智慧刑侦建设中大数据应用的现实困境与优化路径

Realistic Challenges and Optimization Pathways of Big Data Application in Smart Criminal Investigation Construction

摘要

在数字中国与平安中国建设深度推进背景下，大数据技术已成为智慧刑侦建设的核心支撑，有效破解传统刑侦诸多难题，在实战中彰显巨大价值。但受多重因素影响，其应用仍面临数据治理不完善、技术适配性不足、人才供给短缺、制度体系不健全等现实困境，制约技术赋能效能释放。本文结合智慧刑侦大数据应用实践现状，剖析困境具体表现与深层成因，从数据治理、技术适配、人才建设、制度保障四个维度提出优化路径，推动大数据与刑侦工作深度融合，释放赋能效能，助力智慧刑侦高质量发展，提升刑事侦查现代化水平，为建设更高水平的平安中国提供支撑。

Abstract

Against the backdrop of deepening the construction of Digital China and Safe China, big data technology has become the core support for the construction of intelligent criminal investigation, effectively solving many problems in traditional criminal investigation and demonstrating enormous value in practical combat. However, due to multiple factors, its application still faces practical difficulties such as incomplete data governance, insufficient technological adaptability, shortage of talent supply, and incomplete institutional system, which restrict the release of technological empowerment efficiency. This article combines the current situation of the application of big data in smart criminal investigation, analyzes the specific manifestations and deep causes of difficulties, and proposes optimization paths from four dimensions: data governance, technology adaptation, talent construction, and institutional guarantee. It promotes the deep integration of big data and criminal investigation work, unleashes empowerment efficiency, assists in the high-quality development of smart criminal investigation, enhances the modernization level of criminal investigation, and provides support for building a higher level of safe China.

关键词

智慧刑侦 / 大数据应用 / 优化路径 / 复合型人才 / 警企研用

Key words

Intelligent criminal investigation / Big data applications / Optimize the path / Inter-disciplinary talent / Police enterprise research and application

参考文献

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