Capital Allocation

Capital allocation research focuses on optimizing the distribution of limited resources to maximize overall benefit and fairness, addressing diverse applications from marketing promotions to healthcare rationing and social programs. Current research emphasizes developing algorithms and models, including those based on optimal transport, multi-objective optimization, and machine learning, to balance competing objectives like immediate gains versus long-term improvements, targeting high-need individuals versus robust program evaluation, and efficiency versus fairness. These advancements have significant implications for improving the design and implementation of resource allocation systems across various sectors, leading to more efficient and equitable outcomes.