Public Policy and Decision Science: Difference between revisions

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→‎Climate policy databases: add Climate Policy Radar

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Line 12: * [[Data management, cleaning and imputation\|'''Data management, cleaning and imputation''']]: ML can help with cleaning, merging and completing datasets that are relevant for policy-making. * '''[[Remote ~~sensing~~Sensing\|~~'''~~Remote sensing]]''']]: Satellite data can provide a lot of valuable information to policy makers, for example by helping map infrastructure, land use and ecosystem health. The field of remote sensing has seen large improvements with ML. * '''[[Computational text analysis]]:''' Text documents are an important source of information to inform climate policy. Natural language processing can help to analyze large corpora of text. Line 77: === Climate policy databases === * [https://app.climatepolicyradar.org Climate Policy Radar]: an open resource of climate laws, policies and action plans from every national government. The database offers full text search of documents via the website. * [https://www.iea.org/policies Policies database of the International Energy Agency (IEA)]: one of the largest international climate and energy policy databases, integrating the IEA/IRENA Renewable Energy Policies and Measures Database, the IEA Energy Efficiency Database, the Addressing Climate Change database, and the Building Energy Efficiency Policies (BEEP) database.