CAREER: Household Network Modeling and Empathic Learning for Integrating Social Equality into Infrastructure Resilience Assessment

这个教师早期职业发展计划（CAREER）项目旨在了解家庭和基础设施网络在灾害中的相互作用，目标是将社会不平等因素纳入基础设施复原力研究和教育的新领域。这项研究将审查家庭网络动态对弱势群体风险差异的影响（例如，老年人和低收入家庭），因为基础设施服务中断。教育目标是将同理心和以人为本的考虑与技术概念相结合，以培训下一代弹性基础设施的从业者和研究人员。这一科学研究的贡献，从而支持NSF的使命，以促进科学的进步和提高我们的国家福利。在这种情况下，预期的成果将产生变革性的想法，以加强如何最好地生产和管理基础设施系统，以促进为不同的亚群提供社会公正和有弹性的服务。该项目涉及一个综合性的研究，教育和推广计划。该项目的研究内容包括：（1）在基础设施中断时，从经验上描述家庭一级的社会人口特征、期望、规范和其他因素对服务差距和调整做法的影响;（二）在邻里尺度上模拟和分析家庭社交网络，以确定社会网络结构和稳定性对信息传播和调整实践的影响通过社交媒体;（3）分析基础设施网络与家庭社交网络之间的相互作用，考察城市尺度下不同亚人群风险差异的空间格局。研究方法涉及家庭调查，细粒度社交媒体数据分析和基于计算代理的建模之间的方法融合，以提取，表征，模拟和检查家庭网络。该研究方法将在休斯顿的哈维飓风背景下进行测试，重点是电力，水和道路中断。该项目的教育部分将创建和测试一个同理心学习模型，包括多个以人为本的课程模块，跨学科服务学习项目和研讨会，以促进参与学生的同理心和批判性思维技能。外展活动和服务学习项目将侧重于休斯顿服务不足的社区，并将涉及与利益相关者和居民的深入社区参与，以广泛传播调查结果。这些综合研究、教育和外联要素将促进融合研究，将社会平等与基础设施复原力相结合，并更好地将弱势群体的需求纳入基础设施服务的规划和优先次序安排。该项目还将为服务不足的社区带来能力建设，以及未来的有责任感和同情心的工程师。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。

This Faculty Early Career Development Program (CAREER) project seeks to understand the interaction between households and infrastructure networks in disasters with the goal to break new ground on integrating social inequality considerations into infrastructure resilience research and education. The research will examine household network dynamics influencing disparities in risks among vulnerable populations (e.g., older adults and low income families) due to infrastructure service disruptions. The education objective is to integrate empathy and human-centric considerations with technical concepts in training next-generation practitioners and researchers of resilient infrastructure. This scientific research contribution thus supports NSF's mission to promote the progress of science and to advance our national welfare. In this case, the anticipated outcomes will yield transformative ideas to enhance how infrastructure systems can best be produced and managed to promote socially just and resilient services for different subpopulations. This project involves an integrative research, education, and outreach plan. The research component of this project will: (1) empirically characterize the influence of household-level socio-demographic characteristics, expectations, norms, and other factors on service gaps and adjustment practices when infrastructure disruptions occur; (2) model and analyze household social networks at the neighborhood scale to determine the effects of social network structure and stability on the diffusion of information and adjustment practices through social media; and (3) analyze the interplay between infrastructure networks and household social networks to examine the spatial patterns of risk disparity among different sub-populations at the urban scale. The research approach involves methodological fusion among household surveys, fine-grained social media data analytics, and computational agent-based modeling to extract, characterize, simulate, and examine household networks. The research approach will be tested in the context of Hurricane Harvey in Houston with a focus on electricity, water, and road disruptions. The education component of this project will create and test an empathic learning model consisting of multiple human-centric course modules, interdisciplinary service-learning projects, and seminars to promote empathy and critical thinking skills in participating students. The outreach activities and service learning projects will focus on underserved neighborhoods in Houston and will involve deep community engagement with stakeholders and residents to broadly disseminate findings. These integrative research, education, and outreach elements will promote convergence research for integrating social equality with infrastructure resilience and better incorporate the needs of vulnerable populations in planning and prioritization of infrastructure services. The project will also lead to capacity building for underserved communities, as well as resilience-aware and empathic engineers of the future.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.