二十届中央纪委四次全会强调，聚焦"全要素覆盖、全流程贯通、全领域标准、全系统共享"的目标要 求，全面推进纪检监察大数据资源中心建设、公权力大数据监督平台建设、纪检监察大数据办案中心建 设、纪检监察一体化工作平台建设、纪检监察科技装备建设。实践中，河南省周口市纪委监委积极推进 公权力大数据监督平台建设，聚焦获取监督数据、创建监督模型、严密内控机制等方面靶向发力，以大 数据信息化促进监督执纪执法提质增效，为正风反腐工作注入强大动能。 锻造专业队伍，激活信息科技动能。人才是信息化建设的第一资源，锻造高素质专业化队伍是大数据信 息化赋能正风反腐的根本保障。周口市纪委监委坚持把人才建设作为信息化发展的核心支撑，紧扣"业 务+技术"融合需求，建强"数字纪检监察"专业人才库，通过专题培训+实战练兵+轮岗交流等方式系统 开展专题培训，着力培育既懂监督执纪执法业务又擅长运用信息化技术的复合型人才，有效破解业务与 技术"两张皮"难题。针对县乡两级纪检监察机构信息化建设薄弱等问题，深入实施"数字赋能"行动，加 强对基层智慧监督平台一体化建设的指导，组织技术专家开展手把手实操教学、点对点精准帮扶，推动 信息化向基层延伸、向一线覆盖， ...

山东省各级纪检监察机关牢牢把握信息化服务保障监督执纪执法工作基本定位，将大数据信息化赋能作 为推进纪检监察工作规范化法治化正规化建设的重要抓手。省纪委监委印发实施数字纪检监察体系建设 五年规划，建强用好纪检监察大数据资源中心，建设公权力大数据监督平台和大数据办案平台等并持续 深化应用，建立大数据应用协调推进机制，凝聚大数据建设应用合力。 海量准确的数据是大数据赋能正风反腐的基础。实践中，该省纪委监委以持续深化纪检监察体制改革为 牵引，构建起纪检监察机关与审计、统计、财会、税务等其他监督主体监督贯通协调制度体系，有效整 合省公共资源交易中心、12345便民热线等20余家单位监督数据349项，为正风反腐提供有力数据支撑。 济南市纪委监委结合专项监督，选定涉企行政执法管理等16个领域数字监督"小切口"，构建69个分析模 型。德州市纪委监委统筹县（市、区）分别选取2-3个项目建设数据模型，成熟后纳入该市数据监督模 型库共享共用。从黄河重大国家战略专项监督到护航优化营商环境专项行动，再到群众身边不正之风和 腐败问题集中整治……对标党中央重大决策部署和中央纪委国家监委关于反腐败重点工作安排，围绕招 标投标、行政执法等八大 ...

Core Points - The meeting led by Mayor Ma Minglong focused on addressing corruption and misconduct issues affecting the public, emphasizing the importance of implementing directives from Xi Jinping and the spirit of the 20th Central Committee [1][2] - The strategy includes a strong emphasis on case handling as a direct and effective measure, targeting key projects and individuals, and ensuring thorough investigations into corruption cases [1][2] Group 1 - The meeting highlighted the need for continuous promotion of national and provincial key rectification projects, concentrating efforts on 16 specific issues to enhance grassroots engagement and improve the mechanism for addressing public concerns [2] - There is a call for a systematic approach to identify root causes of issues, establish long-term mechanisms for safeguarding public interests, and enhance the effectiveness of grassroots supervision [2] - The importance of accountability at all levels of the party and government was stressed, with a focus on ensuring that the responsibilities are clearly defined and effectively communicated [2]

Core Insights - The Guizhou Provincial Commission for Discipline Inspection and Supervision has implemented a data supervision model to address issues such as delayed high-age subsidies and improper fund allocation, leading to the identification and rectification of these problems [1][2][3] Group 1: Data Supervision Implementation - The establishment of a data supervision model has allowed for the identification of individuals eligible for high-age subsidies who were previously excluded, resulting in corrective actions taken for 9 individuals [1] - The Commission has developed a comprehensive plan with 12 objectives and 32 specific measures to integrate big data into disciplinary supervision, focusing on key areas such as healthcare funds and rural subsidies [1][2] Group 2: Model Development and Effectiveness - The Commission has created 132 big data supervision models across various sectors, leading to the discovery of 1,402 problem cases and the initiation of 1,037 investigations [3] - A specific model was developed to address issues of improper subsidy claims by deceased individuals, resulting in the identification of over 2,200 abnormal data entries and the recovery of more than 800,000 yuan [2][3] Group 3: Training and Capacity Building - To enhance the capabilities of disciplinary inspection personnel in utilizing big data technology, the Commission has conducted training sessions combining theoretical knowledge and practical exercises [4] - The application of big data is increasingly recognized as vital for uncovering issues, facilitating investigations, and strengthening oversight of power operations [4]

Core Insights - The article discusses the application of big data technology in combating corruption and enhancing the efficiency of disciplinary inspection and supervision in Wuzhou, Guangxi [2][3]. Group 1: Implementation of Big Data in Anti-Corruption - Wuzhou's disciplinary inspection and supervision commission has utilized big data analysis to identify irregularities in vehicle inspection agencies, revealing potential collusion between public officials and these agencies [2]. - The commission has established a big data supervision working group to enhance data modeling and analysis, ensuring a precise connection between technology and supervision [3][4]. - The use of big data has led to the identification of key evidence in cases involving high-ranking officials, such as the former chairman of a county investment company, facilitating the investigation process [3][5]. Group 2: Case Studies and Outcomes - In the investigation of a former deputy director of the emergency management bureau, big data analysis helped uncover hidden bribery practices, leading to the official's expulsion from the party and legal consequences [5]. - The commission has shifted from single data analysis to comprehensive data analysis for case handling, demonstrating a proactive approach in utilizing data for broader investigations [4][5]. - Continuous training and capacity building for disciplinary inspection personnel in digital literacy are emphasized to enhance their practical application of big data in investigations [5].

Core Points - The emphasis on strengthening the political responsibility and supervisory responsibility of the Party is a key measure proposed by the Central Committee led by Xi Jinping to promote comprehensive and strict governance of the Party [1][2] - The role of the disciplinary inspection and supervision institutions is crucial in ensuring the implementation of these responsibilities, particularly in the context of ecological civilization construction and high-quality development [1][3] Group 1 - The supervisory responsibilities of the disciplinary inspection institutions are defined by the Party Constitution, which highlights the importance of strengthening the supervision of Party leadership and key leaders [2][3] - The establishment of a comprehensive supervisory system is essential to ensure that there are no gaps in Party supervision, with a focus on the responsibilities of the Party organizations and the supervisory institutions [3][4] Group 2 - The implementation of stationed supervision is a significant institutional arrangement for enhancing intra-Party supervision, ensuring that the responsibilities are clearly defined and effectively executed [3][5] - The need for a robust mechanism to ensure that the directives from the Central Committee regarding ecological and environmental protection are fully implemented is emphasized [5][6] Group 3 - The integration of various supervisory efforts is necessary to create a complete loop of supervision, case handling, and improvement, thereby enhancing the effectiveness of governance [4][6] - The focus on addressing corruption and improving governance through a combination of measures, including the use of big data and targeted investigations, is highlighted [6][7] Group 4 - The importance of accountability in reinforcing the awareness of responsibilities among Party members and leaders is stressed, with a focus on addressing issues such as "good personism" and formalism in supervision [7][8] - The establishment of a clear responsibility system that outlines the roles and expectations for various levels of leadership is crucial for effective governance [8][9] Group 5 - The need for a comprehensive communication mechanism to facilitate collaboration and ensure the effective implementation of responsibilities across different levels of government is emphasized [9][10] - The focus on addressing deep-rooted issues and enhancing the effectiveness of supervision through systematic approaches is critical for achieving the goals of strict governance of the Party [10]

Core Viewpoint - The article emphasizes the importance of maintaining a good work style and a clean political environment as essential for achieving high-quality economic and social development during the 15th Five-Year Plan period [1][2][4]. Group 1: Relationship Between Work Style and Development - A good work style and a clean political environment are interdependent and mutually reinforcing, essential for high-quality development [2][3]. - The discipline and supervision agencies must integrate work style construction into daily education and management of party members, ensuring it is part of the entire process of high-quality development [1][2]. Group 2: Combating Corruption and Improving Business Environment - The article discusses the need to address both corruption and poor work styles simultaneously, as they are interconnected [2][3]. - Emphasis is placed on enhancing collaboration among various supervisory forces to break down information barriers and ensure comprehensive oversight of key projects [3][4]. Group 3: Encouraging Accountability and Performance - The article highlights the importance of unifying strict management and supervision with encouragement for accountability among party members to maximize their initiative and creativity [5][6]. - It suggests establishing a political supervision checklist and problem ledger to address issues of power distortion and misaligned performance views [5][6]. Group 4: Strengthening Support for Cadres - The need for a balanced approach of strict management and supportive measures for cadres is emphasized to foster a positive working atmosphere [6][7]. - The article advocates for addressing false accusations against cadres and providing support for those who have faced disciplinary actions to encourage their reintegration and motivation [6][7].

之前，村头公告栏贴出一个处分通报，原社区干部王某某因套取集体资金被处分，还得退钱。几天后公 告栏又贴出一张关于店马路绿化带的6万多元租金的退款单，我们这时候才知道，原来还有这笔钱。 这绿化带租金，过去确实是笔"糊涂账"。明明是村民组的公有地，租金却年年打进一些人的私人账户， 而且有些社区干部觉得反正是为集体办事，打个招呼就用钱，账目乱得像团麻，村里不少人一直犯嘀 咕，直到镇纪委带着账本上门，对近几年的账逐笔核对才厘清明细，还在账目管理和程序上查出了好多 问题，发现了社区干部王某某套取集体资金的事情。 过去，村里人常念叨说，集体的钱像流水，流到哪儿谁也说不清，村里有不少"糊涂账"。但这两年，大 伙儿看着镇纪委的干部们较真发力，村里的账厘清了，心里也跟着亮堂起来。 孟永龙，安徽省肥东县包公镇王集社区村民。 纪委的干部们还盯着立下规矩。现在，每月都有镇纪委干部来村里检查，重点查集体资金是否公款私 存。镇农经站的人也常来"回头看"，生怕问题反弹。现在村里人都说，社区干部们办事规矩多了，再也 没人敢乱碰集体的钱。 如今，社区的公示栏也能看到账目明细，手机里的小微权力"监督一点通"平台还能随时查到社区每个月 的收支情况， ...

Core Insights - The article emphasizes the integration of big data technology in enhancing supervision and anti-corruption efforts within the Chinese governance framework, particularly in the financial sector [3][4][13]. Group 1: Big Data Utilization in Supervision - Wuhan's financial oversight bodies are employing big data analysis to conduct thorough investigations into complex financial transactions involving multiple parties and significant amounts [3]. - The use of big data models has led to the identification of fraudulent activities, such as a case involving a nursing home that misappropriated state pension funds, resulting in criminal charges against involved individuals [3][4]. - The city has seen a significant increase in the application of big data models across various sectors, including rural finance, healthcare funds, and enterprise law enforcement [4][10]. Group 2: Case Studies and Practical Applications - Newzhou District's investigation into a union's misuse of medical assistance funds was expedited by a big data model that sifted through over 1 million records to identify fraudulent claims [5]. - The establishment of a "digital canteen" monitoring platform for schools aims to enhance transparency in school meal funding and procurement processes, utilizing big data models to detect anomalies [11]. - The integration of big data models in the healthcare sector has led to the identification of over 200,000 suspicious data points related to potential violations, facilitating corrective actions [10]. Group 3: Systematic Approach to Data Management - The article discusses the need for a comprehensive data-sharing platform that integrates resources from various departments, enhancing the effectiveness of big data supervision [14][15]. - A focus on training and developing personnel skilled in data analysis and application is crucial for improving the capabilities of supervisory bodies [15]. - The establishment of a closed-loop management mechanism is highlighted as essential for ensuring effective governance and accountability across different sectors [10].

Group 1 - The core viewpoint emphasizes the importance of enhancing supervision capabilities through big data analysis to identify corruption and misconduct effectively [1][2][3] - The establishment of a big data supervision platform is highlighted as a key initiative to promote standardized and legalized disciplinary inspection and supervision work [1] - The integration of data resources among various departments is crucial for improving governance and ensuring collaborative supervision rather than isolated efforts [1] Group 2 - The creation of a big data case handling center aims to address new and hidden forms of corruption by utilizing advanced data analysis and artificial intelligence techniques [2] - Training programs for personnel in big data analysis and technology application are essential for enhancing the capacity to conduct preliminary investigations effectively [2] - The use of the "Ganxintong" data analysis system is emphasized to strengthen data analysis capabilities and improve the identification of new types of corruption [2] Group 3 - The implementation of a "data closed loop" is necessary to ensure comprehensive governance, allowing for the identification of potential risks and weaknesses in power operations [3] - A closed-loop governance chain is proposed to enhance the process of discovering, reporting, rectifying, and providing feedback on issues identified through data analysis [3] - Emphasis is placed on maintaining data security and compliance through strict supervision and approval processes for data usage [3]