This project will take advantage of recent advances in remote sensing and computer vision to develop an alternative approach to obtaining useful data for urban researchers and policy makers.
Characterizing social network homophily and residential mobility through analysis of call detail records
This project will explore the relationship between social networks, socioeconomic class, and residential mobility.
Big Data driven transport planning and governing practices in the postcolonial ‘smart city’: a case study of Bangalore, India
This research will explore opportunities to enhance the capacity of transportation governing and planning practices for government institutions, urban planners and transport operators in India.
This project aims to propose policy scenarios for transitioning cities to more sustainable forms of transport.
Everyday Mobilities and Gendered Opportunities in African Urban Transport Systems: An Ethnography of ‘Informality’
This project asks how informal transport systems are positioned to respond to the present and future transportation needs of growing cities.
Exploring the complex relationship between environmental factors and health outcomes using machine learning approaches
This project aims to explore the relation between environment and health using a wide range of objective measures representing different environmental domains and several indicators of chronic disease and relevant risk factors.
Global Land Enclosures, Urban-Technology, and Experimental Property: Past, Present, and Future of Household Tenure in Medellin’s Comunas (CLTX)
This project aims to combine data and architecture services into a platform that helps sustain property rights beyond existing individualized models.