Planning What's Next for the DLF Climate Justice Working Group
Abstract
CLIR recently completed the Climate Resiliency Action Series, an IMLS-funded training program that grew out of a DLF Climate Justice Working Group (CJWG) proposal. At this working session, we will reflect on lessons learned from the workshop series and solicit input about what the CJWG should focus on next.
Full text
What’s Next for the DLF Climate Justice Working Group? DLF Forum Working Group Meeting November 18, 2025 Lisa Spiro Justin Wadland Co-facilitators
Outline Intros CLIR Resiliency Series Data Centers Project
Intros ●Name ●Pronouns ●Institution ●What is your primary concern about climate?
tinyurl.com/dlf-25-cjwg Reminder: Shared Notes
DLF Climate Justice Working Group ●Meetings: typically, last Tuesday of the month at 1pm ET ●Next meeting will be Tuesday, 12/9 at 1pm ET ●Sign-up for our listserv to get involved: tinyurl.com/dlf-cjwg
Join us for a dine-around at D’Corazon @ 5:30pm tonight Meet in the lower lobby at 5:20.
CLIR Climate Resiliency Action Series (2024-2025) https://climate-resiliency.clir.org/ ●Sponsored by CLIR ●Funded by IMLS ●Proposal co-developed by DLF Climate Justice Working Group (CLWG) and CLIR ●Advisory group included members of CLWG ●Sessions planned by Curriculum Committee
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Thematic Sessions ●Climate Resiliency Nuts and Bolts ●Skills-Based Climate Programming ●Combating Climate Anxiety Through Data ●Indigenous Knowledge & Climate Collaboration ●Place-Based Planning ●Big Data and the Preservation Problem
“Sources of global electricity generation for data centres, Base Case, 2020-2035 ” Energy and AI Report by International Energy Association
“The effects of large-scale computation can be found in the atmosphere, the oceans, the earth’s crust, the deep time of the planet, and the brutal impacts on disadvantaged populations around the world. To understand it all, we need a panoramic view of the planetary scale of computation extraction.” - Kate Crawford, Atlas of AI
Data Center Supply Chain ●Phase I: Mineral Extraction ●Phase II: Chip Manufacturing ●Phase III: Data Center and AI Operations ●Phase IV: E-Waste - Ana Valdivia, “Behind the Algorithmic Code: The Environmental Footprint of AI’s Supply Chains,” Oxford Internet Institute Source: Better Images for AI
Sketch of “Data Centers” Project ●Collaborate to develop a framework or guidelines on AI, data center usage, and the climate for library workers and digital scholarship practitioners ●Goals: ○Create a resource that synthesizes current research on climate and environmental impacts of AI and data centers ○Provide tools and information for advocating within institutions and for communities
A pause to look at something green
Responses? ●What kinds of resources would be beneficial to you for navigating questions around the environmental impacts of AI and data centers? ●How would you see yourself contributing to a project like the one we’re considering? ●Who are groups we might collaborate with? ●What else might we consider?
CREDit's: This presentation template was created by Slidesgo , including icons by Flaticon , and infographics & images by Freepik Lisa Spiro - [email protected] Justin Wadland - [email protected] Thanks Do you have any questions? Please keep this slide for attribution