安徽宿松:数字赋能监督 规范基层"微权力"运行

Core Insights - The article highlights the effective use of big data technology by the Suosong County Discipline Inspection Commission to monitor and address issues related to grassroots public power, specifically in preventing fraud in agricultural subsidies [1][2] Group 1: Implementation of Big Data Supervision - Suosong County has established a grassroots public power big data supervision platform to quickly identify and address issues, exemplified by a recent case of village officials fraudulently obtaining land fertility protection subsidies [1] - The county's Discipline Inspection Commission has focused on the standardized operation of "micro-power" at the grassroots level, utilizing big data to enhance the efficiency of problem detection and resolution [1] Group 2: Data Integration and Model Development - To tackle the challenges of fragmented and isolated supervision data, the county has initiated a data-sharing mechanism with relevant departments, collecting key data on subsidies, project funds, and official information [1] - The county has developed multiple big data supervision models, including 21 models focused on specific risks and violations, allowing for precise identification of problem clues through automated data comparison [1] Group 3: Response Mechanisms and Results - A comprehensive mechanism for handling warning information has been established, ensuring no backlog or omissions, with a full cycle of discovery, assignment, verification, rectification, and feedback [2] - This year, the county has resolved 369 warning issues and imposed disciplinary actions on 23 individuals, demonstrating a commitment to addressing public concerns through rapid investigation and resolution [2]