Climate Change Adaptation

Climate change adaptation research focuses on developing and implementing strategies to minimize the negative impacts of a changing climate. Current efforts concentrate on improving risk assessment and resource allocation through advanced modeling techniques, including reinforcement learning for optimizing interventions in specific sectors (e.g., urban infrastructure, agriculture) and machine learning for improved prediction and projection of climate impacts (e.g., flood risk, crop yields). These advancements aim to enhance decision-making for more effective and equitable adaptation policies, particularly in vulnerable regions and communities, and inform the development of technology-driven decision support systems.