David Sandalow | AI for Good: Reducing Greenhouse Gas Emissions
Event Details
Event Type
Location
Hybrid
AI for Good: Reducing Greenhouse Gas Emissions
Abstract:
David Sandolow, Inaugural Fellow at Columbia University’s Center on Global Energy Policy, will present insights from the second edition of the Artificial Intelligence for Climate Change Mitigation Roadmap.
Expanding on the initial edition, the roadmap explores how AI technologies can help reduce greenhouse gas emissions in nine sectors including power, manufacturing and transportation. Key considerations include quantifying uncertainty, establishing causal relationships, and leveraging generative methods to unlock incremental and transformative opportunities.
Attendees will gain a deep understanding of the findings and leave with specific, actionable recommendations for how AI experts and others can use AI to help respond to climate change.
Resources and Opportunities:
Opportunities for funding at Stanford to apply artificial intelligence to clean energy and reducing greenhouse gas emissions:
Undergrads: Stanford Undergrad Program in Energy Research, for which students can propose a research topic for full-time pursuit this summer provided that a faculty member agrees to support it.
Undergrads & Grads:
- Energy Impact Summer Fellowhip
- TomKat e-Startup Internships (2025 positions to be posted soon)
- Ecoprenuership Seed grants
- eCatalyst Grants
Grads:
Faculty:
- Seed grants from Bits & Watts initiative for $100,000 on the topic of sustainably powering artificial intelligence
- RFPs from Sustainability Accelerator in 6 solution areas; $15 million total across all topics.
Speakers
David Sandalow
Senior Research Scholar; Inaugural Fellow, Center on Global Energy Policy (CGEP), School of International and Public Affairs
Alp Kucukelbir
Chief Scientist, Fero Labs
Adjunct Professor, Computer Science, Columbia University
Core Team (Entrepreneurship)
Julio Friedmann
Chief Scientist at Carbon Direct
Connect
The official Twitter account of the Stanford Institute for Human-Centered AI, advancing AI research, education, policy, and practice to improve the human condition.
If you need a disability-related accommodation, please contact: Annie Benisch, Events Planner. Requests should be made at least a week before the event.