Explore a lecture on efficiency and equity in government operations, focusing on service allocation and congestion pricing. Delve into the challenges of urban governance and data-driven operations in managing complex city systems. Examine how to design mechanisms that balance efficiency and equity while addressing issues like missing data, capacity constraints, and spatial heterogeneity. Investigate two key systems: urban crowdsourcing for problem identification and congestion pricing for roadways. Analyze the equity and efficiency tradeoffs in operational decisions, and discover how expanding policy options can lead to improvements in both areas simultaneously. Learn about translating data science and machine learning insights into practical agency decision-making to influence real-world outcomes in urban management.