Belmont Forum Collaborative Research:Data-driven Disaster Response Systems Dependent on Time of Day, Season and Location for Megacities

该奖项为参与由55个国家通过贝尔蒙特论坛发起的全球变化研究项目的美国研究人员提供支持。贝尔蒙特论坛是一个研究资助组织的联盟，致力于支持跨学科方法来应对全球环境变化的挑战和机遇。它的目的是通过协调和调动国际资源，加速提供最迫切需要的国际研究，以消除可持续发展的关键障碍。每个伙伴国在一个联盟中为它们的研究人员提供资金，以减轻对跨越国际边界的资金的需求。这种方法有助于有效利用国家资源，支持对全球相关主题的优秀研究，最好通过多国方法解决，同时认识到全球挑战需要全球解决方案。该奖项将支持美国研究人员与至少三个参与国的合作伙伴组成的联盟合作，以满足日益增长的评估和减少灾害风险的需求，与广泛的利益相关者合作共同设计恢复力战略，并在科学和技术上加强对灾害的反应。该奖项旨在设计一个可复制和可转移的信息共享系统，用于大城市的备灾和救灾。这样的系统可以在面对洪水、地震和火灾等突发灾害时立即作出反应。本项目选择的案例研究是东京、台北和纽约，因为它们的城市环境复杂，人口多样化，这对灾害管理提出了挑战。为了应对动态灾害情景以及城市地区弱势社会经济群体的需求，该项目将整合基于情景和数据驱动的规划，同时结合传感器数据和利益相关者参与。这项工作建议模拟东京的地震和火灾，以及纽约和台北的洪水，并对这些事件做出反应。该研究将尝试改进损害预测和反应模型，并将为灾害管理设计一个实时预警和反应系统。该奖项反映了美国国家科学基金会的法定使命，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 award provides support to U.S. researchers participating in a project competitively selected by a 55-country initiative on global change research through the Belmont Forum. The Belmont Forum is a consortium of research funding organizations focused on support for transdisciplinary approaches to global environmental change challenges and opportunities. It aims to accelerate delivery of the international research most urgently needed to remove critical barriers to sustainability by aligning and mobilizing international resources. Each partner country provides funding for their researchers within a consortium to alleviate the need for funds to cross international borders. This approach facilitates effective leveraging of national resources to support excellent research on topics of global relevance best tackled through a multinational approach, recognizing that global challenges need global solutions. This award provides support for the U.S. researchers to cooperate in consortia that consist of partners from at least three of the participating countries to address the growing need for assessment and reduction of disaster risk, collaborative co-design of resilience strategies with a breadth of stakeholders, and scientifically and technologically enhanced responses to disasters. This award aims to design a replicable and transferrable information-sharing system for disaster preparedness and response in megacities. Such a system would inform immediate response in the face of rapid-onset disasters, such as floods, earthquakes, and fires. Case studies selected for this project are Tokyo, Taipei, and New York City due to their complex urban environments and diverse populations, which present a challenge for disaster management. To address dynamic disaster scenarios as well as the needs of vulnerable socio-economic groups in urban areas, this project will integrate both scenario-based and data-driven planning, while incorporating sensor data and stakeholder engagement. This work proposes to simulate earthquake and fires for Tokyo as well as floods for NYC and Taipei and response to these events. The study will attempt to improve damage prediction and response modeling and will design a real-time warning and response system for disaster management.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.