Climate change is one of the most pressing global issues of our time, requiring coordinated efforts across multiple sectors to mitigate its impacts effectively. Dynamic programming $($DP$),$ a method for solving complex problems by breaking them down into simpler subproblems, has shown promise in various optimization scenarios.

How can DP be used to model and optimize long$-$term mitigation and adaptation plans at local, national, and global levels? For instance, optimizing investments in renewable energy, infrastructure resilience, and emission reduction measures.

What are the potential applications of DP in determining the optimal allocation of limited resources $($e$.$g$.,$ funding, manpower, technology$)$ to different climate action projects to maximize their impact?