快速的城市化一方面提供便捷舒适的生活设施和环境；另一方面也产生了如环境污染、公共安全等各种问题，城市的管控面临巨大的挑战。为解决上述问题，一个重要思路是借助两化融合构建智慧城市，推进城市信息化基础设施建设，收集并分析相关数据来管控城市空间的高效运行。虽然浙江省智慧城市建设取得了较大的进展，正在建立省级政务、安全、交通、医疗等各种数据中心。但是，目前的进展均偏向数据中心的基础设施建设、数据集的物理层的聚合和以数据查询与统计分析为主的决策服务。至于如何用好数据，挖掘其所蕴含的价值，还需要从数据层面的整合、分析层面的关联、认知层面的可视分析三个方面进行突破，促使城市大数据从“可用”到“用好”的升华，增强城市管理者对城市复杂空间的管控，提升城市的管理决策水平。本项目将围绕以上三个方面展开工作，研究1）城市大数据的整合与管理；2）城市大数据的关联挖掘与因果推理；3）城市大数据的探索式关联可视分析。

The accelerated pace of urbanization has not only provided convenient and comfortable living facilities and environment, but also led to undesired consequences, such as air pollution and security problems, thus resulting in a big challenge for effective city management. To address the challenges, one important solution is to take advantage of the integration of information technology and industrialization to build smart cities and boost the development of computing infrastructure, such that a variety of urban data can be acquired and analyzed to enhance the decision-making capabilities of government. Zhejiang has achieved certain successes in developing smart cities and is building data centers for public affairs, security, transportation, healthcare, etc. However, the recent progresses mostly focus on the development of computing infrastructure and the usability of the data. To fully utilize the acquired big urban data and make a difference with the data, we should tackle three important issues at three different levels: data integration at the data level, data correlation at the analytics level, and data visualization at the cognitive level to enhance the management and decision-making capabilities of government. Therefore, we propose to conduct research on 1) data integration and management; 2) correlation mining and causal inference; 3) explorative visual analytics of correlation patterns.