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

这一美日联合研究项目旨在将“数字孪生”的概念应用和扩展到灾害科学中，并建立一个“灾害数字孪生”（DDT），利用以人为本的数据来提高社区的抗灾能力。DDT将捕捉灾害的演变及其对人类的影响，通过传感，计算和通信在网络世界中创建近似的复制品。鉴于灾害对老年人的影响不成比例（在日本和美国的灾害中，近75%的死亡率和发病率负担发生在65岁以上的人群中），本项目将重点关注老年人，因为老年人是灾害中需要个性化护理的关键人群。美日团队将设计工具来创建“虚拟灾害城市”（VDC），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的改进。随着数据的不断更新，VDC内部的模型也在不断更新--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。这个美日合作项目的具体研究任务包括：1）利益相关者研讨会，以了解老年人的灾害复原力状况; 2.整合不同的数据源（地理空间和以人为中心）纳入一个新的数据架构，支持多分辨率时空数据的丰富和统一/调整; 3）执行由美国/日本团队的专家使用综合数据开发的物理驱动的灾害模拟;以及4）模拟VDC中的灾害过程和后果，目标是美国西海岸和日本东北地区的老年人和相关灾害，以探索响应决策/政策的最佳性。灾难数字孪生框架和开发的工具将建立在两国PI测试的现有技术基础上：日本开发的多主体灾害模拟框架，以及美国针对老年人的CAREDEX数据交换平台。虽然该项目的重点是在海啸和地震等灾害事件期间为老年人做好备灾准备，拟议的技术有可能广泛用于多种灾害环境中的弱势群体。该项目将为博士和博士后研究人员提供贡献的机会，并让本科生、研究生和少数民族参与开发和加固与我们脆弱人群的抗灾能力有关的系统。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。

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.