Our aim is to advance energy and carbon modeling and public policy and investment decisions in cities in a way that is efficient, equitable, scalable, and rapidly deployable. This work, in collaboration with city, federal, and international organizations, develops computational methods and data tools that combine data-driven statistical and physical models to generate hyperlocal models of urban carbon emissions, building energy performance, and energy-use behaviors. Our focus is on understanding the disparate impacts of climate change and energy inefficiency, and developing methods to prioritize social justice in urban climate policy.