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

这个促进工程变革和公平进步的研究理念（BRITE）研究员项目旨在颠覆和改变我们对基础设施弹性进行建模的方式，并支持基础设施投资。在地震、飓风和洪水等灾害事件发生期间和之后，基础设施的可靠、有效运作对公共安全、经济活力和生活质量至关重要。提高弹性（或基础设施承受、适应和从这些压力源中恢复的能力）的风险知情决策需要对系统现在和未来的性能进行自信的预测。然而，这种未来带来了动态的、不断变化的条件的不确定性；自然灾害和基础设施投资的不同影响遗留问题带来的挑战；以及与智能系统、新兴数据和算法相关的机会。公平和智能多灾害复原力建模（ENSURE）的新范式为基础设施复原力建模转化为既智能又公平的实践提供了方法上的进步和背景结构。由此产生的基准和开源工具不仅推动了该领域的研究进展，而且可以通过改善灾害易发地区的基础设施安全和社会公平的服务质量来造福社会。该项目的具体目标是：1)将智能注入弹性建模（即来自智能系统和智能算法的新兴数据），以捕获不确定的、不断变化的条件。2)发现并克服支撑这种弹性量化的数据和算法方面的不平等，这对增强弹性至关重要。3)设计和传播跨灾害、系统和尺度的基准研究，以评估公平和智能多灾害复原力模型（ENSURE）的新范式。4)与多元化的学生和社区伙伴一起促进社区参与的学习和实施确保，同时对学生培训和扩大参与产生持久影响。5)发起一个虚拟实践社区（VCoP），以支持与女性教师在弹性建模领域的进步相关的网络、交流和指导。总体而言，这种高风险、高回报的追求形成了一种新的基础设施弹性建模框架，该框架首次可以在动态、不确定的条件下发展，同时独特地针对社会公平的数据收集和模型性能。将提出新的战略，量化和克服社会弱势群体在弹性基础设施绩效方面的差距，以及我们自信地预测这一绩效和支持公正干预措施能力方面的不平等。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 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.