Empowering Students to Engage with Climate Change Action: A Project-Based Module for Artificial Intelligence Literacy and Sustainability Thinking
Gabriel Granco; Yu Chen; Heather Macias; Yunfei Hou; Frank A. Gomez · 2026-05-11
There is a growing need to prepare students to address complex environmental challenges, particularly climate change and the expanding role of artificial intelligence (AI). This article examines the adaptation of the Artificial Intelligence for Social Good (AI4SG) Ideation module, a pitch- and project-based teaching framework designed to integrate AI literacy and sustainability education.
Gabriel Granco; Yu Chen; Heather Macias; Yunfei Hou; Frank A. Gomez. 2026-05-11. Empowering Students to Engage with Climate Change Action: A Project-Based Module for Artificial Intelligence Literacy and Sustainability Thinking. https://www.tandfonline.com/doi/full/10.1080/00330124.2026.2664201 (AI & Environment Resource Hub; record paper-461; collection snapshot 2026-09-15).
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Dive into this groundbreaking podcast that unpacks the powerful intersection of AI, sustainability, and higher education. Listen to inspiring voices as they share how AI is driving sustainable development and reshaping education. Uncover the transformative potential of AI as well as ensuing risks and challenges in tackling climate change, addressing inequality, and powering smarter learning systems. Join the global conversation on the ethics, opportunities, and disruptions AI brings to education and its role in achieving the 2030 Agenda.
youtube.com
Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Weather, hazards, and adaptation
A comprehensive evaluation of machine learning regression models enhances the precision of GHG emission predictions, comparing traditional and advanced algorithms while integrating feature selection techniques like LIME to improve model interpretability and inform environmental policy.
SpringerNature
Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Weather, hazards, and adaptation
The Environmental and Energy Study Institute (EESI) invites you to a briefing discussing the intersection of artificial intelligence (AI) and climate change in federal policy-making. While AI can aid in climate resilience and boost economic competitiveness, it is also on a trajectory to increase energy demand, greenhouse gas emissions, and water usage. This paradox presents an important opportunity for discussion on how to best minimize the negative impacts of AI on the environment and harness its powers for a sustainable future.
youtube.com
Shared topics: Governance and society; Education and skills; Climate and greenhouse gases; Weather, hazards, and adaptation
Using natural language processing and interviews, this study finds that vague definitions and geographic inaccessibility of green jobs in Worcester, MA hinder the development of a climate-ready workforce and the implementation of local climate adaptation plans.
