AccelNet-Design: International Networks Towards Future U.S. Urban Resilience (Resilient-NET)

AccelNet-Design:迈向未来美国城市复原力的国际网络 (Resilient-NET)

基本信息

  • 批准号:
    2419490
  • 负责人:
  • 金额:
    $ 24.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-10-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

AccelNet-Design: International Networks Towards Future U.S. Urban Resilience (Resilient-NET)OISE #2201467 LIUUrban resilience is a global issue that requires a global solution, but existing networks on urban resilience research are often shaped by their regional, institutional, disciplinary, and social contexts. Resilient-NET takes an integrated technical-social-climate perspective to bring together disparate disciplines and traditionally isolated networks to address the multitude of challenges faced by urban dwellers. This network integrates climate models into risk and urban logistics models, addresses reliability and logistics problems associated with supply chains, and explores coupling among climate, infrastructural and social systems. Resilient-NET catalyzes new cross-disciplinary global collaborations, synergizes complementary scientific expertise, and provides critical access to one-of-its-kind pilot projects, data, platforms, and research capabilities for U.S. researchers to make global impacts and strengthen their leadership roles on emerging challenges in building resilience into future urban socio-technical systems. Resilient-NET creates a roadmap towards future resilient urban ecosystems, to generate societal impacts on the livability and economic viability of American cities. Participating networks include world-renowned research centers on urban resilience from Asia and Europe, cross-disciplinary U.S. research communities, NSF-funded networks on Extreme Events Research, United Nations’ Habitat Program, and stakeholders from the industry sectors of IoT, Smart Cities technologies and National Labs.This collaboration identifies key research gaps and enabling capabilities in building urban resilience through an integrated technical-social-climate approach. The design activities are organized into three clusters. Cluster 1 focuses on how digital space—the skeletons of future urban cybernetic organisms—can be enhanced and used to improve future urban resilience research; Cluster 2 identifies the new types of convergence research structures needed to improve social resilience in urban environments and address coupled infrastructure and social systems; and Cluster 3 accelerates the understanding of the impacts of extreme events on future urban social-technical systems, and identify the missing capabilities that enable future resilience of dense urban environments evolving with climate change, infrastructure redevelopment, and digitization of physical infrastructure. Addressing these societally important challenges fosters convergence research from data science, logistics, social science, civil engineering, geosciences, and climatology, with a scope and magnitude beyond the capabilities of a single research community. International networks established via Resilient-NET are essential to accelerating the discovery of knowledge in this space through early access to new data and platforms currently only available from global partners and through collaborative efforts which promote knowledge, data, and best practice sharing.The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts. This project is funded by the Office of International Science and Engineering (OISE).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.
Accelnet-Design:针对未来美国城市弹性(弹性网)OISE#2201467 Liuurban弹性的国际网络是一个全球问题,需要全球解决方案,但现有的有关城市弹性研究的网络通常受其区域,制度,学科和社会环境的影响。弹性网络采用综合的技术 - 社会气候观点,将不同的学科和传统孤立的网络汇总在一起,以应对城市居民面临的众多挑战。该网络将气候模型集成到风险和城市物流模型中,解决与供应链相关的可靠性和物流问题,并探索气候,基础设施和社会系统之间的耦合。弹性网络催化了新的跨学科全球合作,使完整的科学专业知识协同,并为美国研究人员提供了独特的飞行员项目,数据,平台和研究能力的关键访问,以使全球影响并加强其在为未来的Urban Socio-Technical系统建立复原力方面的挑战方面发挥其领导作用。弹性网络为未来的弹性城市生态系统创建了路线图,以对美国城市的宜居性和经济可行性产生社会影响。参与的网络包括世界知名的研究中心关于亚洲和欧洲城市韧性的研究中心,跨学科的美国研究社区,NSF资助的极端事件研究网络,联合国的栖息地计划以及来自IoT的行业的利益相关者,IoT的行业,IOT,Smart Cities Technologies and National Labs. 方法。设计活动分为三个集群。集群1的重点是如何增强数字空间(未来城市控制论生物的骨骼),并用于改善未来的城市弹性研究;集群2确定了提高城市环境中社会弹性所需的新类型的融合研究结构,并解决了基础设施和社会系统的耦合;集群3加速了对极端事件对未来城市社会技术系统的影响的理解,并确定了错过的能力,这些功能能够随着气候变化,基础设施重新开发以及物理基础设施的数字化的发展而来的茂密城市环境的未来弹性。解决这些对社会上重要的挑战,促进了数据科学,物流,社会科学,土木工程,地球科学和气候学的融合研究,其范围和幅度超出了单个研究界的能力。通过弹性网络建立的国际网络对于通过早期访问全球合作伙伴的新数据和平台的访问以及通过促进知识,数据和最佳实践共享的合作努力来加速知识至关重要。通过国际网络与网络合作(Accelnet)计划加速研究,旨在为国际科学研究提供了综合研究的过程。 Accelnet计划支持美国研究网络和国外互补网络之间的战略联系,这将利用研究和教育资源来应对需要大量协调国际努力的宏伟科学挑战。该项目由国际科学与工程办公室(OISE)资助。该奖项反映了NSF的法定任务,并使用基金会的知识分子优点和更广泛的影响评估标准,通过评估诚实地认为我们得到了支持。

项目成果

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Xiao Liu其他文献

A Systematic Study on the Relationship Between Viscosity Sensitivity and Temperature Dependency of BODIPY Rotors
BODIPY 转子粘度灵敏度与温度依赖性关系的系统研究
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiao Liu;Weijie Chi;A. Gómez‐Infante;E. Peña‐Cabrera;Xiaogang Liu;Young‐Tae Chang
  • 通讯作者:
    Young‐Tae Chang
Experimental Research on Improvement of Railway Subgrade Loess Fills Using Lime in Northwest China
西北地区铁路路基黄土填方石灰改良试验研究
  • DOI:
    10.4028/www.scientific.net/amr.1079-1080.226
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiao Liu;Youqi Yang;Guo
  • 通讯作者:
    Guo
Lysinuric protein intolerance with novel mutations in solute carrier family 7A member 7 in a Chinese family
中国溶质载体家族 7A 成员 7 中存在新突变的赖氨酸尿蛋白不耐受
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Yilin Pang;Feng Huo;Xiao Liu;Yimu Fan;Zhezhe Zhang;Jie Wu;Quan Wang
  • 通讯作者:
    Quan Wang
Clinical and Genetic Characteristics of East Asian Patients with Occult Macular Dystrophy:East Asia Inherited Retinal Disease Consortium (EAIRDc).
东亚隐匿性黄斑营养不良患者的临床和遗传特征:东亚遗传性视网膜疾病联盟 (EAIRDc)。
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    藤波 芳;藤波(横川)優;Lizhu Yang;Xiao Liu;Gavin Arno;藤波 芳;藤波 芳
  • 通讯作者:
    藤波 芳
Study of nanopowder production by gas-embeded electrical explosion of wire
金属丝气体埋电爆炸制备纳米粉体的研究

Xiao Liu的其他文献

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{{ truncateString('Xiao Liu', 18)}}的其他基金

AccelNet-Design: International Networks Towards Future U.S. Urban Resilience (Resilient-NET)
AccelNet-Design:迈向未来美国城市复原力的国际网络 (Resilient-NET)
  • 批准号:
    2201467
  • 财政年份:
    2022
  • 资助金额:
    $ 24.99万
  • 项目类别:
    Standard Grant
CAREER: Domain-aware Statistical Learning
职业:领域感知统计学习
  • 批准号:
    2143695
  • 财政年份:
    2022
  • 资助金额:
    $ 24.99万
  • 项目类别:
    Standard Grant
Integrating System Physics with Sensor Data for Health Prognostics of Complex Engineered Systems
将系统物理与传感器数据相结合,用于复杂工程系统的健康预测
  • 批准号:
    1904165
  • 财政年份:
    2019
  • 资助金额:
    $ 24.99万
  • 项目类别:
    Standard Grant
RII Track-4: Harnessing Big Event Data with Heterogeneous Feature: Intelligent Food-Borne Outbreak Investigations and Beyond
RII Track-4:利用具有异构特征的大事件数据:智能食源性疫情调查及其他
  • 批准号:
    1929091
  • 财政年份:
    2019
  • 资助金额:
    $ 24.99万
  • 项目类别:
    Standard Grant

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