BRITE Fellow: A New Paradigm of Equitable and Smart Multi-Hazard Resilience Modeling (ENSURE)

BRITE 研究员：公平且智能的多灾种复原力建模新范式 (ENSURE)

基本信息

批准号：
2227467
负责人：
Jamie Padgett
金额：
$ 99.99万
依托单位：
William Marsh Rice University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2023
资助国家：
美国
起止时间：
2023-03-01 至 2028-02-29
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2227467&HistoricalAwards=false
关键词：
BRITE Fellow New Paradigm Equitable

项目摘要

This Boosting Research Ideas for Transformative and Equitable Advances in Engineering (BRITE) Fellow project seeks to disrupt and transform the way we model infrastructure resilience and support just investments in infrastructure. Reliable, effective functioning of infrastructure during and following hazard events, like earthquakes, hurricanes, and floods, is essential to public safety, economic vitality and quality of life. Risk-informed decisions that promote resilience (or the ability of infrastructure to withstand, adapt to and recover from such stressors) require confident predictions of system performance now and into the future. However, this future brings uncertainties regarding dynamic, evolving conditions; challenges with respect to a legacy of disparate impacts of natural hazards and infrastructure (under)investment; and opportunities related to smart systems and emerging data and algorithms. The new paradigm of Equitable and Smart Multi-Hazard Resilience Modeling (ENSURE) provides the methodological advances and contextual fabric for transforming infrastructure resilience modeling to a practice that is both smart and equitable. Resulting benchmarks and opensource tools not only propel research advances in this field, but can benefit society through improved infrastructure safety and socially equitable quality of service in hazard-prone regions.The specific goals of this project are to: 1) Infuse intelligence into resilience modeling (i.e., emerging data from smart systems and intelligent algorithms) to capture uncertain, evolving conditions. 2) Uncover and overcome inequities in data and algorithms that underpin such resilience quantification, essential to inform just resilience enhancement. 3) Design and disseminate benchmark studies across hazards, systems, and scales to evaluate the new paradigm of Equitable and Smart Multi-Hazard Resilience Modeling (ENSURE). 4) Facilitate community-engaged learning and implementation of ENSURE with a diverse team of students and community partners, while having a lasting impact on student training and broadening participation. 5) Initiate a virtual community of practice (VCoP) to support networking, exchange, and mentoring related to advancement of female faculty in the resilience modeling field. Overall, this high-risk, high-reward pursuit formulates a new infrastructure resilience modeling framework that can, for the first time, evolve with dynamic, uncertain conditions while uniquely targeting socially equitable data collection and model performance. New strategies will be posed to quantify and overcome the disparities not only in resilient infrastructure performance across socially vulnerably populations, but also inequities in our ability confidently predict this performance and support just interventions.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.

这一促进了工程（BRITE）项目的变革性和公平进步的研究思想，旨在破坏和改变我们建模基础架构的弹性和支持基础架构的投资的方式。在危险事件（如地震，飓风和洪水）期间和之后的基础设施可靠，有效的运作对于公共安全，经济活力和生活质量至关重要。促进弹性的风险意识决策（或基础架构承受，适应和从这种压力源中恢复的能力）需要对现在和未来的系统性能进行自信的预测。但是，这种未来给动态，不断发展的条件带来了不确定性。关于自然危害和基础设施（未经）投资的不同影响的遗产；以及与智能系统以及新兴数据和算法有关的机会。公平和智能多危险的弹性建模（确保）的新范式提供了方法论进步和上下文结构，用于将基础架构的弹性建模转换为既聪明又公平的实践。由此产生的基准和开放源工具不仅可以推动该领域的研究进展，而且可以通过改善基础设施安全和社会公平的危险区域中的社会公平服务质量来使社会受益。该项目的具体目标是：1）将智能注入弹性能力建模（即，来自智能系统和智能校长的数据和智能校园的数据）以捕获无效的条件，以捕获无效的条件。 2）揭示并克服基于这种弹性量化的数据和算法的不平等现象，这对于提高了弹性增强至关重要。 3）跨危害，系统和量表设计和传播基准研究，以评估公平和智能多危险弹性建模的新范式（确保）。 4）促进与社区参与的学习和实施，以确保与学生和社区合作伙伴组成的多元化团队，同时对学生培训和扩大参与产生持久的影响。 5）启动一个虚拟的实践社区（VCOP），以支持与弹性建模领域女性教师的发展有关的网络，交流和指导。总体而言，这种高风险，高回报的追求制定了一个新的基础架构弹性建模框架，该框架可以首次以动态的，不确定的条件发展，同时独特地定位社会公平的数据收集和模型性能。 New strategies will be posed to quantify and overcome the disparities not only in resilient infrastructure performance across socially vulnerably populations, but also inequities in our ability confidently predict this performance and support just interventions.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.