Collaborative Research: CPS: NSF-JST: Enabling Human-Centered Digital Twins for Community Resilience

合作研究：CPS：NSF-JST：实现以人为本的数字孪生，提高社区复原力

• 批准号: 2420847
• 负责人: Magaly Koch
• 金额: $ 20.02万
• 依托单位: Trustees of Boston University
• 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: 2024-04-01 至 2027-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2420847&HistoricalAwards=false
• 关键词: Collaborative; Research; CPS; NSF; JST

This US-Japan joint research project aims to apply and expand the concept of “digital twins” into disaster science and build a “Disaster Digital Twin” (DDT) which utilizes human-centered data to improve community resilience. The DDT will capture the evolution of a disaster and its impacts to humans, creating an approximate replica in the cyberworld through sensing, computing, and communication. Given that disasters have a disproportionate impact on older adults (across disasters in Japan and the US, nearly 75% of mortality and morbidity burdens are among those over the age of 65), this project will focus on older adults as the key population with personalized care needs in a disaster. The US-Japan team will design tools to create “Virtual Disaster City” (VDC) with the aim to provide transformative improvements to disaster science by integrating model-driven methods with data driven techniques. As data are continuously updated, so are the models executing within the VDC – as changes occur, new predictions and recommendations will help drive disaster management decisions.Specific research tasks of this collaborative US-Japan project include: 1) stakeholder workshops to understand the older adult disaster resilience landscape; 2) integrate diverse data sources (geospatial and human-centric) into a novel data architecture, that supports enrichment and harmonization/alignment of multiresolution spatiotemporal data; 3) execute physics-driven hazard simulations developed by experts in the US/Japan team using the integrated data; and 4) simulate disaster processes and consequences in VDC with target older adult population and relevant hazards on the US West Coast and Tohoku region in Japan to explore optimality of response decisions/policies. The disaster digital twin framework and tools developed will build upon existing, tested technologies by PIs at both countries: multi-agent disaster simulation framework developed in Japan, and he CAREDEX data exchange platform for older adults in the US.While the project focuses on disaster preparedness for senior populations during hazard events such as tsunamis and earthquakes, the proposed technology has the potential for widespread usage for vulnerable populations in multihazard settings. The project will offer opportunities for PhD and postdoctoral researchers to contribute, as well as involve undergraduates, graduates and minorities to develop and ruggedize systems related to disaster resilience for our vulnerable populations.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.

这个美日联合研究项目旨在将“数字双胞胎”的概念应用和扩展到灾害科学中，并建立一个“灾害数字双胞胎”（DDT），利用以人为中心的数据来提高社区的抵御能力。鉴于灾难对老年人的影响尤为严重（在日本和美国的灾难中，近 75% 的死亡率和发病率）。 65 岁以上人群），该项目将重点关注老年人作为灾难中需要个性化护理的关键人群。旨在通过将模型驱动方法与数据驱动技术相结合，为灾害科学提供变革性改进。随着数据的不断更新，VDC 内执行的模型也会不断更新——随着变化的发生，新的预测和建议将有助于推动灾害管理决策。本次合作的研究任务美国-日本项目包括：1）利益相关者研讨会，以了解老年人的抗灾能力；2）将不同的数据源（以地理空间和人类为中心）整合到一个新颖的数据架构中，支持多分辨率时空数据的丰富和协调/对齐； 3) 由美国/日本团队的专家使用综合数据执行物理驱动的灾害模拟；4) 以美国西海岸的老年人口和相关灾害为目标，模拟 VDC 的灾害过程和后果；灾害数字孪生框架和开发的工具将建立在两国 PI 现有的、经过测试的技术之上：日本开发的多主体灾害模拟框架和 CAREDEX 数据交换。虽然该项目的重点是海啸和地震等灾害事件期间老年人的防灾工作，但拟议的技术有可能广泛用于多灾害环境中的弱势群体。该项目将为攻读博士学位提供机会。和博士后研究人员做出贡献，并让本科生、研究生和少数族裔参与开发和强化与弱势群体抗灾能力相关的系统。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的评估进行评估，被认为值得支持影响审查标准。