Hybrid modelling improves economic impact assessments of climate change, indicating enhanced accuracy in evaluations.
Hybrid modelling using machine learning can help improve the robustness and comprehensiveness of economic impact assessments of climate change by combining data with theory, bridging silos across social, economic, and financial systems, and linking micro- and macroeconomic scales.
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Orlov et al. (2026) studied this question.
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