Debiasing deep uncertainties in climate change strategies

EUNICE develops innovative and integrated approaches to quantify, translate, and communicate the deep uncertainties associated with climate change hazards and in low carbon transitions, advancing the foundations of computational modeling for effective climate change policy.

EUNICE combines computational and data sciences to increase robustness and confidence in the quantification of climate uncertainties, both now and in deep time. The approach and innovations developed by EUNICE can be applied to other areas characterized by high stakes and high risks.

Learn more about the project’s mission

The three step-change approach of EUNICE


We apply computational and statistical methods for better capturing future climate risks and mitigation scenarios


We consolidate future climate scenarios by identifying neat-future trends and risks and their consequences for long-term climate change


We convert computer-generated maps of the future into robust and actionable recommendations for policy actions