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

规划拨款：社会物理极端事件恢复力数据工程研究中心（Data-SPEER）

• 批准号: 1840435
• 负责人: Jack Baker
• 金额: $ 10万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1840435&HistoricalAwards=false
• 关键词: Planning; Grant; Engineering; Research; Center

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.

工程研究中心竞赛的计划赠款是在ERC计划中作为试点招标进行的。 作为全面ERC竞赛的一部分，不需要计划赠款，但旨在在团队之间建立能力，以计划收敛的中心尺度工程研究。对极端事件的城市弹性被广泛认为是对所有社会团体的关键社会挑战，是所有社会团体的关键社会挑战，是由美国主要政府计划和慈善努力指示。我们的愿景是创建对极端自然事件和国家安全威胁的社区，尽管公民志趣相投。该计划赠款将支持三个研讨会，以提高我们的研究目标。在整个研讨会上，我们将通过融合经济学家，计算机科学家，研究人员，重点介绍提议团队的专业知识之外的灾难以及少数民族社区的韧性研究人员，从而加深我们的团队组成并完善我们的领导结构。此外，我们将通过召集可以支持和受益于计划中心的联邦和地方弹性政策制定者，应急管理人员和数据提供商（例如技术公司）来建立一个有成就的利益相关者社区。通过这些活动，我们旨在帮助建立一个更强大的社会，能够更好地承受灾难中的反弹。该项目旨在将工程师，社会科学家和社区领导者团结起来，以建模和设计，以进行身体结构和社会的动态相互作用使用现代高分辨率数据的系统。通过这项努力，准备和缓解投资的影响有可能在个人，家庭和社区规模上建模。我们旨在使用众包数据，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，计划和恢复的身体和社会影响。此外，我们旨在合并工程和社会科学弹性模型，以生成可能的社区投资和轨迹的更全面的福利成本量化。将弹性数据和建模转化为社会有益的工具和见解，就需要在建模物理灾难影响和社会科学专业知识上建模社区弹性时的技术专业知识的融合。该项目将推动未来的融合灾难弹性研究，并准备新一代的工程和社会科学方面的科学家。这种培训将包括与公民领导人互动共同致力于减少经济损失和伤亡的能力，同时在逆境之后增加社区福祉。该奖项反映了NSF的法定使命，并被认为是通过使用评估的人来支持的。基金会的智力优点和更广泛的影响评论标准。