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

该奖项为参与一个由55个国家发起的全球变化研究计划通过贝尔蒙特论坛竞争性选定的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联盟，专注于支持以跨学科方法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，加速开展最迫切需要的国际研究，以消除对可持续性的关键障碍。每个伙伴国都在一个联合体内为其研究人员提供资金，以减轻跨越国际边界的资金需求。这种办法有助于有效地利用国家资源，支持对具有全球相关性的专题进行出色的研究，最好通过多国办法加以解决，同时认识到全球挑战需要全球解决办法。该奖项支持美国研究人员在由至少三个参与国的合作伙伴组成的财团中开展合作，以满足日益增长的需求，即评估和减少灾害风险、与广泛的利益相关者合作共同设计复原力战略，以及以科学和技术加强对灾害的反应。该奖项旨在为特大城市的备灾和应对灾害设计一个可复制和可转移的信息共享系统。这样的系统将在面对洪水、地震和火灾等快速发生的灾难时立即做出反应。本项目选择的案例研究是东京、台北和纽约市，因为它们的城市环境复杂，人口多样化，这给灾害管理带来了挑战。为了应对动态的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，同时纳入传感器数据和利益攸关方的参与。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和对这些事件的反应。这项研究将试图改进损害预测和响应建模，并将设计一个用于灾害管理的实时预警和响应系统。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 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.