AI & Environment Resource HubBuildings, cities, infrastructure, and their environmental performance.
Browse all 296 resources →Counts reflect provisional metadata classification, not measured environmental impact. A record may belong to multiple topics.
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Research papers and scholarly literature on impacts, applications, and methods.
Working paper issued May 2026, revised September 2026. Its abstract reports local economic gains alongside higher house prices and public-supply water withdrawals, with electricity-price effects emerging later.
This article identifies fragmented and confidential data as a core barrier to accountable data center planning, grid investment, cost allocation, and public participation. It proposes a national public data center registry administered by the U.S. Energy Information Administration to provide standardized project information before major development and power-supply decisions become difficult to reverse.
This article proposes a five-step state policy roadmap for data center development: conduct environmental and community impact studies, use the findings in siting decisions, reassess incentives, require large facilities to pair with off-grid clean energy and storage, and mandate community-benefit sharing. It focuses on protecting grid reliability, electricity affordability, environmental integrity, and host communities.
Using data on 1,584 U.S. data centers, the authors find that non-construction employment rises after a lag, concentrated in transportation, warehousing and professional services rather than retail or restaurants.
Missing metadata is a curation task, not evidence of absent research or activity. The Resource Hub does not currently contain a validated incident dataset, expert survey, or measurements of net environmental benefit.