Where data science meets urban science

Using computational methods, machine learning, and large-scale data, our work integrates approaches from data science, engineering, environmental science, and the social sciences to address some of the most significant challenges facing cities and communities. Together with public sector, non-profit, and industry partners, our research connects data-driven decision-making and knowledge discovery with policy and planning issues spanning climate change, housing affordability, resilience, and neighborhood dynamics.