Iterative processes are highly effective in addressing climate change because they allow for constant adaptation and improvement. The complexity and evolving nature of the problem require flexible solutions that can be tested, adjusted, and refined based on real-world feedback. By continuously reassessing actions, we can incorporate new technologies, insights, and data to ensure that solutions remain relevant and effective. This method also enables learning from failures, which is essential for tackling the multifaceted challenges of climate change.
