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

贝尔蒙特论坛合作研究：利用气候变化科学和大数据分析提高低收入住房的抵御能力

基本信息

批准号：
2019754
负责人：
Esther Obonyo
金额：
$ 30万
依托单位：
Pennsylvania State Univ University Park
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-04-15 至 2024-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019754&HistoricalAwards=false
关键词：
Belmont Forum Collaborative Research Advancing

项目摘要

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.

该奖项为参加一个由55个国家通过Belmont论坛进行全球变更研究的计划竞争性选择的项目提供了支持。 Belmont论坛是一个研究资助组织的财团，专注于支持全球环境变化挑战和机遇的跨学科方法。它的目的是加快迫切需要的国际研究的交付，以通过结盟和动员国际资源来消除可持续性的关键障碍。每个合作伙伴国家为财团内的研究人员提供资金，以减轻资金越过国际边界的需求。这种方法促进了国家资源的有效利用，以支持通过跨国方法解决全球相关性主题的出色研究，并认识到全球挑战需要全球解决方案。该奖项为美国的研究人员提供了支持，以在财团中合作，由来自至少三个参与国家的合作伙伴组成，以解决日益增长的评估和减少灾害风险的需求，与利益相关者以及科学和技术对灾难的反应相关的韧性策略的协作共同设计。该项目旨在增强居住在灾难地区的低收入社区的韧性。重点是在巴西，东非和北美选定地区有高风险和洪水风险高的沿海地区。它通过收集有关基础设施和潜在地点的自然遗产的地理参考数据来发展生活在经济沮丧和河床地区的人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佳的灾难及格的城市设计和规划包，以考虑预计的气候变化与极端天气相关的极端天气状况，直到2050年。该项目将调查通过设计和原型设计和原型的技术采用的潜在障碍。通过使用基金会的智力优点和更广泛影响的评论标准进行评估。