节信息共享程度不 够，在个别领域存在监管"盲区"。数字纪检监察体系建设能够有效打破部门间的信息壁垒，建立起覆盖 全域的监督网络。此外，数字纪检监察体系能够对重复录入、格式错误、逻辑矛盾的数据，以及来源存 疑、真伪难辨的数据，进行"技术筛查 ...

全会提出，2026年是"十五五"开局之年，广州将开启巩固优势、提升位势、塑造胜势，率先基本实现社 会主义现代化的关键时期。做好2026年工作，要坚持以习近平新时代中国特色社会主义思想为指导，认 真落实党的二十届四中全会部署，深入学习贯彻习近平总书记关于党的建设的重要思想、关于党的自我 革命的重要思想，认真落实习近平总书记对广东、广州系列重要讲话和重要指示精神，持续深化正风肃 纪反腐，以更高标准更实举措推进全面从严治党，推进新时代新征程纪检监察工作高质量发展，为"十 五五"时期广州经济社会发展提供坚强保障。 第一，坚守护航大局政治站位，进一步做深做实政治监督。严明政治纪律、换届纪律，推动全市党员干 部树立和践行正确政绩观，配合抓好联动巡视反馈意见整改工作。聚焦新阶段粤港澳大湾区建设、现代 化产业体系建设、南沙开发开放、纵深推进"百千万工程"、高质量推进城市更新等战略任务，实化监督 重点、强化部门联动，推动各级党组织凝心聚力抓落实。 （2026年1月30日中国共产党广州市第十二届纪律检查委员会第六次全体会议通过） 中国共产党广州市第十二届纪律检查委员会第六次全体会议，于2026年1月30日举行。出席这次全会的 有 ...

会议指出，要深化思想认识、提高政治站位，切实增强抓好数字赋能工作的责任感、紧迫感，抢 抓数字变革机遇，以大数据、信息化为一体推进"三不腐"注入新动能，持续纵深推进全省正风肃 纪反腐工作。要把准工作思路，锚定平台"从有到优"、数据"从分到统"、模型"从建到用"的总体 思路，推动"两个平台""两个中心"完善功能、释放潜能，规范省市县三级数据全流程标准，依 托"四川数字政府"建设建立跨部门常态协作机制，规范部门数据共享流程，持续把数字赋能引向 深入。要抓实重点任务，以大数据资源中心和大数据办案中心建设为牵引，大力推进监督数字 化、办案智能化、办公便利化，有力提升工作质效。 会议要求，各级各部门要高度重视、扛牢责任、加压推进，确保圆满完成今年数字赋能各项目标 任务。要强化组织保障，持续把数字赋能作为"一把手"工程，坚持和完善专班工作机制。要强化 人才保障，拓宽复合型人才引进培养渠道，推动纪法素养与数字素养深度融合。要强化安全保 障，牢固树立"一失万无"理念，确保数字纪检监察体系建设在法治轨道上安全高效运行。 本报讯（四川日报全媒体记者秦勇）为深入学习贯彻二十届中央纪委五次全会关于加快推进数字 纪检监察体系建设的重要部 ...

Core Viewpoint - The article highlights the implementation and effectiveness of the "Supervision One Point" platform in Quzhou City, Zhejiang Province, which enhances the efficiency and quality of grassroots disciplinary inspection and supervision through digital technology [1][2][4]. Group 1: Digital Supervision Platform - The "Supervision One Point" platform collects complaints and suggestions related to four major categories and 29 types of village-level micro-powers, enabling intelligent analysis and early warning of abnormal behaviors [1][2]. - The platform has integrated 120 public data interfaces to gather relevant data, facilitating a shift from passive response to proactive warning in supervision [1][2]. Group 2: Enhanced Supervision Efficiency - The platform employs a tiered warning system based on the progress and effectiveness of handling reports and complaints, significantly improving the initiative and precision of grassroots supervision [2]. - A recent investigation revealed that village committee members had improperly reimbursed over 20,000 yuan in travel expenses, leading to disciplinary actions and recovery of the funds [2]. Group 3: Financial Management and Risk Control - The platform incorporates a "Three Assets" intelligent management system to address issues related to rural collective financial management, ensuring better oversight and control of contracts and assets [3]. - The city is also developing a one-stop platform for township disciplinary inspection and supervision, providing digital support for daily supervision and case handling [3]. Group 4: Commitment to Digital Transformation - The Quzhou City Disciplinary Inspection and Supervision Commission emphasizes leveraging digital resources and big data to enhance efficiency and support high-quality development in grassroots supervision [4].

Core Viewpoint - The article emphasizes the integration of digital technology into the disciplinary inspection and supervision system, highlighting the importance of big data in enhancing proactive and precise oversight in combating corruption and improving governance efficiency [5][17]. Group 1: Digital Supervision Initiatives - The Hunan Province's Hengyang City is advancing the construction of a digital disciplinary inspection and supervision system, integrating digital technology into various business operations [5]. - The Zhejiang Province's Yongkang City is exploring new paths for digital supervision of rural "three assets" management, aiming to enhance grassroots governance effectiveness [3][5]. Group 2: Data Utilization and Model Development - Hengyang City has established a big data resource center that connects core data from 23 units, facilitating proactive supervision by creating supervision models that identify risk points [6]. - A total of 223 public power big data supervision models have been developed in Jinhua City, generating 6,830 red alerts that have been properly addressed [7]. Group 3: Enhancing Supervision Efficiency - The article discusses the importance of using big data to transition from reactive to proactive supervision, allowing for early detection of potential issues [6][9]. - The establishment of a closed-loop management mechanism for supervision, which includes data acquisition, model creation, alert processing, and governance promotion, is emphasized [8][12]. Group 4: Training and Capacity Building - There is a focus on cultivating a professional team skilled in big data analysis to enhance the precision and effectiveness of disciplinary inspection and supervision [9][10]. - The article highlights the need for continuous training and the establishment of a mechanism for regular skill enhancement among supervisory personnel [10][14]. Group 5: Future Directions and Goals - The article outlines plans to further integrate data resources and optimize supervision models, aiming for deeper data fusion and smarter, more precise oversight mechanisms [14][15]. - The goal is to create a comprehensive digital supervision framework that covers all elements and processes, ensuring effective collaboration across departments and enhancing the overall efficiency of disciplinary inspection work [13][17].