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
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
中文摘要
这个多学科项目追求对描述社会技术变化的预测的科学、实践和使用的升级。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,与实现变化的因素相关联。因此,这项工作将促进在学术、政策和治理领域分享不同的优先事项和经验。调查小组在方法和主题上各不相同,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。这项工作解决了许多科学问题,前提是即将到来的脱碳行动浪潮可能会改善社区有形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建立:(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、调查和系统映射,表达框架、网络和制度在社会技术变革模型中的作用;(3)利用综合了变化范式、自然和社会环境以及人类优先事项的混合统计动态模型模拟和比较幸福感的轨迹;(4)用级联尺度框架(国家、地区、社区、家庭)表示社会技术转型,包括资源获取和福祉的分布;(5)在多个知识群体之间促进跨学科探究和对前沿的共同理解。该奖项反映了美国国家科学基金会的法定使命,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。
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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