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Urban Resilience.AI Lab

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About

The Urban Resilience.AI Lab focuses on creating knowledge and technologies to mitigate the social, economic, and physical impacts of crises like flooding and pandemics on communities. Their unique approach integrates urban science, complex networks, and artificial intelligence. Key research themes include Smart Resilience, which uses AI to improve disaster management and big data analysis for better prediction and coping mechanisms. Equitable Resilience aims to develop 'people-centric' models to understand societal impacts of service disruptions and reduce disparities for vulnerable populations. Urban Intelligence investigates infrastructure-population dynamics post-disaster, utilizing digital evidence like social sensing and GPS data to create AI methods and complex network models to understand system failures and human responses during extreme events.

Platform
Web
Task
resilience planning

Features

utilizing social sensing and digital trace data for ai methods and complex network models

investigating infrastructure interaction with population dynamics after disasters

reducing disparities for vulnerable populations in disasters

exploring societal impacts of service disruptions

creating people-centric models to improve infrastructure resilience

helping residents, volunteers, and responders predict and cope with crises

developing and refining models for community-scale big data analysis

improving disaster management and responses using artificial intelligence

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