This paper explores the concept of Carbon Data Science, highlighting the need for integrated carbon datasets and advanced analytics to address climate change challenges. It outlines methods to harmonise environmental data for better carbon accounting and policy formulation. The authors propose frameworks for leveraging data science in emission tracking, financial modelling of green investments, and sustainable resource allocation. This interdisciplinary approach combines climate science, finance, and data analytics to support global efforts in reducing carbon emissions and achieving sustainability goals.
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