This project facilitates data-driven policy making on informal settlements by using machine learning with new sources of data including satellite images.
This project maps the spatial urban economic dynamics of 14 cities across the global south.
This project investigates how climate-related migrants secure access to urban infrastructures and services, and how they negotiate living alongside existing residents.
This projects combines traditional survey data with satellite derived atmospheric data to shed light on,and seek solutions to, the environmental burdens facing the world's poorest people.
This research aims to provide urban planning and design policy recommendations using urban big data and spatial computation.
This project uses recent advances in remote sensing and computer vision to develop an alternative approach to obtaining useful data for urban researchers and policy makers.
We focus on land use and housing issues in Chinese cities with the aim to provide policy recommendations that help improve land use practices.
This project locates and urbanises the current state of the epidemiological transition in India and seeks comparatives across the global south.
This research studies accessibility to healthy living among low-income women in Itagüí (Colombia) using a collaborative framework that incorporates environmental variables.