Improving economic impact assessment of climate change with machine learning

Nature Communications 2026 Open access

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Authors: Anton Orlov, Jana Sillmann
DOI: 10.1038/s41467-026-73956-7
Cited by: 1
References: 28

Abstract

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.

Fields of Study & Subjects

Environmental Impact and Sustainability Environmental and Social Impact Assessments Sustainability and Climate Change Governance

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
25 June 2026
Language
EN