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From Google to the Grid: She's Orchestrating the Clean Energy Future (AI & Energy): Thousands of renewable projects across the United States are stuck in interconnection queues, a bottleneck twice the size of the nation’s total generating capacity. This episode follows Astrid Atkinson, former Google engineer and now cofounder of Camus Energy, as she applies AI driven grid orchestration tools to modernize the largest machine on earth and unlock the clean energy transition.

Harnessing AI: A New Era for Conservation and Tourism (AI & Ecology/Biodiversity): This Green Noise episode explores how artificial intelligence is quietly reshaping conservation and sustainable tourism, highlighting how AI can enhance ecosystem monitoring, wildlife protection, and visitor management while raising critical questions about ethical, intentional use in nature focused industries.

How AI is Transforming Sustainability (AI & Policy/ESG): Rochelle March, founder of People Places Words Action (PPWA), shares how organizations are using AI to improve efficiency, assess climate risk, and address complex sustainability challenges, emphasizing the importance of responsible AI adoption and capacity building for professionals driving environmental change.

Evaluating the Lifecycle Economics of AI: The Levelized Cost of Artificial Intelligence (LCOAI) (AI & Social/Economic Impacts): This paper introduces the Levelized Cost of Artificial Intelligence (LCOAI), a standardized framework that measures the full lifecycle costs of AI systems by combining capital and operational expenditures per unit of productive output. The metric provides a transparent foundation for comparing AI deployment models and guiding future infrastructure, procurement, and policy decisions.

AI Driven Prediction of Greenhouse Gas (GHG) Emissions in Livestock Supply Chains: Towards a Data Driven Model for Sustainable Agrifood Systems (AI & Agriculture): Researchers apply machine learning models, particularly XGBoost, to predict methane and nitrous oxide emissions from U.S. manure management with high accuracy. The study identifies livestock type, manure management practices, and population density as key emission drivers, offering a data driven framework for sustainable agriculture and climate mitigation.

Applying the ACE2 Emulator to SST Green's Functions for the E3SMv3 Global Atmosphere Model (AI & Climate Science): This study validates the Ai2 Climate Emulator (ACE2) as a powerful climate modeling tool capable of reproducing sea surface temperature driven atmospheric responses from the EAMv3 model. Achieving comparable accuracy about one hundred times faster than traditional methods, ACE2 demonstrates the growing potential of AI to accelerate complex climate simulations and global energy balance analysis.

From Gridlock to Grid Asset: Data Centres for Digital Sovereignty, Energy Resilience, and Competitiveness (AI & Energy): This report from the Centre on Regulation in Europe (CERRE) examines how data centers can evolve from energy intensive bottlenecks into strategic assets that strengthen digital sovereignty, grid stability, and economic competitiveness. It outlines policy measures to better integrate data centers into energy systems and support Europe’s green and digital transitions.

ELIAS Pathways to Responsible and Sustainable AI – Strategic Research Agenda (SRA) (AI & Sustainability): The European Lighthouse of AI for Sustainability (ELIAS) presents a research roadmap for building responsible, sustainable AI ecosystems across Europe. The agenda emphasizes transparency, lifecycle assessment, and cross sector collaboration to align AI innovation with environmental and societal goals.

New Tech for NatCat: Unlocking the Power of Remote Sensing and Artificial Intelligence to Anticipate and Mitigate Natural Disaster (AI & Geospatial Analysis): This AXA Research Fund report highlights how remote sensing and AI technologies can transform natural disaster prediction and resilience planning. By combining satellite data, predictive analytics, and AI modeling, the report underscores the potential to better anticipate extreme events and protect vulnerable communities.

Why Does AI Use Water? (AI & Water/Ocean Resources): This video unpacks how artificial intelligence systems depend on water intensive data centers for cooling and operation. Drawing from the Water AI Nexus report “Principles for Sustainable Water Use by Data Centers,” it outlines key guidelines for reducing water consumption and promoting sustainability in AI infrastructure.

The Geopolitics of Critical Minerals and the AI Supply Chain (AI & Multiple Applications): Leading experts in AI, geopolitics, and resource extraction discuss how the global AI industry is intertwined with critical mineral supply chains. The conversation highlights the strategic and environmental challenges of building AI infrastructure on extractive economies and examines the implications for global power dynamics.

AI for Climate Action Forum 2025 (AI & Climate Policy): This recorded forum brings together policymakers, researchers, and innovators to discuss how artificial intelligence can accelerate global climate goals. The event explores emerging policy frameworks, technological solutions, and collaborative pathways for applying AI to climate action at scale.

AXA Research Fund (AI & Environment): Based in Europe and now part of the AXA Foundation for Human Progress, the AXA Research Fund serves as AXA Group’s global scientific philanthropy initiative. Since 2008, it has supported research on major planetary challenges, advancing evidence based decision making and promoting science driven solutions for human and environmental progress.

Novata (AI & Policy/ESG): Headquartered in North America, Novata is a certified B Corporation helping private markets integrate sustainability into core business practices. Its platform simplifies ESG measurement and reporting by guiding companies through metric selection, data collection, and analysis to drive actionable and transparent outcomes.

Periodic Labs (AI & Environment): Operating in North America, Periodic Labs is developing autonomous laboratories and AI driven research agents designed to function as digital scientists. Its work represents a frontier in accelerating discovery through automation and intelligent experimentation.

European Digital Twin Ocean (EDITO) (AI & Ocean Conservation): The European Digital Twin Ocean provides an open infrastructure for building high fidelity digital ocean models that advance marine research and policy. By enabling science based decision making and supporting the EU Mission Ocean & Waters, EDITO empowers users to protect biodiversity, curb pollution, and promote a sustainable blue economy (FREE!).

LLM Hackathon for Applications in Materials Science and Chemistry (AI & Materials Chemistry): This hybrid global hackathon brings together researchers to apply large language models to real world challenges in materials science and chemistry. Participants collaborate to accelerate discovery, develop open source tools, and explore how AI can reshape scientific innovation (FREE!).

Global Bird Collision Mapper (AI & Biodiversity/Ecology): Developed by FLAP Canada, this web app allows users to record and visualize bird collisions with buildings worldwide. The platform combines crowdsourced data and mapping tools to support research, raise awareness, and inform urban design strategies that reduce avian mortality (FREE!).

Responsible Technology Youth Power Fund (RTYPF) (Global / Youth- & intergenerationally led 501(c)(3) organizations) (Open to applicants doing responsible tech work): This funding initiative awards grants between USD 25,000 and 100,000 to nonprofits led by youth or intergenerational teams working on AI, climate, digital wellbeing, and related issues.📆 Deadline: October 10, 2025 at 11:59pm EDT.

AI & National Security Convergence Fellowship (Global / Mid-career professionals in AI, security & emerging tech) (Open to those with national security or AI experience): Hosted by the Converging Risks Lab at CSR in partnership with the Future of Life Institute, this fellowship equips practitioners to navigate the crossovers between frontier AI and national security. Fellows will engage in research, policy design, and strategic foresight. 📆 Deadline: October 13, 2025 at 12:00 pm EDT.

NobleReach Scholars Program (U.S. / Recent graduates in tech, science & public interest) (Open to applicants aiming for public-good tech placements): This one-year (or longer) fully compensated program places scholars in government or mission-driven organizations working at the intersection of AI, cybersecurity, business process innovation, and more. Participants also receive a USD 15,000 stipend and attend a bootcamp in D.C. before placement. 📆 Application deadline (for 2026 cohort): December 10, 2025.

If you have resources that you wish to submit to the AI & Environment Resource Hub, fill out the Google Form! Thank you for suggesting resources to add to the Resource Hub. 🙃 

That’s it for this week.

Thanks for reading the 20th issue of The Climate Code! It means a lot to me and we have more coming in the future, so definitely stick around! 💚 

Nate

P.S.

New here? Check out the AI & Environment Resource Hub if you have no idea what it is. 😆