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Narrowing the Solar Equity Gap through Solarize
This briefing by RMI describes how local governments in the United States can use inclusive "Solarize" (community bulk-purchasing) campaigns to reduce the solar equity gap for low- and moderate-income (LMI) households. It highlights the role of the Inflation Reduction Act in supporting these efforts and provides evidence from RMI-supported campaigns that utilized community partnerships, targeted funding, and trusted messengers to increase solar adoption in marginalized communities.
AI-generated
This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.
Document type: Briefing
Federal Resources for Nature-Based Solutions to Climate Change
This fact sheet from the Environmental and Energy Study Institute (EESI) surveys federal funding and technical assistance available to state and local governments, tribes, non-governmental organizations, universities, and individuals to implement nature-based solutions for climate resilience. It details various programs across agencies including the EPA, FEMA, HUD, NOAA, USDA, and USFWS, highlighting their eligibility requirements and providing real-world examples of projects such as wetland restoration, green infrastructure, and urban forestry.
AI-generated
This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.
Document type: Fact sheet
Federal Resources for Nature-Based Solutions to Climate Change
This fact sheet from the Environmental and Energy Study Institute (EESI) outlines various United States federal funding and technical assistance programs available to implement nature-based solutions for climate resilience. It details programs from agencies including the EPA, FEMA, HUD, NOAA, USDA, and USFWS, highlighting how these resources support green and natural infrastructure to mitigate hazards like flooding and extreme heat.
AI-generated
This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.
Document type: Fact sheet