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. |
* '''Urban planning:''' With new techniques such as [[surrogate modeling]], ML can help with complex planning tasks. |
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* '''[[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. |
* '''[[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. |
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* '''[[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. |
* '''[[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. |
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=== Ex-post policy analysis === |
=== Ex-post policy analysis === |