摘要
大数据与社会风险防控都是未来研究的重点,把二者结合将起到事半功倍的作用。数据科学的进步和数据产业的发展,有助于大数据在精准识别风险、科学评估风险、有效预警风险、实时监控风险方面发挥优势,与此同时,大数据时代下社会风险防控在信息技术发展、数据集成挖掘、数据信息公开、数据文化普及方面也面临着不少挑战,可从风险防控理念创新、网络舆情导控机制完善、社会治安防控体系优化、大数据人才引进培养四个方面进行改进和提升,推动社会风险防控的科学化和精准化。
Big data and social risk prevention and control are the focus of future research, and the linkage between them will make things more efficient. The progress of data science and the development of data industry will help big data play an important role in identifying risks accurately, evaluating risks scientifically, and effectively warning and monitoring risks. At the same time, in the era of big data, social risk prevention and control also faces many challenges in the development of information technology, data integration mining, data information disclosure and data culture. It can be improved and promoted from four aspects: innovation of risk prevention and control concept, improvement of internet public opinion guidance and control mechanism, optimization of social security prevention and control system construction, introduction and training of big data talents, so as to promote the realization of society and the scientific and accurate risk prevention and control.
出处
《理论与现代化》
2019年第2期52-57,共6页
Theory and Modernization
基金
2015年度贵州省社科规划青年课题"新常态下贵州社会稳定风险评估机制研究"
课题编号:15GZQN19
贵州省社会科学院2017年院级青年课题"大数据时代背景下贵州社会风险防控机制研究"
课题编号:YJQN2017001
关键词
大数据
社会风险防控
挑战
建构策略
big data
social risk prevention and control
challenges
coping strategies