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

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(少数)有关可持续和韧性城市发展的挑战。 RCN团队将解决有关使用这些重要资源的关键问题,以及城市少数基础设施以持续交付商品和服务的相互联系。 RCN将特别考虑人口增长,城市化,衰老基础设施和极端天气的影响,进行这些询问。通过科学和工程原理和工具,利益相关者的参与以及对城市利益概念的利用,RCN将促进方案驱动的科学进步,这将有助于健康,繁荣,公平,可持续性,可持续性和富有弹性的城市未来。 RCN将帮助建立城市系统研究的最前沿的网络和伙伴关系,在城市中综合的系统和计划,并提高对与资源分配相关的相互依存,约束和权衡的理解。城市 - 利润RCN将执行以下操作:1。为存在当前知识差距的领域开发研究方向; 2。在整合城市的框架上建立共识,少数基础设施研究; 3。创建一个网络联盟,以加深现有的早期合作; 4。为具有不同背景的学生制定动态教育计划; 5。扩展网络并评估网络活动的成功。 RCN将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的学术联盟将与代表行业和社区利益相关者的城市机构,非政府机构以及其他合作伙伴一起加入,以解决未来少数基础设施的技术,社会和经济属性。 RCN将启动一个多学科财团,以提高以下知识和见解:1)建模城市系统的开发和运营的多尺度方法,从高忠诚度(在空间和时间上解决)到汇总模型; 2)建模框架,能够捕获当前和未来的系统动力学,以模拟土地使用,极端天气和对城市供应基础设施的影响,以确保足够的分配和存储容量; 3)增强关键基础设施系统监视,分析和预测建模的感应和控制; 4)教育和终身学习少数研究的创新,以及5)利益相关者参与,共同识别和共同培训与关键城市基础设施系统有关的知识和解决方案的最佳实践,将科学与实际实施相关联。 RCN将与纽约市NYIT,NYU和CUNY之间的科学合作作为协调团队,包括亚利桑那州立大学,新泽西州立大学,新泽西州理工学院,罗切斯特技术学院,斯坦福大学,斯坦福大学,伊利诺伊州伊利诺伊州理工学院,由德克萨斯州科技大学,路易斯安那州大学,科技大学,吉尔哥大学,吉尔哥尼亚大学,吉尔维亚大学,吉尔维亚大学,吉尔维亚大学,吉尔维亚大学,高等教育,高等教育,曾经的高级科技大学,高等教育,曾经是georgia Instralion,Georgia Instralion,Georgia Instralion,Georgia Instralion,Georgia Instralion,Georgia Instralion of Hore o.来自加拿大的麦吉尔大学,德国的HFT Stuttgart,以及中国的中国金融大学。 City-As-LAB RCN将拥有包括合并爱迪生公司和国家电网在内的行业和公用事业合作伙伴利益相关者,以及纽约市机构合作伙伴,包括长期计划办公室,卫生部,卫生部,环境保护部,环境保护部以及纽约市住房管理局等。一个重大而持久的影响是,RCN将与来自整个网络的初级学者和学生一起吸引他们,并通过数据,现场经验和与利益相关者的互动形成的镜头来成为全球可持续发展学者对少数Nexus的了解。 RCN还将为强烈的文化多样性,工程领域和其他STEM领域的领导以及来自代表性不足的群体的学生提供机会,并培训下一代的研究人员和城市设计师,具有必要的多学科背景,以建立健康,繁荣,富有弹性的未来,这反映了NSF的法定宣传和宽广的授权,这是NSF的法定及其范围的影响,这是众所周知的范围。 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
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Ziqian Dong其他文献

Deception Detection on the Internet
互联网上的欺骗检测
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

Ziqian Dong的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ 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

相似国自然基金

DIO2介导甲状腺激素T3调控胆固醇代谢促进乳腺癌肝转移的机制研究
  • 批准号:
    82203811
  • 批准年份:
    2022
  • 资助金额:
    20 万元
  • 项目类别:
    青年科学基金项目
T3/p65/Arg-II途径调控线粒体IDH/ATP能量代谢介导甲减诱发房颤的机制研究
  • 批准号:
    82000323
  • 批准年份:
    2020
  • 资助金额:
    24 万元
  • 项目类别:
    青年科学基金项目
TGR5在长期热量限制小鼠棕色脂肪T3转换下降和体重反弹中的作用
  • 批准号:
    81800756
  • 批准年份:
    2018
  • 资助金额:
    21.0 万元
  • 项目类别:
    青年科学基金项目
IGF-1 介导的 T3 预处理在新生小鼠梗死心肌再生过程中的作用及机制研究
  • 批准号:
    81570333
  • 批准年份:
    2015
  • 资助金额:
    60.0 万元
  • 项目类别:
    面上项目
番茄材料对疮痂病菌T3小种侵染响应的细胞学机理研究
  • 批准号:
    31501753
  • 批准年份:
    2015
  • 资助金额:
    23.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Collaborative Research: CyberTraining: Implementation: Medium: T3-CIDERS: A Train-the-Trainer Approach to Fostering CI- and Data-Enabled Research in Cybersecurity
协作研究:网络培训:实施:中:T3-CIDERS:一种培训师培训方法,促进网络安全中的 CI 和数据支持研究
  • 批准号:
    2320998
  • 财政年份:
    2023
  • 资助金额:
    $ 74.71万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Implementation: Medium: T3-CIDERS: A Train-the-Trainer Approach to Fostering CI- and Data-Enabled Research in Cybersecurity
协作研究:网络培训:实施:中:T3-CIDERS:一种培训师培训方法,促进网络安全中的 CI 和数据支持研究
  • 批准号:
    2320999
  • 财政年份:
    2023
  • 资助金额:
    $ 74.71万
  • 项目类别:
    Standard Grant
INFEWS/T3 RCN: Cultivating a National Collaborative for Research on Food, Energy, and Water Education (NC-FEW)
INFEWS/T3 RCN:建立食品、能源和水教育研究国家合作组织 (NC-FEW)
  • 批准号:
    2242276
  • 财政年份:
    2022
  • 资助金额:
    $ 74.71万
  • 项目类别:
    Continuing Grant
The study for the relationship of low T3 syndrome with incident cardiovascular disease and death in the Japanese urban population
日本城市人口低 T3 综合征与心血管疾病发生率和死亡关系的研究
  • 批准号:
    21K10513
  • 财政年份:
    2021
  • 资助金额:
    $ 74.71万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development of new diagnostic and therapeutic methods for MCT8 deficiency and large-scale analysis in a big city
开发针对 MCT8 缺陷的新诊断和治疗方法以及大城市的大规模分析
  • 批准号:
    21K07783
  • 财政年份:
    2021
  • 资助金额:
    $ 74.71万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了