#  Uncertainty in AI: Solution or Obstacle for Climate Action? 

 



    ![Francesca Dominici](/sites/g/files/omnuum12666/files/styles/hwp_5_4__480x385/public/2026-02/Screenshot%202026-02-02%20at%201.28.49%E2%80%AFPM.png?h=b0b8cd9e&itok=W2wTyoiJ) 

 



 

####  calendar\_today Date and Time 

 **March 2, 2026** 

 05:00PM - 06:00PM EST 

####  pin\_drop Location 

 **Zoom**  



 

 [ Register Today arrow\_circle\_right ](https://harvard.az1.qualtrics.com/jfe/form/SV_abpYC5bwg2HVqzc) 

 



 

Artificial Intelligence is revolutionizing research, education, and business—unlocking unprecedented opportunities across climate, health, and beyond. In the Dominici Lab, they’re developing the first foundation model for healthy climate adaptation, pre-trained on the complete US Medicare dataset and enriched with nationwide Census, weather, and pollution data. This model enables powerful “what-if” scenario forecasting, using synthetic ground-truth data to validate counterfactual predictions and guide impactful climate actions. Yet, this AI-driven progress comes at a cost: energy-hungry data centers power these advances, raising concerns about their environmental footprint and the paradox of AI’s growing electricity demand in a world striving to reduce fossil fuel reliance. In this talk, Dr. Dominici will share insights from their work and explore AI's uncertain, double-edged role in the fight against climate change.



 

##  Watch this VPAL Signature Event recording: 

 





 

 

 



 

 

 

 

 



 

 

 Save: [ Add to calendar calendar\_today ](https://www.vpal.harvard.edu/node/1931726/event-feed.ics)  Copy link link