Improving economic impact assessment of climate change with machine learning
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.
Authors
- Jana Sillmann (ORCID: https://orcid.org/0000-0002-0219-5345)
- Anton Orlov (ORCID: https://orcid.org/0000-0003-3670-597X)
Institutions
- Universität Hamburg (DE)
- CICERO Center for International Climate Research (NO)
- HAW Hamburg (DE)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-06-25
- DOI
- https://doi.org/10.1038/s41467-026-73956-7
- Primary Topic
- Environmental Impact and Sustainability
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft