Daniel Kammen

"Data Science, AI, and Innovation for the Just Energy Transition"

The climate science, technology, and policy landscape we face today are hugely out of alignment.  While the climate science community has highlighted the critical need for immediate action towards a 1.5 degree C (or lower) global climate warming target, and while energy and transportation technologies are moving rapidly to enable that challenging goal, global action has been massively insufficient and inequitably implemented. Both large infrastructure choices and immediate daily decisions are needed.  AI provides a number tools that can be used today to quantify the scope of the climate and environmental justice challenge, and also to make more rapid, transparent, and less costly, the evolving field of ‘solutions science’ for the Just Energy Transition. To explore the power of AI-enabled ‘smart’ solutions to the energy transition, I highlight a set of energy, transportation, and land-use modeling tools and policy opportunities that are consistent with the needed 1.5 degree Celsius objective.

Bio

Information available on Dr. Kammen's faculty page.