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

这项美日联合研究项目旨在将“数字双胞胎”的概念应用并扩展到灾害科学中，建立一个利用以人类为中心的数据来提高社区复原力的“灾害数字双胞胎”(DDT)。DDT将捕捉灾难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一个近似的复制品。鉴于灾难对老年人的影响不成比例(在日本和美国的灾难中，近75%的死亡率和发病负担是65岁以上的人)，该项目将把重点放在老年人作为灾难中具有个性化护理需求的关键人群。美国-日本团队将设计工具来创建“虚拟灾难城市”(VDC)，目的是通过将模型驱动的方法与数据驱动的技术相结合，为灾难科学提供变革性的改进。随着数据的不断更新，在VDC内执行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，以了解老年人的灾难恢复能力；2)将不同的数据源(地理空间和以人为中心)集成到一个新的数据架构中，支持多分辨率时空数据的丰富和协调/排列；3)执行由美国/日本团队的专家使用集成数据开发的物理驱动的危险模拟；以及4)以美国西海岸和日本东北地区的目标老年人口和相关危险为目标，模拟VDC的灾害过程和后果，以探索响应决策/政策的最优化。开发的灾害数字孪生框架和工具将建立在两国PI现有的、经过测试的技术的基础上：日本开发的多代理灾害模拟框架，以及美国老年人的CAREDEX数据交换平台。虽然该项目侧重于在海啸和地震等灾害事件中为老年人做好灾害准备，但拟议的技术有可能在多危险环境中广泛应用于脆弱人群。该项目将为博士和博士后研究人员提供做出贡献的机会，并让本科生、研究生和少数族裔参与为我们的弱势群体开发和加固与灾难恢复相关的系统。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.