Policy Document · 2026-05-01
24/7 Carbon-Free Energy for All: Towards a Resilient Energy System
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Podcast · source-verified
Dr. Sarah Russell, CEO of Bellwether, MD at Alphabet's Moonshot Factory
Apple Podcasts · 2025-02-20
Bellwether, an AI-powered climate prediction tool, analyzes Earth observation data to aid disaster preparedness and recovery, with Dr. Sarah Russell leading its efforts at the intersection of business, planetary health, and machine learning.
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Apple Podcasts. 2025-02-20. Dr. Sarah Russell, CEO of Bellwether, MD at Alphabet's Moonshot Factory. https://podcasts.apple.com/us/podcast/216-dr-sarah-russell-ceo-of-bellwether-md-at/id1561411048?i=1000694819077 (AI & Environment Resource Hub; record pod-0043; collection snapshot 2026-09-15).
Classification and context
Included in the original Podcast collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
topic
lifecycle
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- Author or creator
- Unknown or not supplied
- Publisher
- Apple Podcasts
- Publication date
- 2025-02-20
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- day
- Geographic scope
- Unknown
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- unknown
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- unknown
- Source status
- verified
- Last verified
- 2026-09-15T17:00:08.758Z
- Snapshot import
- 2026-09-06
- Legacy domain
- Climate & Weather
- Legacy subdomain
- AI & Responsible Computing
Provenance and review
Source sheet: Podcast · Row 53 · Original ID: pod-0043.
Commentary and interviews should not be treated as independently verified findings. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.
Suggest a correction for this record →Related through shared environmental topics
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Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Weather, hazards, and adaptation
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Weather, hazards, and adaptation
Scientific Paper · 2025-05-21
A Foundation Model for the Earth System
Aurora is a large-scale AI foundation model that significantly outperforms traditional forecasting systems across multiple Earth system domains, like air quality and cyclone tracking, while using far less computational power, marking a major advancement in accessible, efficient environmental prediction.
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Climate and greenhouse gases; Weather, hazards, and adaptation
Scientific Paper · 2025-04-23
A Hackathon for Flood Map Prediction From Geospatial Data With Parsimonious Machine Learning Models
This study showcases a machine learning hackathon in France where a CNN-based model accurately predicted flood risk evolution using geospatial and climate data, even without streamflow input, emphasizing trustworthy AI in data-scarce regions.
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Weather, hazards, and adaptation
Scientific Paper · 2025-07-17
Accelerating Climate Change Mitigation and Conserving Biodiversity – The Role of Advanced Digitalization for a Fast and Environmentally Sound Energy Transition Linking SEA and EIA
This article examines how advanced digitalization and AI can enhance spatial energy planning and environmental assessments in Austria, offering solutions to data deficiencies that currently hinder biodiversity-friendly renewable energy transitions.