Perceptions of Greenhouse Gas Removal - Mixed Methods UK, 2023-2024

This dataset examines lay public perceptions of Carbon Dioxide Removal in the four devolved nations of the UK. We focus especially on 'biological' or 'nature-based' carbon removal techniques - perennial biomass crops, peatland restoration, and biochar. We also examine perceptions of trade-offs between options, and between carbon removal more generall versus emissions reduction. To deal with inevitable framing effects, we split the qualitative sample into two groups - one with a techno-economic framing mirroring current climate discourses, versus one 'everyday life' framing. We include deliberative workshop methods, providing both in-depth qualitative and small-n quantitative data, with large-n representative survey data. In addition, we explore the role of novel information devices - specifically Large Language Models (also known as Generative AI) such as ChatGPT as devices for deliberation, examining to what extent these support or disrupt the preceding discourses on carbon removal.