论大数据背景下侦查模式的变革

The Reform of Investigation Mode Under the Background of Big Data

大数据技术在侦查领域的深入应用,完善了传统侦查模式在信息载体、侦查思维、侦查理念、证明方式等方面存在的不足。在当前的侦查实践中,侦查信息效应愈发呈现出广泛联系的特征,侦查思维愈发倚重模型化数据分析,犯罪预防之效果愈发彰显。纵然侦查实践中的大数据应用尚存数据真实性、时效性等方面的不足,具体操作应用也存在一定欠缺,但传统侦查模式与大数据背景下的侦查模式必然以融合之态引领实践发展。未来的侦查模式需要在数据本身之严谨性、可操作性、有效监督等方面多予发力,并适当修订侦查程序,保证侦查证明的顺利实现与侦查效益间的有效平衡,以实现案侦率的提升及犯罪预防工作的有效开展,确保国家和社会的长治久安。

The application of big data technology in the field of investigation has improved the shortcomings of traditional investigation mode in information carrier, investigation thoughts, investigation idea and mode of proof. In current investigation, the investigation information effect is connected widely. The investigation thoughts depend even more on the model data analysis, so the crime prevention effect is more obvious. There are shortcomings, such as authenticity, timeliness and operation, in the big data applications of investigation, but the traditional investigation mode and the big data investigation are sure to lead the development inevitably. Future investigation mode needs to focus on its preciseness, operability, effective supervision, etc. The investigation procedure needs to be revised to ensure the balance between the implementation and benefit, and upgrade the case detection rate and the effective crime prevention, which aims to ensure the stability of country and society.