About the Resource Hub
An open access database collecting information about how AI, data centers, and the environment interact.
A curated collection, made navigable
The Resource Hub brings together public information about AI, data centers, and environmental systems. Its five pathways connect resources through environmental topics, computing lifecycle stages, and perspectives.
The collection includes research, policy, tools, organizations, public professional profiles, courses, podcasts, and media with a substantive environmental or sustainable computing connection.
How the data is prepared
- Import only the approved public spreadsheet tabs; submission responses stay outside the public website.
- Normalize links while preserving original IDs and spreadsheet rows.
- Flag duplicate candidates, missing titles, and invalid links for review.
- Apply searchable labels from titles, summaries, and existing metadata, then keep them open to editorial correction.
What the collection can tell you
Counts show what is currently included in the Resource Hub. They do not measure environmental impact, scientific consensus, source quality, or effectiveness. The collection is not comprehensive, and a resource can belong to more than one topic.
Some dates, locations, languages, and classifications may be missing or uncertain. Tool access details are provided when available. Use each record’s source link to review the original material.
Corrections & contributions
Found something that should change? Use the correction link on any resource page so the record ID and title are included automatically.

