【作者】 林茂；

【导师】 施雷格；

【作者基本信息】 四川大学 ， 公共管理（专业学位）， 2021， 硕士

【摘要】 中央纪委第十八届第七次会议专门针对严肃查处群众身边的不正之风和腐败问题做出重大部署,传递出强烈的基层反腐败信号。此后,中央纪委各次全会都将持续整治群众身边腐败和不正之风纳入部署要求中。面对复杂纷繁的腐败行为,传统的反腐败模式需要与时俱进,需要各级党委政府探索运用最新的科技手段,提高反腐败工作成效。在区(市)县级,腐败的行为更加多样化,并且延伸到社会的各个“神经末端”。大数据时代的到来,开启了反腐败的新模式,特别是针对工作项目更为繁琐、工作流程更加多样的基层政府各部门及公务人员,运用大数据监督其履职过程、寻找腐败,能让腐败无处藏身。大数据其海量的信息、快速地获取信息和注重相关关系的特点可更好地适用于当今隐蔽化、智能化的腐败行为。个人基本信息、工作概况、人际关系、诚信档案、财务支出状况等都属于大数据的一部分,这些数据都为反腐倡廉提供了重要的信息来源。本文首先通过理论研究,对大数据反腐败进行了介绍。之后,针对成都市P区近几年开展大数据反腐败工作进行详细分析,介绍了P区运用大数据在审查调查阶段、预防腐败阶段、政治生态研判、廉政风险防控和监督中的运用,并分别介绍了运行现状。笔者通过深度参与成都市P区大数据反腐败工作,进一步观察分析P区在工作中存在的问题及其原因。最后,采用理论和实证相结合的方式,阐释了P区运用大数据反腐败的解决之策。P区运用大数据反腐败工作中存在的主要问题为:大数据未在反腐败工作中充分应用,反腐败管理主体能动性不足,公共数据孤岛及关键数据缺失,缺乏大数据反腐败管理规范,大数据反腐败普及困难。根据分析的成都市P区大数据反腐败存在问题的原因寻找解决方法,并创新提出适用于对该区的大数据反腐败体系构成五大要素:大数据反腐败应用目标要素:应用方向明确、运营合规、风险管控;主体要素:管理主体、应用主体、专家团队、组织及人才支撑;客体要素:反腐败数据资源;运行要素:过程管理、政策与法律法规、标准与指南;工具要素:大数据基础设施、大数据反腐败技术、资金投入、监测工具和效果评估。据此提出解决P区大数据反腐败问题的对策:明确大数据反腐败目标导向,充分挖掘大数据在反腐败中的应用;加强大数据反腐败的组织机构,合理引导管理主体主动作为;夯实大数据反腐败的数据保障,打破信息壁垒;规范大数据反腐败运行过程,建立标准化管理规范;减少大数据反腐败建设的资源浪费,让普及成为可能。更多还原

【Abstract】 The Seventh Meeting of the 18 th Central Commission for Discipline Inspection made major arrangements to seriously investigate and deal with unhealthy practices and corruption around the masses,sending a strong grassroots anti-corruption signal.Since then,the various plenary sessions of the Central Commission for Discipline Inspection have incorporated the continuous rectification of corruption and unhealthy practices around the masses into their deployment requirements.In the face of complex and numerous behaviors of corruption,the traditional anti-corruption model needs to keep pace with the times,and it is necessary for party committees and governments at all levels to explore the use of the latest scientific and technological means to improve the effectiveness of anti-corruption work.At the district and county level,corrupt behavior is more diverse and extends to all "nervous ends" of society.The advent of the era of big data has opened up a new model of anti-corruption,especially for grassroots government departments and civil servants with more cumbersome work projects and more diverse work processes.Using big data to monitor their performance of duties can help corruption has nowhere to hide.Big data’s characteristics of massive information,quick access to information and focus on related relationships can better apply to today’s concealed and intelligent corruption.Basic personal information,job profiles,interpersonal relationships,integrity files,financial expenditures,etc.are all part of big data.These data provide an important source of information for fighting corruption and advocating integrity.This article first introduces big data anti-corruption through theoretical research.After that,a detailed analysis of the big data anti-corruption work carried out in the P District of Chengdu in recent years was carried out,and the application of big data in the P District in the review and investigation stage,corruption prevention stage,political ecology research and judgment,and anti-corruption risk prevention and supervision was introduced.And respectively introduced the current status of operation.The author deeply participates in the big data anti-corruption work of P district in Chengdu,and further observes and analyzes the problems and their reasons in the work of P district.Finally,using a combination of theory and empirical methods,the solution to the use of big data in the P District to combat corruption is explained..The main problems in the use of big data in anti-corruption work in P District are: big data is not fully used in anti-corruption work,anti-corruption management entities are insufficiently active,public data islands and key data are missing,and big data anti-corruption management standards are lacking.It is difficult to popularize data anti-corruption.According to the analysis of the reasons for the big data anti-corruption problems in the P District of Chengdu,we find solutions,and innovatively propose five elements of the big data anti-corruption system applicable to the district: big data anti-corruption application target elements: clear application direction,Operational compliance,risk management and control;main elements:management main body,application main body,expert team,organization and talent support;object element: anti-corruption data resources;operation element:process management,policies and laws and regulations,standards and guidelines;tool elements: Big data infrastructure,big data anti-corruption technology,capital investment,monitoring tools and effect evaluation.Based on this,countermeasures to solve the problem of big data anti-corruption in P area are proposed: clarify the goal orientation of big data anti-corruption,fully explore the application of big data in anti-corruption;strengthen the organization of big data anti-corruption,and rationally guide management entities to take the initiative;consolidate The data protection of big data anti-corruption breaks information barriers;standardizes the operation process of big data anti-corruption and establishes standardized management standards;reduces the waste of resources in the construction of big data anti-corruption,and makes popularization possible.更多还原