经济犯罪数据学学科体系构建的基本思路

Basic Ideas for Constructing the Disciplinary System of Economic Crime Data Science

经济犯罪数据学是以违法犯罪数据为主要研究对象,通过定性与定量分析,揭示犯罪特征规律的一门新学科,是犯罪学、侦查学与数据科学等学科交叉融合的产物。相对于飞速发展的数据学科和公安业务实践,经济犯罪数据学理论研究呈现出一定的滞后性,根本原因在于学科定位模糊、学科方向不明、研究队伍薄弱。经济犯罪数据学学科建设,应该坚持开放共享理念,走协同创新与产教融合之路;依托科技发展,汲取其先进成果以丰富学科内涵;制定“两步走”战略,构建多层次人才培养体系,在实践创新与理论创新的良性互动中向前发展。

The science of economic crime data is a new discipline that takes criminal data as the main research object,reveals the law of criminal characteristics through qualitative and quantitative analysis,and is the product of the cross integration of criminology,investigation and data science.Compared to the rapidly developing data discipline and public security business practice,the theoretical research of economic crime data science shows a certain lag.The fundamental reason is that the subject positioning is vague,the subject direction is unclear,and the research team is weak.The construction of the discipline of economic crime data science should adhere to the concept of openness and sharing,and take the path of collaborative innovation and integration of industry and education.Rely on technological development and drawon its advanced achievements to enrich the connotation of the discipline.Develop a"two-step"strategy,build a multi-level talent training system,and move forward in the positive interaction between practical innovation and theoretical innovation.