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
- 来源:
- 关键词:
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.
网络设计:城市韧性是一个全球性的问题,需要一个全球性的解决方案,但现有的城市韧性研究网络往往是由他们的区域,机构,学科和社会背景形成的。Resilient-NET从技术-社会-气候的综合角度出发,将不同的学科和传统上孤立的网络结合在一起,以解决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。Resilient-NET促进新的跨学科全球合作,协同互补的科学专业知识,并为美国研究人员提供对同类试点项目,数据,平台和研究能力的关键访问,以产生全球影响并加强他们在将恢复力建设到未来城市社会技术系统中的新兴挑战中的领导作用。Resilient-NET为未来的弹性城市生态系统创建了路线图,对美国城市的宜居性和经济可行性产生社会影响。参与网络包括来自亚洲和欧洲的世界知名城市复原力研究中心,跨学科的美国研究社区,NSF资助的极端事件研究网络,联合国人居署以及物联网行业的利益相关者。智慧城市技术和国家实验室。这项合作确定了关键的研究差距和使能能力,通过综合的技术,社会,气候方针。设计活动分为三组。集群1侧重于数字空间-未来城市控制有机体的骨架-如何增强和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的社会弹性和解决耦合基础设施和社会系统所需的新型融合研究结构;集群3加速了对极端事件对未来城市社会技术系统影响的理解,并确定缺乏的能力,使未来的弹性密集的城市环境与气候变化,基础设施重建和数字化的物理基础设施的演变。解决这些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,其范围和规模超出了单一研究社区的能力。通过“弹性网络”建立的国际网络对于加速发现这一领域的知识至关重要,因为它可以抢先体验目前只能从全球合作伙伴获得的新数据和平台,并通过促进知识、数据、和最佳实践分享。通过国际网络间合作加速研究该计划旨在加速科学发现的进程,并为下一代美国研究人员进行多团队国际合作做好准备。该计划支持美国研究网络和海外互补网络之间的战略联系,这些网络将利用研究和教育资源来应对需要重大协调国际努力的重大科学挑战。该项目由国际科学与工程办公室(OISE)资助。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Xiao Liu其他文献
The Quality Of Cluster Randomized Controlled Trials Of Pediatrics Should Be Improved: An Integrative Literature Review
儿科整群随机对照试验的质量应提高:综合文献综述
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
H. Lan;Jianjian Wang;Shouyuan Wu;Q. Guo;Ping Wang;Juanjuan Zhang;Siya Zhao;Xiao Liu;Xingrong Liu;Yaolong Chen - 通讯作者:
Yaolong Chen
PEGylation of platinum bio-electrodes
铂生物电极的聚乙二醇化
- DOI:
10.1016/j.elecom.2012.11.007 - 发表时间:
2013 - 期刊:
- 影响因子:5.4
- 作者:
Zhilian Yue;P. Molino;Xiao Liu;G. Wallace - 通讯作者:
G. Wallace
Determination of l-tryptophan in the presence of ascorbic acid and Q1 dopamineusing poly(sulfosalicylic acid) modified glassy carbon electrode
聚磺基水杨酸修饰玻碳电极在抗坏血酸和 Q1 多巴胺存在下测定 L-色氨酸
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Xi Ba,;Liqiang Luo;Yaping Ding*;Xiao Liu - 通讯作者:
Xiao Liu
Two new quinolone alkaloids from the nearly ripe fruits of Tetradium ruticarpum
黄果近成熟果实中的两种新喹诺酮生物碱
- DOI:
10.1080/14786419.2019.1566819 - 发表时间:
2019-08 - 期刊:
- 影响因子:2.2
- 作者:
Yi-Heng Li;Xiao Liu;Min Yin;Fei Liu;Bi Wang;Xu Feng;Qi-Zhi Wang - 通讯作者:
Qi-Zhi Wang
Density functional theory study of a two-atom active site transition-metal/iridium electrocatalyst for ammonia synthesis
双原子活性位过渡金属/铱合成氨电催化剂的密度泛函理论研究
- DOI:
10.1039/d2ta02642b - 发表时间:
2022 - 期刊:
- 影响因子:11.9
- 作者:
Wei Song;Zhe Fu;Xiao Liu;Yongliang Guo;Chaozheng He;Ling Fu - 通讯作者:
Ling Fu
Xiao Liu的其他文献
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{{ truncateString('Xiao Liu', 18)}}的其他基金
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
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
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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