Planning Grant: Engineering Research Center for Data for Socio-Physical Extreme Event Resilience (Data-SPEER)

工程研究中心规划奖助金竞赛是作为ERC计划的试点征集活动进行的。计划拨款并不是整个ERC竞赛的一部分，而是为了在团队之间建立能力，以规划汇聚的、中心规模的工程研究。正如美国政府的主要项目和慈善努力所表明的那样，城市对极端事件的韧性被广泛认为是所有社会群体面临的关键社会挑战。我们的愿景是通过具有公民意识的工程来创建对极端自然事件和国家安全威胁具有弹性的社区。这笔计划拨款将支持三个研讨会，以提高我们的研究目标。在研讨会期间，我们将通过吸收经济学家、计算机科学家、专注于提出团队专业知识之外的灾难的研究人员以及少数族裔社区中具有韧性的研究人员，来深化我们的团队组建并优化我们的领导结构。此外，我们将通过召集联邦和地方弹性政策制定者、应急管理人员和数据提供商(如技术公司)来建立一个坚定的利益相关者社区，这些人可以支持并受益于规划中的中心。通过这些活动，我们的目标是帮助建立一个更强大的社会，使其能够更好地抵御灾难并从灾难中恢复过来。该项目旨在联合工程师、社会科学家和社区领导人，利用现代高分辨率数据为物理结构和社会系统之间的动态相互作用进行建模和设计。通过这一努力，防灾和减灾投资的影响有可能在个人、家庭和社区规模上进行建模。我们的目标是使用众包数据、高分辨率图像和机器学习技术来限制这些模型，以量化灾难事件、规划和恢复的物理和社会影响。此外，我们的目标是合并工程学和社会科学的弹性模型，以产生对可能的社区投资和轨迹进行更全面的收益-成本量化。将复原力数据和建模转化为对社会有益的工具和见解，需要将模拟物理灾害影响的技术专业知识和模拟社区复原力的社会科学专业知识结合起来。该项目将推动未来融合的抗灾能力研究，并培养精通工程和社会科学的新一代科学家。这样的培训将包括与民间领袖共同努力减少经济损失和伤亡，同时在灾难发生后增加社区福祉的能力。这一奖项反映了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。

The Planning Grants for Engineering Research Centers competition was run as a pilot solicitation within the ERC program. Planning grants are not required as part of the full ERC competition, but intended to build capacity among teams to plan for convergent, center-scale engineering research.Urban resilience against extreme events is widely recognized as a critical societal challenge for all societal groups, as indicated by major US Government programs and philanthropic efforts. Our vision is to create communities that are resilient to extreme natural events and national security threats though civic minded engineering. This planning grant will support three workshops to sharpen our research objectives. Across the workshops, we will deepen our team formation and refine our leadership structure by incorporating economists, computer scientists, researchers focused on disasters outside the proposing team's expertise, as well as researchers of resilience in minority communities. Moreover, we will establish a committed stakeholder community by convening federal and local resilience policy makers, emergency managers, and data providers (like technology companies) that can support and benefit from the planned center. Through these activities, we aim to help build a stronger society that is better able to withstand and bounce back from disasters.This project aims to unite engineers, social scientists, and community leaders to model and design for the dynamic interplay of physical structures and social systems using modern high-resolution data. With this effort, the impacts of preparedness and mitigation investments have the potential to be modeled at individual, household, and community-scales. We aim to constrain these models using crowdsourced data, high resolution imagery, and machine learning techniques to quantify the physical and social impacts of disaster events, planning, and recovery. Additionally, we aim to merge engineering and social science resilience models to produce more holistic benefit-cost quantifications of possible community investments and trajectories. Translating resilience data and modeling into societally beneficial tools and insights requires the convergence of technical expertise in modeling physical disaster impacts and social science expertise in modeling community resilience. The project will drive future convergent disaster resilience research and prepare a new generation of scientists conversant in engineering and social science. Such training will include the ability to engage with civic leaders to jointly work towards reducing economic loss and casualties, while increasing community well-being in the wake of adversity.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.