Abstract: 【Purpose/significance】The research on data-driven public security risk governance opens up a data-driven public secu⁃ rity risk governance paradigm for public security risk governance in the era of big data, and provides an important support for advanc⁃ ing the innovation of public security risk governance paradigm.【Method/process】On the basis of systematically sorting out the knowl⁃ edge accumulation and best practices of data-driven public security risk governance in the international context, the theoretical foun⁃ dation, research framework, basic logic, special methodology, platform technology and practice path of data-driven public security risk governance are systematically discussed.【Result/conclusion】From a perspective of dual coupling of public security data governance and risk governance, the data-driven connotation, content, tools and cases of the whole cycle of public security risk governance (in⁃ cluding public security risk identification, risk assessment, risk control and risk communication), as well as the platform, technology and path of data-driven public security risk governance are proposed, presenting the overall paradigm framework of data-driven pub⁃ lic security risk governance.【Innovation/limitation】This book represents a masterpiece on the construction of China's autonomous knowledge system in the field of data-driven public security risk governance, and is of great significance in promoting theoretical inno⁃ vation and practical work in the field of data-driven public security risk governance.