We work on projects in these three areas of research:

Modeling Urban Poverty and Security in Emerging Regions.
We aim to automatically model poverty and security issues in urban and rural regions. Our objective is to provide actionable information for policy makers and to have an impact in the cities and regions of the 21st century.

Understanding Behavioral Patterns during Natural Disasters.
We seek to model patterns of displacements, resilience and communication during natural disasters using novel, digital sources of human behavior. The aim of this research area is to help emergency responders during prevention and response.

Crowdsourced, Smart Transportation.  
We take a crowdsourced approach whereby using large-scale, georeferenced datasets that contain mobility data from millions of users we can model complex traffic behaviors at societal scales. We focus on actionable models that are useful for urban planners or transportation analysts. 

Our funding sources are the National Science Foundation (NSF) and the World Bank (WB).