AI & Environment Resource Hubpodfollow · 2024-12-19
Himanshu Gupta and Eleonore Fournier-Tombs discuss AI’s role in climate adaptation, from predicting floods to growing resilient crops, while addressing the ethical dilemma of its high carbon footprint and environmental impact.
podfollow. 2024-12-19. How AI is Tackling Climate Change. https://podfollow.com/resilience-the-global-adaptation-podcast/episode/dae1a3f21fcbd0182aa4f1b085247ba4028fa6bc/view (AI & Environment Resource Hub; record pod-0017; collection snapshot 2026-09-15).
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Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Weather, hazards, and adaptation
A comprehensive evaluation of machine learning regression models enhances the precision of GHG emission predictions, comparing traditional and advanced algorithms while integrating feature selection techniques like LIME to improve model interpretability and inform environmental policy.
Shared topics: Cross-cutting sustainability; Climate and greenhouse gases; Agriculture and food; Weather, hazards, and adaptation
This research leverages AI, big data, and mechanistic modeling to uncover how microbial activity and environmental factors shape soil carbon storage, aiming to develop innovative soil-based climate mitigation strategies.
Shared topics: Governance and society; Climate and greenhouse gases; Agriculture and food; Weather, hazards, and adaptation
Joyeeta Das is a prominent climate and deep-tech entrepreneur, currently serving as the CEO and Co-founder of Samudra Oceans, a London-based company focused on scaling seaweed farming using robotics and AI for carbon capture and ocean health. She is a serial entrepreneur with a strong background in technology and a focus on leveraging innovation for social good. Prior to Samudra Oceans, she founded GYANA, an organization democratizing AI with a no-code platform, and led SuperPitch to acquisition by Diversity X. Discuss how AI, climate change, and women empowerment can come together with this podcast episode.
Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Weather, hazards, and adaptation
The Environmental and Energy Study Institute (EESI) invites you to a briefing discussing the intersection of artificial intelligence (AI) and climate change in federal policy-making. While AI can aid in climate resilience and boost economic competitiveness, it is also on a trajectory to increase energy demand, greenhouse gas emissions, and water usage. This paradox presents an important opportunity for discussion on how to best minimize the negative impacts of AI on the environment and harness its powers for a sustainable future.