The Urban Sciences Research Coordination Network and University of Chicago welcomed academic, research, and industry leaders with interest in using data and data science to better understand, model, and ultimately influence urban systems, to attend the first University of Chicago Convening on Urban Data Science.  In a three-day series of speakers, panels, and workshops around the integration of social science, data ethics, and urban data science, the convening brought together scientists from disciplines ranging from the social, behavioral, and economic sciences to data science and applied mathematics, to explore a number of critical areas including platforms and methods for integrated data analysis and modeling, the use of social and observational (e.g. sensor networks) data to understand the dynamics of cities and inform urban policy, and the ethical and privacy implications of the increasing use of data from diverse sources in the social sciences.