Social Welfare

Social welfare research focuses on optimizing resource allocation and policy design to maximize societal well-being, considering both individual utility and overall societal benefit. Current research emphasizes developing and analyzing algorithms for fair and efficient resource allocation, often employing techniques from reinforcement learning, online convex optimization, and game theory to model complex interactions and achieve desirable equilibria. This work is significant for its potential to improve the design of social programs, AI systems, and economic policies, leading to more equitable and efficient outcomes. Furthermore, the integration of diverse data sources, such as satellite imagery and high-frequency weather data, enhances the accuracy and scope of welfare assessments.