[目的/意义] 在大数据时代，大数据是安全情报学所面临的客观环境。因此，探讨大数据环境下安全情报学的变革与发展是非常必要的。[方法/过程] 基于学科高度，聚焦于大数据环境下安全情报学的顶层设计，运用理论思辨和比较分析方法，依次探讨大数据环境下安全情报学的研究资源、研究任务、学科属性、方法论与研究内容的变革与发展。[结果/结论] 研究发现，大数据可以拓展与深化安全情报学的学科研究资源和任务，强化安全情报学的交叉综合属性和理工科特征。在大数据环境下，安全情报学方法论的革新需从研究范式、思维和具体方法3方面着手。同时，大数据会渗透、融入至传统的安全情报学研究内容，引出一系列新的安全情报学研究课题。
[Purpose/significance] In the era of big data (BD), safety & security intelligence (SI) science is facing an objective environment, that is the BD environment. Therefore, at present, it is the right time to discuss the changes and development of SI science in the BD environment. [Method/process] On the disciplinary level, focusing on the top-level design of SI science in the BD environment, and by using theoretical speculation and comparative analysis methods, this paper analyzed the change and development of research resources, research tasks, disciplinary attributes, methodology and research contents of SI science in the big data environment respectively. [Result/conclusion] Results of this study show that, BD can expand and deepen the disciplinary research resources and tasks of SI science, and can enhance the cross-comprehensive feature and the feature of science and engineering of SI science. In the BD environment, the innovation of the disciplinary methodology of SI science should be innovated from three aspects, namely, the research paradigm, the research thought, and the specific research method. Moreover, BD can permeate and integrate into the traditional research content of SI science, this can propose a series of new research topics of SI science.
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