Tool
Data Center Impact Dashboard
An interactive dashboard by Rooted Futures Lab tracking the environmental impact of data centers across water, energy, and emissions metrics.
Course · source-verified
AI and Data Centers: Driving Global Decarbonization
Coursera · Publication date unknown
By the end of this course, you will be able to explain how data centers power AI‑driven decarbonization across the global economy and why sustainable digital infrastructure is foundational to achieving net‑zero goals. You will learn how AI, enabled by cloud and edge data centers, supports clean energy grids, optimizes buildings and manufacturing operations, and accelerates electrified, efficient transportation systems
Show citation
Coursera. Date unknown. AI and Data Centers: Driving Global Decarbonization. https://www.coursera.org/learn/ai-and-data-centers-driving-global-decarbonization/ (AI & Environment Resource Hub; record atlas-d8b486d35860; collection snapshot 2026-09-15).
Classification and context
Included in the original Course collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
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Available source metadata
- Author or creator
- Unknown or not supplied
- Publisher
- Coursera
- Publication date
- Unknown or not supplied
- Date precision
- unknown
- Geographic scope
- Unknown
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- unknown
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- unknown
- Source status
- verified
- Last verified
- 2026-09-15T16:45:33.097Z
- Snapshot import
- 2026-09-06
- Legacy domain
- Sustainable Computing & AI Footprint
- Legacy subdomain
- Unknown or not supplied
Provenance and review
Source sheet: Course · Row 59 · Original ID: Not supplied.
Availability, fees, and enrollment dates may have changed since collection. 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
Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
Scientific Paper · 2025-08-01
Enhancing Urban Sustainability: The Role of AI-Driven Transportation Systems in Reducing Carbon Footprints
This study shows that AI-driven transportation systems can significantly reduce urban carbon emissions and improve energy efficiency by optimizing routes, easing congestion, and enhancing public transit, while offering policy guidance for sustainable implementation.
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
Scientific Paper · 2025-06-23
Green and Intelligent: The Role of AI in the Climate Transitiion
This paper identifies five ways AI can support climate action and estimates that AI applications in power, food, and mobility sectors can significantly reduce global GHG emissions, potentially outweighing the emissions generated by AI-related data center operations.
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
Policy Document · 2025-02-01
Sustainable AI in Telecom: Promises and Challenges in 6G
As the global climate crisis intensifies, governments, industries, and communities worldwide face an increasing pressure to accelerate efforts toward achieving Net Zero emissions. Although the rapid adoption of Artificial Intelligence (AI) is transforming the Information and Communications Technology (ICT) landscape, it presents both opportunities and challenges. While AI offers powerful tools to optimize energy use, […]