This cluster of papers focuses on robust optimization techniques for risk management and finance, including topics such as conditional value-at-risk, stochastic programming, portfolio optimization, uncertain data, coherent risk measures, and the Wasserstein metric. The papers explore methodologies and applications of robust optimization in addressing uncertainty and risk in financial decision-making.