EAGER: IMPRESS-U Adaptive Infrastructure Recovery from Repeated Shocks through Resilience Stress Testing in Ukraine
EAGER:IMPRESS-U 自适应基础设施通过乌克兰的弹性压力测试从反复冲击中恢复
基本信息
- 批准号:2402580
- 负责人:
- 金额:$ 29.83万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-05-01 至 2026-04-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This IMPRESS-U project is jointly funded by NSF, Estonian Research Council (ETAG), Research Council of Lithuania (LMT), National Science Center of Poland (NCN), US National Academy of Sciences, and Office of Naval Research Global (DoD). The research will be performed in a multilateral international partnership that unites the University of Florida (US), G.E. Pukhov Institute for Modelling in Energy Engineering of the NAS of Ukraine (PIMEE), Kiyv (Ukraine), National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (Ukraine), Institute of Theoretical & Applied Informatics, Gliwice (Poland), Mykolas Romeris University, Vilnius (Lithuania), and Tallinn University of Technology, Tallinn (Estonia). US portion of the collaborative effort will be co-funded by NSF OISE/OD and CISE/CNS. NON-TECHNICAL SUMMARY This funding is awarded through an EAGER proposal, supporting the vital development of the Resilience-Recovery Under Attack (RRUA) framework. Originating in response to global disruptions like the COVID-19 pandemic, supply chain vulnerabilities, and geopolitical conflicts, the project holds significant importance. Focusing on Ukraine's digital services sector, which has faced persistent external shocks due to the ongoing conflict, this initiative is both timely and crucial. The primary objective is to establish connections between Ukrainian scientists and their counterparts in the West, mitigating the isolation caused by geopolitical tensions and fostering a collaborative research network dedicated to systemic resilience. Involving an international partnership comprising the USA, Ukraine, Poland, Estonia, and Lithuania, the project adopts an interdisciplinary approach, leveraging network science, resilience analytics, explainable AI, and digital twin technologies. Beyond enhancing Ukraine's infrastructural resilience, the project aspires to serve as a blueprint for global resilience strategies in analogous contexts.To achieve broader impact, the Dallas-Fort Worth airport will function as the initial RRUA testbed for co-development and training. The RRUA concept and methods will undergo testing in Poland, Estonia, and Lithuania's energy and communications infrastructure, culminating in their application to Ukraine's digital infrastructure. In addition to advancing research goals, this project is steadfast in its commitment to promoting inclusivity in science and engineering. It actively involves junior Ukrainian researchers, facilitating their integration into the global scientific community. Educational opportunities will be offered through digital platforms, workshops, and simulation games, aligning with EU-Ukraine events. These initiatives aim to provide a distinctive learning experience, nurturing a new generation of scientists equipped with the skills to address complex resilience challenges and aligning with the NSF's mission to advance national health, prosperity, and welfare.TECHNICAL SUMMARYThis NSF EAGER project award aims to advance resilience science by developing the Resilience-Recovery Under Attack (RRUA) framework, with a focus on the unique challenges faced by Ukraine's digital services sector. The RRUA framework introduces an innovative and comprehensive approach to resilience science, targeting the complex interdependencies of interconnected infrastructural systems subjected to dynamic threats and shocks. Hence, the project represents a significant leap from traditional resilience strategies that emphasize prevention, instead integrating recovery as a core component of the resilience paradigm. We aim to validate the hypothesis that the recovery and resilience of systems under threats and system response stages to diverse shocks can be quantified via stress-testing of interconnected networks representing their systemic functions. We aim to provide novel insights into the lifecycle of resilience under external shocks during acute and persistent shocks, and in particular quantify the key controllers of each of the resilience-response phases to inform efficient recovery interventions. By employing a multi-faceted methodology combining network science, resilience analytics, explainable AI (xAI), and digital twin technologies, the project seeks to redefine systemic recovery modeling and adaptation of interconnected infrastructure across Ukraine, benefiting from the shared knowledge of our proposed international partnership with the USA, Ukraine, Poland, Estonia, and Lithuania. The project utilizes a three-pronged approach: refining RRUA using data-rich analyses at a US-based international airport, testing concepts and methods in Poland, Estonia and Lithuania testbeds, including human behavior components of vulnerability, and subsequently integrating RRUA within Ukraine's cyber and energy infrastructure systems in the presence of dynamic threats and variable data. Success could revolutionize Ukraine's prospects for recovery, positioning it as a global example for resilience strategies. Our research design will collaboratively explore how to operationalize our RRUA framework across varied settings.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IMPRESS-U项目由NSF、爱沙尼亚研究理事会(ETAG)、立陶宛研究理事会(LMT)、波兰国家科学中心(NCN)、美国国家科学院和全球海军研究办公室(DoD)共同资助。这项研究将在一个多边国际合作伙伴关系中进行,该合作伙伴关系将佛罗里达大学(美国),通用电气公司(GE)联合起来。基辅(乌克兰)乌克兰国家科学院能源工程普霍夫建模研究所(Pukhov Institute for Modeling in Energy Engineering of NAS of Ukraine)、乌克兰国立技术大学“伊戈尔·西科斯基基辅理工学院”(乌克兰)、格利维采(波兰)理论应用信息学研究所、维尔纽斯(立陶宛)米克拉斯·罗梅里斯大学(Mykolas Romeris University)和塔林(爱沙尼亚)塔林理工大学(Tallinn University of Technology)。美国部分的合作将由NSF OISE/OD和CISE/CNS共同资助。这笔资金是通过EAGER提案授予的,支持攻击下恢复能力(RRUA)框架的重要发展。该项目旨在应对COVID-19大流行、供应链脆弱性和地缘政治冲突等全球中断,具有重要意义。乌克兰的数字服务业由于持续的冲突而面临持续的外部冲击,这一举措既及时又至关重要。主要目标是在乌克兰科学家与西方同行之间建立联系,减轻地缘政治紧张局势造成的孤立,并促进致力于系统复原力的合作研究网络。该项目涉及包括美国,乌克兰,波兰,爱沙尼亚和立陶宛在内的国际合作伙伴关系,采用跨学科方法,利用网络科学,弹性分析,可解释的人工智能和数字孪生技术。除了增强乌克兰基础设施的复原力外,该项目还希望成为类似背景下全球复原力战略的蓝图。为了实现更广泛的影响,达拉斯-沃斯堡机场将作为RRUA联合开发和培训的初始测试平台。RRUA的概念和方法将在波兰、爱沙尼亚和立陶宛的能源和通信基础设施中进行测试,最终应用于乌克兰的数字基础设施。除了推进研究目标外,该项目还坚定地致力于促进科学和工程的包容性。它积极吸收乌克兰初级研究人员参与,促进他们融入全球科学界。教育机会将通过数字平台,研讨会和模拟游戏提供,与欧盟-乌克兰活动保持一致。这些举措旨在提供独特的学习体验,培养新一代科学家,他们具备应对复杂复原力挑战的技能,并与NSF促进国家健康、繁荣和福利的使命保持一致。技术总结这个NSF EAGER项目奖旨在通过开发攻击下的复原力-恢复(RRUA)框架来推进复原力科学重点关注乌克兰数字服务部门面临的独特挑战。 RRUA框架为弹性科学引入了一种创新和全面的方法,针对受到动态威胁和冲击的相互关联的基础设施系统的复杂相互依赖关系。因此,该项目是对强调预防的传统复原力战略的重大飞跃,而不是将复原作为复原力模式的核心组成部分。 我们的目标是验证的假设下的威胁和系统响应阶段的系统的恢复和弹性,以不同的冲击可以量化通过压力测试的互连网络代表其系统功能。我们的目标是提供新的见解,在外部冲击下的韧性在急性和持续冲击的生命周期,特别是量化每个应变响应阶段的关键控制器,以告知有效的恢复干预。通过采用多方面的方法,结合网络科学,弹性分析,可解释人工智能(xAI)和数字孪生技术,该项目旨在重新定义乌克兰互联基础设施的系统恢复建模和适应,受益于我们与美国,乌克兰,波兰,爱沙尼亚和立陶宛拟议的国际合作伙伴关系的共享知识。 该项目采用三管齐下的方法:在美国国际机场使用丰富的数据分析来完善RRUA,在波兰,爱沙尼亚和立陶宛测试平台测试概念和方法,包括脆弱性的人类行为组件,随后在动态威胁和可变数据的情况下将RRUA整合到乌克兰的网络和能源基础设施系统中。成功可能会彻底改变乌克兰的复苏前景,使其成为全球韧性战略的典范。我们的研究设计将共同探索如何在不同的环境中实施我们的RRUA框架。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)
数据更新时间:{{ journalArticles.updateTime }}
{{
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 }}
Rafael Munoz-Carpena其他文献
Rafael Munoz-Carpena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('Rafael Munoz-Carpena', 18)}}的其他基金
U.S.-Costa Rican Workshop: Interdisciplinary workgroup on water sustainability in the Tempisque Basin; Palo Verde NP, Costa Rica, April 2012
美国-哥斯达黎加研讨会:坦皮斯克盆地水可持续性跨学科工作组;
- 批准号:
1132832 - 财政年份:2011
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant
相似海外基金
Collaborative Research: EAGER: IMPRESS-U: Groundwater Resilience Assessment through iNtegrated Data Exploration for Ukraine (GRANDE-U)
合作研究:EAGER:IMPRESS-U:通过乌克兰综合数据探索进行地下水恢复力评估 (GRANDE-U)
- 批准号:
2409395 - 财政年份:2024
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant
EAGER: IMPRESS-U: Gradient surface nanostructuring with short laser pulses
EAGER:IMPRESS-U:使用短激光脉冲进行梯度表面纳米结构
- 批准号:
2406599 - 财政年份:2024
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant
EAGER: IMPRESS-U: High-throughput agile interfaces for cell sorting
EAGER:IMPRESS-U:用于细胞分选的高通量敏捷接口
- 批准号:
2401713 - 财政年份:2024
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant
EAGER: IMPRESS-U: Quantum dynamics in novel chalcogenide materials and devices
EAGER:IMPRESS-U:新型硫族化物材料和器件中的量子动力学
- 批准号:
2403609 - 财政年份:2024
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant
EAGER: IMPRESS-U: Exploratory Research on Generative Compression for Compressive Lidar
EAGER:IMPRESS-U:压缩激光雷达生成压缩的探索性研究
- 批准号:
2404740 - 财政年份:2024
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant
EAGER: IMPRESS-U: Random Matrix Theory and its Applications to Deep Learning
EAGER:IMPRESS-U:随机矩阵理论及其在深度学习中的应用
- 批准号:
2401227 - 财政年份:2024
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant
EAGER: IMPRESS-U: Developing new approaches and structural materials to rebuild damaged Ukrainian infrastructure with environmental sustainability considerations
EAGER:IMPRESS-U:开发新方法和结构材料,在考虑环境可持续性的情况下重建受损的乌克兰基础设施
- 批准号:
2412196 - 财政年份:2024
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant
EAGER: IMPRESS-U: Exploratory Research in Robust Machine Learning for Object Detection and Classification
EAGER:IMPRESS-U:用于对象检测和分类的鲁棒机器学习的探索性研究
- 批准号:
2415299 - 财政年份:2024
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant
Collaborative Research: EAGER: IMPRESS-U: Groundwater Resilience Assessment through iNtegrated Data Exploration for Ukraine (GRANDE-U)
合作研究:EAGER:IMPRESS-U:通过乌克兰综合数据探索进行地下水恢复力评估 (GRANDE-U)
- 批准号:
2409396 - 财政年份:2024
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant
EAGER: IMPRESS-U: Modeling and Forecasting of Infection Spread in War and Post War Settings Using Epidemiological, Behavioral and Genomic Surveillance Data
EAGER:IMPRESS-U:使用流行病学、行为和基因组监测数据对战争和战后环境中的感染传播进行建模和预测
- 批准号:
2412914 - 财政年份:2024
- 资助金额:
$ 29.83万 - 项目类别:
Standard Grant