I-Corps: Structural Integrity and Resilience Index for Adaptation to Climate Change and Extreme Events

这个I-Corps项目更广泛的影响/商业潜力是开发一个无处不在的结构完整性和复原力指数，以提供一个透明的机制，客观地评估当前和未来情景下天气和气候驱动的灾害带来的风险。该产品旨在提高弹性，因为财产价值、抵押贷款和保险费率更准确地反映了相关风险，并向不同的利益相关者发出有意义的趋势信号（例如，业主、准买家、物业发展商、贷款机构、保险公司及再保险公司）。该技术可以建立一个知情的社区，使国家规划机构能够确定高风险地区，并解决潜在的灾害援助和/或加强建筑规范的需求。房主可能有机会通过可操作的信息来提高他们的建筑物的弹性。将为该项目开发的网络基础设施可通过提高灾害风险管理的公平性，实现持续经济增长和改善社会福祉，该I-Corps项目的基础是开发一个单维结构完整性和复原力指数，以适应气候变化和极端事件，并提高已建基础设施的复原力。这项技术旨在以分散的方式促进弱势社区的地位、可持续性和安全。 该项目的主要目标是为住宅建筑的一维评分创建一个框架。该评分系统将通过整合四个数据集来完成：1）建筑特征，2）环境和气候风险特征，3）过去和未来的危害特征，以及4）社会脆弱性特征。使用多模态数据融合工具和技术，包括人工智能和机器学习，该技术旨在将广泛的复杂多维特征整合到一个一维分数中，供公众，不同的商业实体，该奖项反映了NSF的法定使命，并通过评估被认为值得支持使用基金会的知识价值和更广泛的影响审查标准。

The broader impact/commercial potential of this I-Corps project is the development of a ubiquitous structural integrity and resilience index to provide a transparent mechanism to objectively assess the risks posed by weather- and climate-driven hazards under current and future scenarios. This product seeks to increase resilience as property values, mortgage, and insurance rates more accurately account for associated risks and meaningfully signal trends to diverse stakeholders (e.g., homeowners, prospective buyers, property developers, lending agencies, insurers, and reinsurers). The technology may create an informed community and enable state planning agencies to identify high-risk areas and address the potential need for disaster assistance and/or strengthened building codes. Homeowners may have opportunities to enhance their building's resilience through actionable information. The cyberinfrastructure that will be developed for this project may result in sustained economic growth and improved social well-being by increasing equity in disaster risk management.This I-Corps project is based on the development of a unidimensional structural integrity and resilience index for adaptation to climate change and extreme events and promotion of resilience in the built infrastructure. This technology seeks to promote the status, sustainability, and security of vulnerable communities in a decentralized fashion. The primary goal of the project is to create a framework for a unidimensional score for residential buildings. This scoring system will be accomplished by integrating four data sets: 1) building characteristics, 2) environmental and climate risk characteristics, 3) past and future hazard characteristics, and 4) social vulnerability characteristics. Using multimodal data fusion tools and techniques including artificial intelligence and machine learning, the technology seeks to integrate a wide range of complex multidimensional characteristics into a unidimensional score to be utilized by the public, diverse business entities, and government agencies to help coordinate the development of more resilient communities.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.