环境工程哲学博士-韧性与可持续性

为了应对抵御力和可持续性的挑战，范德比尔特大学的研究人员采用了网络物理技术和数据驱动的环境系统方法。例如，范德比尔特的智慧城市计划旨在提高城市服务的质量和性能，同时减少资源消耗和影响，并提供弹性基础设施。
To address challenges of resilience and sustainability, Vanderbilt researchers embrace cyber-physical technologies and data-driven approaches for environmental systems. For example, Vanderbilt's smart cities initiative aims to enhance the quality and performance of urban services, while reducing resource consumption and impacts, and providing resilient infrastructure.<br><br>Graduate students work alongside faculty researchers who are pursuing topics such as:<br><br> Develop and provide an efficient risk-informed decision making process for the protection of civil infrastructures and determine the impacts of climate change on civil infrastructure and explore how to build for resilience in the future.<br> Use assessment of traffic conditions to determine how resilient our cities are to extreme events, and how quickly they recover.<br> Create the next generation of cyber-physical systems that integrate software to monitor and manage water quality and usage with applications to a new sustainable city south of Denver, metropolitan Nashville, and the Vanderbilt campus.<br> Develop and apply analysis tools and models that can be sued to inform and support public policymakers in transportation and other complex network systems.<br> Develop and utilize statistical learning methods to measure and analyze the risk, reliability, and resilience for preparedness and recovery of critical infrastructure systems and communities.