1、附件一：大会主题说明大数据 随着新一代信息通信技术的飞速发展和应用普及，大数据成为继云计算、物联网、移动互联网之后的新热点。大数据已成为重要的战略资源，正在改变着科学、工程、医疗卫生、金融、商业并最终改变社会本身。大数据促进了IT和产业跨界深度融合，成为加快智慧城市建设，促进信息消费，推动经济社会转型发展的新引擎。当前，中国正在制定“互联网+”行动计划，推动各行各业依托大数据，创新商业模式实现融合发展，推动提升科学决策和管理水平，为大数据的发展提供了重大机遇。但从全球范围来看，大数据研究和发展也面领着诸多挑战，如缺乏大数据发展顶层战略、公共平台体系和产业引导政策，缺乏完善的大数据的信息安全机制
2、以及适应大数据环境下高效数据分析与获取需求的数据建模、存储、分析方法、工具、平台与信息服务模式。解决这上述问题的关键是建立大数据研究和应用的工程科学体系和信息服务的管理科学体系。Big data With the rapid development and applications of modern Information and Corresponding Technologies, Big Data, following Cloud Computing, Internet of Things and Mobile Internet, has been becoming a new hot
3、 topic in both the academia and industry. As one of the important strategic resources, Big Data is extensively affect the science, engineering, health care, finance, business and ultimately changing the society itself. It facilitates the cross-border integration between IT and industry by promoting
4、the construction of smart cities, promotes information consumption, as well as the transformation and development of our current economy and society. China today is formulating the Internet + plan, which is aimed at promoting the innovation of business model and scientific decision making which prov
5、ides broad chance for big data analysis and application. However, the research and development of Big Data face many challenges from a global perspective, such as lacking of the top-level design, public platform system, industry policy and information security mechanism, especially the methods, tools and platforms of data modeling, storage, analysis and service. To solve all these problems, the key is to vigorously develop the big data engineering and construct the theoretical & practical systems of big data information service management.
