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作 者:杨宗辉[1] 邓志源 YANG Zonghui;DENG Zhiyuan(School of Criminal Justice,Zhongnan University of Economics and Law,Wuhan Hubei 430073,China)
机构地区:[1]中南财经政法大学刑事司法学院,湖北武汉430073
出 处:《河南警察学院学报》2022年第5期107-115,共9页Journal of Henan Police College
基 金:国家社科基金重大项目“数字时代总体国家安全观的理论深化与实践逻辑研究”(22ZDA120);中南财经政法大学中央高校基本科研业务费专项资金资助(202110703);2021年重庆市研究生科研创新项目“数字化时代电信网络诈骗犯罪侦查取证问题研究”(CYB21161)的阶段性成果。
摘 要:大数据对犯罪形态的发展与犯罪治理工作有着深刻的影响。经济犯罪是市场经济下的突出犯罪形式,经侦部门将大数据融入犯罪治理与侦查工作,催生出数据导侦、全景式、犯罪预测型侦查模式。当下经济犯罪预警与侦查回应还存在着软硬件建设不足、区域间差异明显;数据收集不全、数据壁垒严重;思维观念落后、缺乏经侦数据分析人才等问题,对其建构与完善需要在以下几个方面进行:数据平台搭建支持,预测模型建设导引,人才培养机制探索,提升常态化运行机制,建立配套评估反馈机制。Big data has a profound impact on the development of crime patterns and crime governance. Economic crime is a prominent form of crime under the market economy. The economic investigation department has integrated big data into crime governance and investigation, giving rise to data-guided investigation, panoramic, and crime prediction-type investigation mode. The current economic crime early warning and investigation response still has insufficient hardware and software construction, obvious differences between regions;incomplete data collection, serious data barriers;backward thinking concept, lack of economic investigation data analysis talents and other problems. Therefore, its construction and improvement need to be carried out in the following aspects: data platform construction support, predictive model construction guide, talent training mechanism to explore, enhance the normal operation mechanism, and the establishment of supporting assessment feedback mechanism.
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