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Public Policy and Decision Science: Difference between revisions
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* '''Urban planning:''' With new techniques such as [[surrogate modeling]], ML can help with complex planning tasks.
* '''[[Power System Planning]]:''' Algorithms for planning new low-carbon energy infrastructure are often large and slow. ML can help speed up or provide proxies for these algorithms.
* '''[[Integrated Assessment Models (IAMs)|Integrated assessment models]]:''' IAMs are large simulations used to explore future societal pathways that are consistent with climate goals, which can be improved with ML.
=== Ex-post policy analysis ===
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