Climate change is transforming our planet, and deforestation threatens carbon sinks in vulnerable areas. Artificial Intelligence (AI) may provide promising tools for addressing mitigation and adaptation challenges in fast-growing but low state capacity countries like India. Current programs that offer incentives to landowners in exchange for sustainable land management practices often conserve forests under minimal threat, leaving endangered ecosystems vulnerable. This project reimagines forest conservation in India by using AI to identify critical carbon sinks before they’re lost. The team is also developing an AI tool that transforms climate predictions into actionable insights for local officials’ adaptation investments. These technology-powered climate solutions bridge science and impact, with outcomes measured as forests saved, carbon sequestered, and climate-smart investments deployed.
Participants
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Rohini Pande
Henry J. Heinz II Professor of Economics; Director of the Economic Growth Center
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Lucy Page
Assistant Professor, Environmental Economics and Political Economy, University of Pittsburgh
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Luke Sanford
Assistant Professor of Environmental Policy and Governance, Yale School of the Environment
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Maike Pfeiffer
PhD student, Yale School of the Environment
