David Sandalow | AI for Good: Reducing Greenhouse Gas Emissions
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.
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:
TomKat e-Startup Internships (2025 positions to be posted soon)
Ecoprenuership Seed 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.
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