CAREER: Building long-term climate resilience in 21st-century regional urban land systems through integrated data-driven research and education

21世纪环境变化性增加和城市扩张有可能加剧极端气候对子孙后代的影响。了解人与环境相互作用的长期、大规模影响对于建设城市气候适应能力是必要的。传统的关于城市气候适应性的人类-环境研究往往局限于短时间和/或高度局部化的地理范围。该学院早期职业发展(Career)项目研究整个美国大陆的人口模式、城市土地利用和气候变化之间的动态互动。到2100年，许多新的城市中心将建成，现有的城市中心将进行翻新。在战略城市土地规划中嵌入长期气候适应能力的可操作的科学知识有助于缓和或至少不会显著放大未来人口对极端气候的暴露。该项目为可操作的科学开发机器智能模型，并建立教育活动，以促进多学科方法，通过劳动力发展(大学教育和研究生培训)和公众参与(科学交流)来思考和沟通长期、大规模的城市气候挑战。该项目(A)确定城市土地的区域尺度空间特征，可以缓解未来美国人口对21世纪极端气候的暴露，(B)建立一个模型辅助框架，用于设计嵌入长期气候适应能力的区域城市土地系统，以及(C)开发公平的网络基础设施(数据和代码)，以便对社会经济过程进行长期大规模时空建模，并对社会、人类建造的系统和地球系统进行综合分析。该项目利用人类维度、气候和数据科学的知识和方法，为当前和未来的城市社区提供了关于长期、大规模挑战的新见解、网络基础设施和学习机会。研究结果可以为决策者提供土地利用政策干预方面的信息，以最大限度地减少未来人口对气候极端的暴露。该项目由人类-环境和地理科学(HEGS)、既定的激励竞争研究计划(EPSCoR)和高级网络基础设施(OAC)、人类、灾害和建筑环境办公室(HDBE)联合资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Increasing environmental variability and urban expansion during the 21st century have the potential to exacerbate the impacts of climate extremes on future generations. Understanding the long-term, large-scale effects of human-environment interactions is necessary for building urban climate resilience. Conventional human-environment research on urban climate resilience is often limited to short time horizons and/or highly localized geographic scope. This Faculty Early Career Development (CAREER) project investigates the dynamic interactions among demographic patters, urban land use, and climate variability across the continental U.S. By 2100, many new urban centers will have been built, and existing ones renovated. Actionable scientific knowledge that informs policies to embed long-term climate resilience in strategic urban land planning can help moderate, or at least not significantly amplify, future population exposures to climate extremes. This project develops machine-intelligence models for the actionable science and establishes educational activities to promote multidisciplinary approaches to thinking and communicating long-term, large-scale urban climate challenges through workforce development (college education and postgraduate training) and public engagement (science communication).This project (a) identifies regional-scale spatial characteristics of urban land that can moderate future U.S. population exposures to 21st-century climate extremes, (b) establishes a model-aided framework for designing regional urban land systems with embedded long-term climate resilience, and (c) develops FAIR cyberinfrastructures (data and codes) for long-term large-scale spatiotemporal modeling of socioeconomic processes as well as integrative analyses of social, human-built, and the earth systems. Leveraging knowledge from and integrating methods from human dimensions, climate and data science, this project contributes new insights, cyberinfrastructure, and learning opportunities about long-term, large-scale challenges to current and future urban communities. Findings can inform decision-makers on land use policy interventions to minimize future population exposures to climate extremes.This project is jointly funded by Human-Environment and Geographic Sciences (HEGS), the Established Program to Stimulate Competitive Research (EPSCoR), and Office of Advanced Cyberinfrastructure (OAC), Humans, Disasters, and the Built Environment (HDBE).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.