INFEWS/T3 RCN: City-as-Lab: A Research Coordination Network for the Study of the Food, Energy, and Water Nexus for Sustainable and Resilient Urban Development
INFEWS/T3 RCN:城市实验室:研究粮食、能源和水关系以促进可持续和有复原力的城市发展的研究协调网络
基本信息
- 批准号:1856032
- 负责人:
- 金额:$ 74.71万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-07-15 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award supports a Research Coordination Network (RCN) to address the challenges associated with the Food, Energy, and Water (FEW) nexus for sustainable and resilient urban development. The RCN team will tackle key questions regarding the use of these vital resources, and the interconnectedness of urban FEW infrastructure for the sustained delivery of goods and services. The RCN will carry out these inquiries with particular consideration of the effects of population growth, urbanization, aging infrastructure, and weather extremes. Through science and engineering principles and tools, stakeholder engagement, and the utilization of the City-as-Lab concept, the RCN will facilitate scenario driven scientific advancements that will contribute to a healthy, prosperous, equitable, sustainable, and resilient urban future. The RCN will help foster networks and partnerships at the forefront of urban systems research, advancing integrated FEW systems and planning in cities, and elevating understanding of interdependencies, constraints, and trade-offs associated with resource allocation. The City-as-Lab RCN will carry out the following: 1. Develop research directions for the areas where current knowledge gaps exist; 2. Develop consensus on a framework for integrated urban FEW infrastructure research; 3. Create a networking consortium to deepen existing early-stage collaborations; 4. Develop a dynamic education program for students with diverse backgrounds; 5. Expand the network and evaluate the success of the network activities. The RCN will be managed by a team of five principal investigators, coordinating a network of academic and nonacademic institutions in the U.S. and abroad. The RCN's academic consortium will be joined by city agency, nongovernmental and other partners representing industry and community stakeholders, united to address technological, social, and economic attributes of the urban FEW infrastructure of the future. The RCN will launch a multidisciplinary consortium to advance knowledge and insights on the following: 1) multiscale approaches to modeling urban systems' development and operations, ranging from high fidelity (spatially and temporally resolved) to aggregated models; 2) modeling framework capable of capturing current and future system dynamics to simulate the impacts of land use, extreme weather, and decentralization to urban FEW supply infrastructure, so as to ensure adequate FEW distribution and storage capacity; 3) enhancing sensing and controls for monitoring, analysis, and predictive modeling of critical infrastructure systems; 4) innovations in education and lifelong learning of the study of FEW, and 5) best practices for stakeholder engagement, co-identifying and coproducing knowledge and solutions related to critical urban infrastructure systems, bridging science to practical implementation. The RCN will enhance scientific cooperation among NYIT, NYU, and CUNY in New York City as the coordination team, with the partner universities including Arizona State University, New Jersey Institute of Technology, Rochester Institute of Technology, Stanford University, the Illinois Institute of Technology, Texas A&M University, Louisiana State University, Georgia Institute of Technology, and the University of Michigan, strengthened through international collaborating partners from McGill University in Canada, HFT Stuttgart in Germany, and the Chinese University of Finance and Economics in China. The City-as-Lab RCN will have industry and utilities partner stakeholders including Consolidated Edison Company and National Grid, as well as NYC agency partners including the Office of Long-Term Planning, Department of Health, Department of Sanitation, Department of Environmental Protection, and the New York City Housing Authority, among others. A significant and long-lasting impact is that the RCN will engage junior scholars and students from across the network and mentor them to become global sustainability scholars knowledgeable about the FEW nexus through a lens shaped by data, field experiences, and engagement with stakeholders. The RCN will also provide opportunities for strong cultural diversity, leadership of women in engineering and other STEM fields, and students from underrepresented groups, and for training the next generation of researchers and urban designers with the necessary multidisciplinary background to build a healthy, prosperous, and resilient future.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该奖项支持研究协调网络(RCN),以应对与粮食,能源和水(FEW)关系相关的挑战,以实现可持续和有弹性的城市发展。RCN团队将解决有关使用这些重要资源的关键问题,以及城市FEW基础设施的相互联系,以持续提供商品和服务。RCN将特别考虑人口增长、城市化、基础设施老化和极端天气的影响进行这些调查。通过科学和工程原则和工具,利益相关者的参与以及城市作为实验室概念的利用,RCN将促进情景驱动的科学进步,这将有助于健康,繁荣,公平,可持续和有弹性的城市未来。RCN将帮助在城市系统研究的最前沿建立网络和伙伴关系,推进综合FEW系统和城市规划,并提高对与资源分配相关的相互依赖性,限制和权衡的理解。城市实验室RCN将开展以下工作:1.为目前存在知识差距的领域制定研究方向; 2.就综合城市FEW基础设施研究框架达成共识; 3.建立一个网络联盟,以深化现有的早期合作; 4.为不同背景的学生制定动态教育计划; 5.扩大网络并评估网络活动的成功。RCN将由一个由五名主要研究人员组成的团队管理,协调美国和国外的学术和非学术机构网络。RCN的学术联盟将由城市机构,非政府组织和代表行业和社区利益相关者的其他合作伙伴加入,联合起来解决未来城市FEW基础设施的技术,社会和经济属性。RCN将启动一个多学科联盟,以推进以下方面的知识和见解:1)多尺度方法来模拟城市系统的发展和运作,从高保真度,(空间和时间分辨)到聚合模型; 2)能够捕捉当前和未来系统动态的建模框架,以模拟土地使用,极端天气和分散化对城市FEW供应基础设施的影响,以确保足够的FEW分配和存储容量; 3)增强用于关键基础设施系统的监测、分析和预测建模的感测和控制; 4)教育和终身学习方面的创新,5)利益相关者参与的最佳做法,共同确定和共同产生与关键城市基础设施系统有关的知识和解决方案,将科学与实际执行联系起来。RCN将加强纽约理工学院,纽约大学和纽约市立大学之间的科学合作,作为协调小组,与合作大学包括亚利桑那州立大学,新泽西理工学院,罗切斯特理工学院,斯坦福大学,伊利诺伊理工学院,得克萨斯&农工大学,路易斯安那州立大学,格鲁吉亚理工学院和密歇根大学,通过来自加拿大麦吉尔大学、德国斯图加特HFT和中国财经大学的国际合作伙伴,城市即实验室RCN将拥有行业和公用事业合作伙伴利益相关者,包括联合爱迪生公司和国家电网,以及纽约市机构合作伙伴,包括长期规划办公室,卫生部,卫生部,环境保护部和纽约市住房管理局等。一个显著而持久的影响是,RCN将吸引来自整个网络的初级学者和学生,并指导他们通过数据,实地经验和利益相关者参与形成的透镜,成为了解FEW关系的全球可持续发展学者。RCN还将为强大的文化多样性,工程和其他STEM领域的女性领导以及代表性不足的群体的学生提供机会,并培训下一代研究人员和城市设计师,以建立一个健康,繁荣,该奖项反映了NSF的法定使命,并通过使用基金会的智力价值进行评估,被认为值得支持和更广泛的影响审查标准。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
E-Voting Meets Blockchain: A Survey
- DOI:10.1109/access.2023.3253682
- 发表时间:2023
- 期刊:
- 影响因子:3.9
- 作者:Maria-Victoria Vladucu;Z. Dong;Jorge Medina;R. Rojas-Cessa
- 通讯作者:Maria-Victoria Vladucu;Z. Dong;Jorge Medina;R. Rojas-Cessa
A computational approach for real-time stochastic recovery of electric power networks during a disaster
- DOI:10.1016/j.tre.2022.102752
- 发表时间:2022-07
- 期刊:
- 影响因子:0
- 作者:Alireza Inanlouganji;Giulia Pedrielli;T. Reddy;Fernando Tormos Aponte
- 通讯作者:Alireza Inanlouganji;Giulia Pedrielli;T. Reddy;Fernando Tormos Aponte
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Ziqian Dong其他文献
Deception Detection on the Internet
互联网上的欺骗检测
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Xiaoling Chen;R. D. Perera;Ziqian Dong;R. Chandramouli;K.P. Subbalakshmi - 通讯作者:
K.P. Subbalakshmi
Classification and visualization tool for gait analysis of Parkinson's disease
用于帕金森病步态分析的分类和可视化工具
- DOI:
10.1109/embc.2016.7591215 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
U. Pun;Huanying Gu;Z. Dong;N. S. Artan;Huanying Gu;Ziqian Dong - 通讯作者:
Ziqian Dong
Ziqian Dong的其他文献
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{{ truncateString('Ziqian Dong', 18)}}的其他基金
RAPID: Acquisition and curation of time-sensitive field data from severely flooded neighborhoods in New York City from tropical storm Ophelia for environmental sustainability study
RAPID:从热带风暴奥菲莉亚纽约市严重洪水淹没的社区获取和管理时间敏感的现场数据,用于环境可持续性研究
- 批准号:
2402240 - 财政年份:2023
- 资助金额:
$ 74.71万 - 项目类别:
Standard Grant
EAGER SitS: Autonomous Soil Nutrient Sensing System
EAGER SitS:自主土壤养分传感系统
- 批准号:
1841558 - 财政年份:2018
- 资助金额:
$ 74.71万 - 项目类别:
Standard Grant
Belmont Forum Food-Water-Energy Nexus: Integrated analysis and modeling for the management of sustainable urban Food Water Energy Resources
贝尔蒙特论坛食物-水-能源关系:可持续城市食物水能源管理的综合分析和建模
- 批准号:
1830718 - 财政年份:2018
- 资助金额:
$ 74.71万 - 项目类别:
Continuing Grant
Urban Infrastructures Workshop: Analysis and Modeling for their Optimal Management and Operation
城市基础设施研讨会:优化管理和运营的分析和建模
- 批准号:
1762212 - 财政年份:2017
- 资助金额:
$ 74.71万 - 项目类别:
Standard Grant
REU Site: Research on Security of Mobile Devices and Wireless Networks
REU 网站:移动设备和无线网络安全研究
- 批准号:
1559652 - 财政年份:2016
- 资助金额:
$ 74.71万 - 项目类别:
Standard Grant
REU Site: Research on Security of Mobile Devices and Wireless Networks at New York Institute of Technology
REU 网站:纽约理工学院移动设备和无线网络安全研究
- 批准号:
1263283 - 财政年份:2013
- 资助金额:
$ 74.71万 - 项目类别:
Standard Grant
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Collaborative Research: CyberTraining: Implementation: Medium: T3-CIDERS: A Train-the-Trainer Approach to Fostering CI- and Data-Enabled Research in Cybersecurity
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