SCC-IRG Track 2: Integrating Information Flows and Supporting Communities as Decision-Makers in Response to Acute and Chronic Stressors

SCC-IRG 第 2 轨道:整合信息流并支持社区作为决策者应对急性和慢性压力源

基本信息

  • 批准号:
    1952196
  • 负责人:
  • 金额:
    $ 120万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-09-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

Local communities, and the people who live within them, experience firsthand the impacts of severe weather events, such as flooding, extreme heat, and wildfire. At the same time, vulnerable populations see these impacts further magnified by chronic stressors such as poverty and poor health. As extreme weather events increase in frequency and severity, all communities across the US—and especially vulnerable ones— need to improve resilience planning and outcomes. At the same time, residents on the front line of acute events and chronic stress often have critical knowledge about the characteristics of these episodes, the harms they cause, and potential solutions. This valuable local knowledge has been difficult to integrate into policy and decision-making. Local agencies, nonprofit organizations, researchers, and communities have identified the urgent need to better link everyday knowledge about people’s experiences of and responses to extreme weather events to larger scale planning and preparation work conducted by municipalities and their partners. To address this need, this Smart & Connected Communities project will build upon a partnership with the Dove Springs community of Central Texas – a diverse, socially vibrant, but economically challenged neighborhood experiencing repeated and severe flooding—to develop a safe and secure online portal where residents can share knowledge about their community and their response to stressors. Using data shared through this portal, researchers will work with community members to design an information framework and policy process to link local knowledge with existing large-scale data sets—such as Census data, historic flood information, and land cover data– already used to prepare for extreme weather events, while building long-term community health, prosperity, and safety. These integrated data will also be used to envision and model healthy, safe, and prosperous futures at regional and statewide scales. This project serves the national interest by contribution to the National Science Foundation’s mission to promote the progress of science advancing national health, property, and welfare. Specifically, the models, information framework, online data portal, community engagement processes, policy-making process, and data security protections created for this project can be adapted by other communities in the US experiencing extreme weather events and chronic stressors, serving the national interest and society. Furthermore, this project will promote the progress of science through new contributions to data and social sciences; advance the national health and welfare through enhanced resilience in the pilot community through better preparation for extreme events and chronic stressors; and create professional development and educational opportunities for participating residents. In this project, we will produce a community-led, innovative interface which will help residents prepare for acute stressors while building long-term resilience to chronic stressors; a safe, secure, and private technological system to collect, store, and analyze local vulnerability indicator data based on lived experiences of extreme weather events, community assets, and day-to-day threats to well-being; an original knowledge management framework to integrate and aggregate multiple data types and scales; a co-developed process to integrate local data into resilience policy and decision-making; and a system to integrate local knowledge into big-dataset integrative modeling. We will use integrative research methods, including qualitative and quantitative methods to conduct a longitudinal assessment of community resilience and measure decision-making processes; participatory co-design of the portal; development of data privacy processes and construction of a knowledge graph; and data visualization, multi-modal analysis, and machine-supported reasoning. We anticipate the following broader impacts to society: provision of local knowledge to improve municipal and nonprofit decision and policy-making; sharing of innovative contributions with other US cities; establishment and training of residents as Climate Navigators (community-based experts on the neighborhood-scaled impacts of climate events), which will increase short and long-term resilience in the community (including opportunities for professional development and a Higher Ed Pathway Project); and integration of local knowledge into computer-based modeling protocols to improve the ability to guide resilience, preparedness, and acute responses across the state.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.
当地社区和居住在其中的人们亲身体验了洪水、极端高温和野火等恶劣天气事件的影响。与此同时,弱势群体看到这些影响因贫穷和健康状况不佳等长期压力因素而进一步扩大。随着极端天气事件的频率和严重性增加,美国各地的所有社区-特别是脆弱的社区-需要改善恢复规划和结果。与此同时,处于急性事件和慢性压力第一线的居民往往对这些事件的特征、它们造成的危害以及潜在的解决方案有着重要的了解。这种宝贵的当地知识一直难以纳入政策和决策。地方机构、非营利组织、研究人员和社区已经确定,迫切需要更好地将人们对极端天气事件的经历和反应的日常知识与市政当局及其合作伙伴进行的更大规模的规划和准备工作联系起来。为了满足这一需求,这个智能互联社区项目将与德克萨斯州中部的Dove Springs社区建立合作伙伴关系-这是一个多元化,充满社会活力,但经济上面临挑战的社区,经历了反复和严重的破坏-开发一个安全可靠的在线门户网站,居民可以分享有关社区的知识以及他们对压力源的反应。使用通过这个门户网站共享的数据,研究人员将与社区成员合作,设计一个信息框架和政策流程,将当地知识与现有的大规模数据集(如人口普查数据,历史洪水信息和土地覆盖数据)联系起来,这些数据集已经用于为极端天气事件做准备,同时建立长期的社区健康,繁荣和安全。这些综合数据还将用于在区域和全州范围内设想和模拟健康,安全和繁荣的未来。该项目服务于国家利益,为国家科学基金会的使命作出贡献,以促进科学进步,促进国家健康,财产和福利。具体而言,为该项目创建的模型、信息框架、在线数据门户、社区参与流程、政策制定流程和数据安全保护措施可以被美国其他经历极端天气事件和慢性压力源的社区所采用,从而为国家利益和社会服务。此外,该项目将通过对数据和社会科学的新贡献促进科学进步;通过更好地为极端事件和慢性压力源做好准备,增强试点社区的复原力,促进国民健康和福利;并为参与居民创造专业发展和教育机会。在这个项目中,我们将创建一个社区主导的创新界面,帮助居民为急性压力源做好准备,同时建立对慢性压力源的长期恢复能力;一个安全,可靠和私人的技术系统,以收集,存储和分析本地脆弱性指标数据基于极端天气事件,社区资产和日常生活对福祉的威胁的生活经验;一个原创的知识管理框架,用于整合和聚合多种数据类型和规模;一个共同开发的流程,用于将本地数据整合到复原力政策和决策中;以及一个系统,用于将本地知识整合到大数据集综合建模中。我们将使用综合研究方法,包括定性和定量方法,对社区复原力进行纵向评估,并衡量决策过程;门户网站的参与式共同设计;数据隐私流程的开发和知识图的构建;以及数据可视化,多模态分析和机器支持的推理。我们预计对社会产生以下更广泛的影响:提供当地知识,以改善市政和非营利组织的决策和政策制定;与其他美国城市分享创新贡献;建立和培训居民作为气候导航员(社区专家对气候事件的邻里规模影响),这将提高社区的短期和长期适应能力,(包括专业发展机会及高等艾德衔接课程);并将当地知识整合到基于计算机的建模协议中,以提高指导抗灾能力,准备工作,该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Community-Centered Climate Planning: Using Local Knowledge and Communication Frames to Catalyze Climate Planning in Texas
以社区为中心的气候规划:利用当地知识和沟通框架来促进德克萨斯州的气候规划
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