BCC-SBE: An Urban Sciences Research Coordination Network for Data-Driven Urban Design and Analysis

BCC-SBE：数据驱动城市设计和分析的城市科学研究协调网络

• 批准号: 1244749
• 负责人: Charles Catlett
• 金额: $ 59.26万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1244749&HistoricalAwards=false
• 关键词: BCC; SBE; Urban; Sciences; Research

Global urbanization raises challenges and opportunities related to density and scale in areas including transportation, food production and distribution, human health and wellbeing, education, social policy and services, and management of water and energy. The accelerated creation of city-scale developments and regional megalopolises brings urgency to understanding their impact on the local and regional environment and inhabitants. New computational and information capabilities, along with unprecedented and growing volumes of relevant data, suggest new opportunities to understand the state of urban social and economic systems and to develop calibrated, validated computational models to explore the potential impact of new policies, investments, and accelerating expansion of urban built infrastructure.Researchers recognize the potential for new insights and more effective policy and planning if research teams had the ability to explore these data as an integrated corpus, yet the equilibrium state is one of daunting fragmentation and access restrictions that can only be overcome by a critical mass of researchers and a compelling, broad research agenda that resonates with the near- and long-term challenges of policymakers and citizens. Moreover, new data organization and analysis approaches will require partnerships between social, behavioral, education, and economics scientists and computational scientists.The project will create a research coordination network that brings these communities together to develop an integrated research agenda for an interdisciplinary, data-driven approach to urban research, analysis, and planning, exploring and prototyping methods, processes, tools, and infrastructure necessary to support such science. The RCN will leverage a unique and growing collection of data sets and research teams spanning The University of Chicago, the School of the Art Institute of Chicago, the City of Chicago, and Skidmore, Owings and Merrill, a global architecture firm designing city-scale urban infrastructure.

全球城市化提出了与运输，粮食生产和分销，人类健康与福祉，教育，社会政策和服务以及水和能源的管理在内的与密度和规模有关的挑战和机会。城市规模的发展和区域大都市的加速创造使他们紧迫地了解它们对地方和地区环境和影响者的影响。新的计算和信息能力以及空前和增长的相关数据，提出了了解新的机会，以了解城市社会和经济体系的状况，并开发校准，经过验证的计算模型，以探索探索新政策，投资，投资的潜在影响，并加速了在城市建立基础上的扩展，并探讨了启发的能力，并探讨了更多的计划。语料库，但同等的国家是艰巨的分裂和访问限制之一，只有大量的研究人员和引人注目的广泛研究议程才能克服，这与政治制定者和公民的近期和长期挑战共鸣。此外，新的数据组织和分析方法将需要社会，行为，教育，经济学科学家和计算科学家之间的伙伴关系。该项目将建立一个研究协调网络，该网络将这些社区融合在一起，为跨学科的，数据驱动的方法制定综合研究议程，用于城市研究，分析，探索和原型制定方法，过程，工具，工具和基础架构，以支持这种科学。 RCN将利用跨越芝加哥大学，芝加哥艺术学院，芝加哥市，Skidmore，Owings和Merrill的独特而越来越多的数据集和研究团队，该公司设计了城市规模的城市基础设施。