Belmont Forum Collaborative Research: Advancing Resilience in Low Income Housing Using Climate-Change Science and Big Data Analytics

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。该项目旨在提高生活在灾害多发地区的低收入社区的复原力。重点放在低洼的沿海地区，这些地区在巴西、东非和北美的选定地区有很高的干旱和洪水风险。它通过收集有关潜在地点的基础设施和自然遗产的地理参考数据，发展生活在经济不景气地区和河床地区的人们的地理和社会经济知识。项目团队将使用机器学习和大数据分析方法来确定最优的抗灾能力-考虑到2050年前与气候变化相关的极端天气情景的预测气候变化的城市设计和规划方案。该项目将通过设计和原型使用可持续的当地资源材料的负担得起、抗灾能力强的低收入住房系统来调查技术采用的潜在障碍。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 project seeks to enhance the resilience of low-income communities living in disaster prone areas. The focus is on low-lying coastal zones that have high risks of droughts and floods in selected parts of Brazil, East Africa and North America. It develops the geographic and socio-economic knowledge of persons living in economically depressed and riverbed areas by gathering georeferenced data on infrastructures and natural heritage of potential sites. The project team will use machine learning and big data analytical approaches to identify optimal disaster resilient-housing urban design and planning packages considering projected climate change related extreme weather scenarios until 2050. The project will investigate potential barriers to technology adoption through designing and prototyping an affordable, disaster-resilient, low-income housing system that use sustainable locally resourced materials.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.