Public Policy and Decision Science: Difference between revisions
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=== Gathering decision-relevant data === |
=== Gathering decision-relevant data === |
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* [[Data management, cleaning and imputation]] |
* [[Data management, cleaning and imputation|'''Data management, cleaning and imputation''']] |
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* [[Remote sensing]] |
* [[Remote sensing|'''Remote sensing''']] |
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* [[Computational text analysis]]: Natural language processing can be used to analyze text documents, which are an important source of information for climate policy. |
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=== Decision science === |
=== Decision science === |
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* Decision science |
* '''Decision science''' |
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* [[Multi-criteria decision-making]] |
* [[Multi-criteria decision-making|'''Multi-criteria decision-making''']] |
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=== Modeling and planning === |
=== Modeling and planning === |
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* [[Agent-based modeling]]: ABMs are used in simulating the actions and interactions of agents in their environment, and ML can help integrate data-driven insights into these models, for example by learning rules or models for agents based on observational data. |
* '''[[Agent-based modeling]]:''' ABMs are used in simulating the actions and interactions of agents in their environment, and ML can help integrate data-driven insights into these models, for example by learning rules or models for agents based on observational data. |
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* Energy system modeling |
* '''Energy system modeling''' |
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* '''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 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 === |
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* Causal inference with machine learning |
* '''Causal inference with machine learning''' |
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== Background Readings == |
== Background Readings == |
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