：大数据兴起将会对公安情报学特别是其研究范式产生深刻影响。公安情报学既要利用大数据来完善其研究范式，又要避免大数据对它的发展造成不利影响。为此，大数据环境下公安情报学现有研究范式（情报主导警务范式）必须作出调整：将数据纳入公安情报学研究对象，将公安情报应用列为公安情报学的重要研究内容，将多学科交叉研究方法引入公安情报学。公安情报学将大数据融入其研究范式，还应避免大数据所存在的偏失：倚重相关关系分析而忽视因果关系分析，崇尚数据万能而忽视人的智能，崇拜技术至上而取消人的主体地位。

Big data will inevitably have a profound impact on public security intelligence science and its research paradigm. Public security intelligence science needs to make use of big data to improve its research paradigm, and to avoid negative effects of big data on its development. Therefore, under big data environment, the existing research paradigm of public security intelligence science (intelligence-led policing) must be adjusted: data being one of the research objects, intelligence application becoming important research content, and the multidisciplinary research methods being introduced into the science. The research paradigm, with big data integrated, should avoid the problems of the latter: relying on correlation analysis but ignoring causality analysis; advocating universal data but despising people's intelligence; worshiping technology but neglecting the dominant position of human being.