大数据揭示经济发展状况

准确感知社会经济状态和及时识别应急事件对于智慧社会治理至关重要，然而传统的政府部门数据和统计分析方法无法满足准确性和实时性的需求。近年来，运营商积累的大规模数据，以低获取成本、实时更新和高时空分辨率等优势，为解决问题提供了新思路。
回顾运营商数据结合深度挖掘分析算法在精准扶贫和应急救灾中的具体应用基础上，并进一步讨论了运营商数据在定量评估扶贫和救灾效果、提高决策效率和治理能力等方面的应用前景。

An analysis of the delayed response to Hurricane Katrina through the lens of knowledge management

Accurate perception of socioeconomic status and timely identification of emergencies are critical to smart social governance, however, traditional public sector data and statistical analysis methods cannot meet the accuracy and real-time requirements. Recently, large-scale data accumulated by the private sector, with many advantages including low acquisition cost, real-time updates and high spatio-temporal resolution, provide new directions for tackling the problem.
This paper overviews the application of carrier data in combination with deep mining analysis algorithms on precise poverty alleviation and emergency management, and further discusses some prospects of applying carrier data to quantitatively evaluate the effect of poverty alleviation and disaster relief and to improve the decision-making efficiency and governance capability.