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GCR: Collaborative Research: Relevant, Rich, and Realistic Representations of Housing, Well-Being, and Energy-Coupled Transitions

GCR: Collaborative Research: Relevant, Rich, and Realistic Representations of Housing, Well-Being, and Energy-Coupled Transitions
GCR:合作研究:住房、福祉和能源耦合转型的相关、丰富和现实的表征
批准号:
2219189
负责人:
Stacy Gloss
金额:
$15.63万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-10-01 至 2027-09-30

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中文摘要
翻译
这个多学科项目追求升级的科学,实践和使用的预测,描述社会技术的变化。该项目的最终目标是创建在过渡期间发生的幸福的明确表示,连接到促成变化的因素。因此,这项工作将有助于分享学术、政策和治理领域的各种优先事项和经验。调查小组在方法和专题上各不相同,但对人口异质性和人类健康和福祉作为终点的兴趣是统一的。技术专长包括工程、社会科学和环境科学学科。这项工作解决了一系列科学问题,前提是即将到来的脱碳行动浪潮可能会改善对社区来说是有形的但超出当前框架范围的福祉方面。该项目围绕以下目标和方法:(1)通过深入访谈、编码和网络分析,阐明不同人口群体对福祉的看法、信息途径和变革范式;(2)通过访谈、调查和系统制图,在社会技术变革模型中体现框架、网络和机构的作用;(3)用一个综合了变化范例、物质和社会环境以及人的优先事项的混合生态-动态模型模拟和比较福祉轨迹;(4)用一个大规模的框架代表社会技术转型(国家、地区、社区、家庭),包括资源获取和福祉的分配;以及(5)激励跨学科的调查和多个知识社区之间的前沿共享的理解。这个奖项反映了NSF的法定使命,并已被认为是值得的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来提供支持。
英文摘要
This multidisciplinary project pursues an upgrade to the science, practice, and use of projections that describe sociotechnical change. The project’s ultimate goal is creating explicit representations of well-being that occur during transitions, connected to the factors that enable change. Thus, the work will facilitate sharing of diverse priorities and experiences in academic, policy, and governance realms. The investigating team is methodologically and topically diverse, yet unified by interest in population heterogeneity and in human health and well-being as endpoints. Technical expertise includes engineering, social science and environmental science disciplines. This work tackles a number of scientific questions under premise that there is the possibility that the imminent wave of action for decarbonization could improve aspects of well-being that are tangible to communities but beyond the scope of current frameworks. The project is build around the following objectives and methods: (1) Elucidate perceptions of well-being, pathways of information, and paradigms of change held by diverse demographic groups through in-depth interviews, coding, and network analysis; (2) Represent the roles of framing, networks, and institutions in models of sociotechnical change through interviews, surveys, and system mapping; (3) Simulate and compare trajectories of well-being with a hybrid statistical-dynamic model that integrates paradigms of change, the physical and social environment, and human priorities; (4) Represent sociotechnical transitions with a cascading-scale framework (nation, region, community, household) that includes distributions of resource access and well-being; and (5) Stimulate transdisciplinary inquiry and shared understanding of frontiers among multiple intellectual 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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