This paper develops a stochastic dynamic programming model to optimize water allocation in the Panama Canal System under climate uncertainty. By incorporating economic trade-offs across navigation, hydropower, and municipal supply, the model derives welfare-maximizing reservoir release policies that enhance system efficiency and resilience.
This study quantifies the economic impact of climate change on Panama Canal traffic using a two-stage least squares model. Lower Gatun Lake levels—driven by ENSO—significantly reduce daily vessel transits. Results highlight the need for adaptation strategies, including water conservation, infrastructure upgrades, and alternative trade routes to safeguard global commerce.
INFEKTA is an agent-based model that simulates infectious disease spread, including COVID-19, by integrating demographic data and mobility patterns within urban spaces. Applied to Bogotá, Colombia it shows that moderate social distancing (e.g., closing 40% of locations) can effectively reduce transmission, supporting data-driven public health policy decisions.