大数据监督是规范公权力的重要方式，天津市纪委监委统筹一体推进公权力大数据监督，运用大数据手 段开展重点领域日常监督，不断提高监督穿透力，精准发现不正之风和腐败问题。 滨海新区纪委监委建立大数据监督平台，汇总区民政、农业农村、医保等18个领域的数据信息，搭建监 督模型，通过分析比对，筛查异常信息。此前，该区纪委监委以惠民惠农补贴发放等领域突出问题为切 入点开展监督，通过大数据监督平台，发现区内部分涉农街镇在惠民惠农补贴资金发放上存在异常。 "比对分析结果显示，有公职人员参与了集体经济组织分红。"滨海新区纪检监察大数据监督服务中心相 关负责人介绍，借助监督模型智能比对，大幅缩短了核查时间，有效提升发现问题的效率和精准度。 中央纪委国家监委网站 薛阳 近日，天津市东丽区纪委监委工作人员再次来到华明街道，重点检查惠民惠农补贴发放问题整改情况。 前不久，该区纪委监委监督检查组在华明街道发现一项涉及违规申领惠民惠农补贴的问题。经查，华明 街道永和股份经济合作社在向街道办事处申请秸秆综合利用补贴资金时，虚报农作物种植面积，违规申 领补贴款用于合作社日常支出。东丽区纪委监委对相关责任人给予党纪处分，并将合作社在惠民惠农政 策 ...

同时，"数据跑腿+智能研判"模式推动监督工作从被动事后追查向主动识别风险和精准防控转变。该市 纪委监委联合住建部门开发公租房管理智能监管模块，该模块部署了收入异常、重复享受保障等7类数 据模型，能够自动对接房产登记等外部数据库，实现对公租房分配、使用、退出全流程的实时动态监测 与智能预警。 日前，湖南省常德市安乡县某公职人员因醉驾被公安机关当场查获。交警录入信息后，常德市纪委监委 开发的酒驾醉驾违法人员信息智能比对系统迅速触发预警。其后，经纪检监察机关审查调查，该名公职 人员被给予开除党籍处分和开除公职处分，其涉嫌危险驾驶问题由公安机关依法移送检察机关提起公 诉。 这起问题的快速精准查处，得益于常德市纪委监委与交警部门联合开发的"智慧护廉"小程序。该程序内 嵌于市纪委监委的智慧纪检监察大数据平台，平台一旦识别出相关违纪违法人员的公职人员身份，便会 触发预警信号，实现"比对—预警—推送"的全流程闭环管理。 着眼于促进监督执纪执法提质增效，常德市纪委监委持续探索建立数字纪检监察体系，构建大数据监督 平台，依靠大数据分析精准发现不正之风和腐败问题线索，以大数据信息化赋能正风反腐。 该市纪委监委以酒驾醉驾为切入点，通 ...

Group 1 - The Chengdu Municipal Commission for Discipline Inspection and Supervision has established a supervision model for fraudulent investment attraction subsidies by compiling lists of subsidy recipients, non-taxpaying enterprises, and canceled enterprises over the past five years [1] - The commission has identified six warning issues and initiated four cases through data comparison and analysis regarding the effective use of financial funds and the standardized performance of public officials [1] - Chengdu's disciplinary inspection and supervision agencies are enhancing the use of big data, focusing on areas with concentrated power, dense funds, and rich resources, such as finance, state-owned enterprises, energy, engineering construction, and bidding [1] Group 2 - The commission's stationed institutions utilize statistical, analytical, auditing, and warning modules from their host units' information systems to screen for abnormal data [2] - The supervision team at the Chengdu Municipal Planning and Natural Resources Bureau discovered issues related to unrectified illegal land use in Chongzhou and Longquanyi districts through system comparison functions [2] - Chengdu is exploring a mechanism for automatic online data flow and offline verification and feedback, enhancing the responsibility for problem data handling and improving work efficiency [2]

Group 1 - The core viewpoint of the articles emphasizes the use of big data to enhance supervision and prevent corruption related to public vehicle usage in Yinchuan, Ningxia [1][2] - The Yinchuan Discipline Inspection and Supervision Commission has developed a big data supervision system called "Wisdom Eye" to monitor fuel card usage and identify potential violations such as private use of public vehicles [1] - The system utilizes various warning models based on fuel consumption patterns, such as "holiday consecutive refueling counts," to detect irregularities in public vehicle usage [1] Group 2 - The public vehicle management department in Yinchuan has implemented a digital reform through an intelligent control system that monitors vehicle operations in real-time, ensuring comprehensive management of public vehicle applications, dispatching, and settlements [2] - All non-emergency vehicle requests must be pre-approved and documented, with strict monitoring of driving routes to prevent unauthorized use of public vehicles [2] - The city has established a cashless settlement process for fuel, maintenance, and other services, along with an electronic file system for each vehicle to track maintenance records, mileage, and fuel consumption [2] Group 3 - Employees in Yinchuan have reported a significant change in work culture, with increased adherence to regulations and a shift towards using public transportation for official duties, reducing personal use of public vehicles [3]

Group 1 - The core viewpoint of the article is that Shenyang, Liaoning Province, is utilizing big data supervision models to combat irregularities in bidding and tendering processes, enhancing the ability to detect issues and convert leads into actionable insights [1][4][6] - The establishment of various supervision models, such as the "Mark King" model and compliance review models for agencies, aims to identify suspicious entities with abnormally high winning rates and address issues related to proxy agencies [1][5] - The use of big data has significantly improved the efficiency and accuracy of investigations, allowing for a comprehensive analysis of bidding data and the identification of potential corruption cases [4][5] Group 2 - In response to irregularities observed during the renovation of old residential areas, Shenyang's disciplinary inspection and supervision authorities have implemented data comparison methods to uncover suspicious patterns in project bidding [2][4] - The city has coordinated with relevant departments to gather a vast amount of data, including 15.18 million records related to construction projects and government procurement, to enhance oversight capabilities [5] - The integration of AI technology with existing supervision models is being explored to further address issues such as collusion and manipulation in the bidding process, leading to increased market activity [6]

Group 1 - The article highlights the discovery of collusion among three companies in bidding for village-level engineering projects, leading to investigations into four party members [1] - The Shashi District Discipline Inspection Commission has implemented a comprehensive data-driven supervision process to identify and address irregularities in the bidding process [1] - A total of 6,125 data entries were analyzed to identify key elements and pinpoint abnormal data, revealing hidden violations in the bidding sector [1] Group 2 - The district's commission has urged relevant departments to learn from typical cases and address gaps in the bidding process, leading to the development of new management guidelines [2] - Specific measures have been proposed to enhance supervision of bidding processes across various sectors, identifying 36 integrity risk points and 11 regulatory measures [2]

Core Points - The article discusses the implementation of a collaborative mechanism in Gansu Province's Lanzhou City to enhance grassroots supervision and address issues related to weak oversight in rural areas [1][2][3] Group 1: Mechanism Implementation - Lanzhou's Discipline Inspection and Supervision Commission has established a collaborative mechanism involving "team members + discipline inspection offices + stationed institutions + several town streets" to facilitate information sharing and resource integration among grassroots supervisory bodies [1] - The mechanism aims to overcome the challenges posed by the "familiar society" in grassroots supervision, enhancing the effectiveness of oversight in towns, villages, and communities [1][2] Group 2: Operational Strategies - The city has innovated work models, guiding collaborative areas to conduct cross-checks, joint inspections, and elevated handling of cases, focusing on areas such as village-level "micro-power," management of rural collective "three assets," and the implementation of benefit policies [2] - Regular cross-checks are organized for key areas like village financial expenditures and project construction, addressing the inadequacies in grassroots supervisory capabilities [2] Group 3: Data Utilization and Accountability - The city’s discipline inspection and supervision bodies are leveraging big data to enhance supervision, analyzing data from various departments to identify anomalies in benefit distribution and rural asset management [3] - A "grasping area and linking counties" mechanism has been established, with city leaders responsible for specific areas to ensure accountability and task execution [3]

Group 1 - The core issue of misappropriation of collective funds in rural areas has been addressed, with the recovery of over 600,000 yuan and improved transparency in financial management [1] - The disciplinary inspection and supervision agencies in Chongzuo City have focused on issues such as mismanagement of rural collective "three funds," resulting in 145 cases investigated and 132 individuals punished [1] - A special inspection team was formed to ensure timely distribution of dividends from collective funds, recovering over 8.89 million yuan in overdue dividends for collective economic members [1] Group 2 - The use of "big data" has been emphasized to enhance the effectiveness of supervision, with the establishment of online platforms for real-time monitoring of village affairs and collective asset transactions [2] - Efforts are being made to address issues related to the management of rural "three funds," including annual audits and regular supervision, with 855 village economic responsibility audits completed, recovering 885,000 yuan for collective funds [2]

Group 1 - The core viewpoint of the articles is the innovative use of big data by the Shenyang Sujiatun District Commission for Discipline Inspection and Supervision to address issues related to the misappropriation of subsistence allowances for vulnerable groups [1][2] - A case was uncovered where a village committee member misappropriated subsistence funds intended for a sick individual, highlighting the lack of oversight in the management of these funds over a four-year period [1] - The district's disciplinary body has taken measures to ensure accountability by imposing party disciplinary actions on responsible officials and issuing supervisory recommendations to relevant departments [1] Group 2 - The district's Commission for Discipline Inspection and Supervision is pushing for the refinement of the "Registration System for Proxy Collection of Assistance Funds" to enhance the regulation of the collection process and supervision mechanisms [2] - A self-inspection initiative has been launched across 12 streets in the district to identify and recover funds from individuals who fraudulently claimed assistance [2] - The overall goal is to ensure that social assistance resources are distributed fairly and to promote a more standardized and rigorous approach to social assistance work in the Sujiatun District [2]

Group 1 - The core viewpoint of the articles emphasizes the use of big data technology by the Beihai Municipal Commission for Discipline Inspection and Supervision to enhance supervision and prevent corruption in rural collective asset management and subsidy distribution [1][2][3][4] Group 2 - Beihai City has implemented a rural collective asset supervision platform that has successfully completed the leasing of 85 acres of idle aquaculture water surface within half a month, thus preventing asset waste [1] - The platform monitors 14 preset risk points related to rural collective asset transactions, enabling real-time alerts for abnormal situations such as idle assets and overdue rental payments [1] - The platform has issued 47 alerts regarding abnormal situations and potential risks this year, showcasing its effectiveness in real-time monitoring [1] Group 3 - The establishment of a big data analysis platform has allowed the identification of potential fraudulent activities, such as the repeated distribution of sugarcane seed subsidies, leading to the investigation and punishment of responsible individuals [3] - The platform has created seven supervision models focusing on key areas such as livelihood, agriculture, and healthcare, resulting in the identification of 5,442 suspicious data points and the initiation of disciplinary actions against 10 individuals [3] Group 4 - The "Clean Beihai Smart Platform" has been developed to address public complaints and improve work efficiency, establishing a mechanism for information sharing and collaborative supervision [4]