大数据视阈下公职人员廉政风险动态监测及预警

廉政风险防控具有前瞻性和高效益,属治本之策。大数据为公职人员廉政风险防控提供了新的研究视角和方法,可通过协同联动的廉政风险防控平台深度挖掘规模剧增的海量数据进行动态监测及预警。基于目前理论研究和实践现状,以公职人员为无差别微观研究主体,将公职人员廉政风险预警流程设计为廉政风险信息采集、廉政风险信息分析、廉政风险信息评估、廉政风险信息处理四部分,利用大数据量化研判,实现公职人员个体相关数据的分析评估和实时监测,可及时防控和遏制腐败行为的发生。

Dynamic Monitoring and Early Warning of Integrity Risks with Government Employees Based on Big Data

Forward-looking and effectiveness in the prevention of integrity risks are of fundamental importance.Big data has provided new perspectives and methods in the study of related areas,dynamics supervision and prevention made possible by means of the mass data collected from the platform for coordinated prevention of integrity risks indicating the sharp increase in volume.Based on the current status of theoretical study and practice,government employees taken as micro-study subjects,the procedure for the prevention of such risks can be divided into four parts,namely,data collection,data analysis,data evaluation,and data treatment.Quantified analysis based on big data helps realize the analysis and evaluation of individual government employees and real-time supervision,timely prevention and containment of corruption made possible.