基于大数据的政府治理综合示范应用

将大数据技术应用于政府治理，是实现精准治理、智慧决策的重要途径。本项目以政府治理大数据的应用需求为牵引，以天河二号超级计算机系统为基本平台，针对政府治理大数据面临的理论基础、数据管理技术、数据分析处理技术等多方面的挑战，进行全面、系统的技术研究，设计构建社会治安综合治理背景下的重点区域监控预警系统，为大数据用于政府治理提供示范。项目主要解决三个方面的科学问题：1)大数据应用于政府治理的基本理论和体制机制，2)面向多源、异构、异质政府治理大数据的管理和存储技术，3)针对政府治理活动的高频实时、深度定制、跨组织数据整合等特征，以及天河二号异构体系结构、层次化存储等特征的政府治理大数据分析处理技术。项目的实施将为政府治理大数据提供理论和技术基础，并通过示范应用带动广州市、广东省以及国家层面的政府治理大数据的应用和推广。

Big data is perceived to be a promising technology to enable precision public governance. This project aims to study how to applying big data into public governance activities. We will analyze the requirements of government, with which typical applications of governance big data will be designed and implemented, on top of the computing platform of the Tianhe-2 supercomputer system. The key challenges in this project lie in three aspects: 1) lack of basic theories and mechanisms for the use of big data in public governance; 2) lack of storage and management technologies for multi-source, multi-structure, heterogeneous data in public governance; 3) lack of data processing and analyzing framework and key algorithms suitable for the requirements of public governance and the characteristics of Tianhe-2 system architecture. .The research of this project covers all the key issues of a distributed parallel big data system, including theoretical study, computing paradigm, high performance computing, application software development, etc. With these work, an application of key public area monitoring and analysis will be developed as a comprehensive example of big data based public governance. The conduction of this project will facilitate the development of big data technologies in public governance, and also promote the merging of supercomputing paradigm and MapReduce based distributed paradigm.