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

这个促进工程转型和公平进步的研究想法(BRITE)研究员项目寻求扰乱和改变我们为基础设施弹性建模的方式，并仅支持基础设施投资。在地震、飓风和洪水等灾害事件发生期间和之后，基础设施可靠、有效地运行，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、适应和恢复此类压力的能力)的风险明智决策需要对现在和未来的系统性能做出有信心的预测。然而，这一未来带来了以下方面的不确定性：动态、不断变化的条件；与自然灾害和基础设施(投资不足)不同影响的遗留问题有关的挑战；以及与智能系统和新兴数据和算法相关的机遇。公平和智能多风险复原力建模(Enure)的新范式为将基础设施复原力建模转变为既智能又公平的实践提供了方法进步和背景结构。由此产生的基准和开源工具不仅可以推动这一领域的研究进展，而且可以通过改善基础设施安全和灾害多发地区的社会公平服务质量来造福社会。该项目的具体目标是：1)将智能注入复原力建模(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)发现和克服数据和算法中的不平等，这些数据和算法支撑着这种弹性量化，这对于仅仅提供弹性增强至关重要。3)设计和传播跨危害、系统和尺度的基准研究，以评估公平和智能多风险复原力建模(SAURE)的新范式。4)与学生和社区合作伙伴组成不同的团队，促进社区参与学习和实施《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)，以支持与提高复原力建模领域的女性教员相关的网络、交流和指导。总体而言，这种高风险、高回报的追求形成了一个新的基础设施弹性建模框架，该框架可以首次在动态、不确定的条件下发展，同时独特地以社会公平的数据收集和模型性能为目标。将提出新的战略，以量化和克服不仅在社会弱势群体的弹性基础设施表现方面的差异，而且还量化和克服我们能力上的不平等，自信地预测这种表现并支持公正的干预。该奖项反映了NSF的法定使命，并已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 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.