I-Corps: Structural Integrity and Resilience Index for Adaptation to Climate Change and Extreme Events
I-Corps: Structural Integrity and Resilience Index for Adaptation to Climate Change and Extreme Events
批准号:
2231699
负责人:
Pallab Mozumder
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-08-01 至 2024-01-31
中文摘要
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英文摘要
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.
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会议论文
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批准号:2122135
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2021
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负责人:Pallab Mozumder
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依托单位:
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项目类别:Standard Grant
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资助金额:$94.26万
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财政年份:2019
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负责人:Pallab Mozumder
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依托单位:
Communicating Forecast Information to Optimize Evacuation Behavior
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项目类别:Standard Grant
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资助金额:$39.11万
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财政年份:2009
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负责人:Pallab Mozumder
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依托单位:
国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
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批准号:
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项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2022
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负责人:Nicola Rosario Napolitano
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依托单位: