Map of CDR research

Research on carbon dioxide removal is vast and fast-growing. Despite impressive efforts by the research community to track new research via hand-selected bibliographies, email lists or other crowd-sourcing activities, staying abreast with developments has become close to impossible and extremely resource-intensive. For keeping an overview of the science of CDR and enabling a deeper synthesis and evidence (gap) mapping, it is crucial to take advantage of advances in artificial intelligence (AI) and ‘living evidence’ mapping to assist in the compilation, classification and understanding of the state of CDR research. Here we apply state-of-the-art AI approaches from natural language processing to produce a comprehensive, living, interactive evidence map of the available science of CDR covering more than 10,000 scientific publications. We outline our plans to develop this into a free, publicly available community resource.

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This interactive website was published as part of our paper "AI for creating a living evidence map of the science of carbon dioxide removal" presented at the Negative CO2 Emissions Conference 2022 in Gothenburg.

Authors: Jan C Minx, Max Callaghan, Tim Repke, Sarah Lück, Finn Müller-Hansen, William Lamb, Sabine Fuss, Felix Creutzig, Gregory Nemet, Cameron Roberts, Benjamin Sovacool, Chad Baum, Sean Low, Keywan Riahi, Benjamin Mitterrutzner, Stephen Smith, Cameron Hepburn, Oliver Geden, Felix Chenuit and Jo House

Parts of this work are funded by the ERC ("GENIE", grant no. 951542) and the BMBF ("CDRSynTra", FONA).

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