Project: Using Machine Learning for Calculating Construction Emissions
Ponsu Muthuraman ’26 evaluated the use of a machine learning tool to improve construction carbon emission estimation.
Stanford recently achieved the highest score of any school to date in the Sustainability Tracking, Assessment & Rating System (STARS), created by the Association for the Advancement of Sustainability in Higher Education (AASHE). STARS is the most comprehensive sustainability reporting framework for higher education, and Stanford’s Platinum-level score of 85.74% recognizes achievements across topics ranging from Campus as a Living Laboratory to Sustainable Dining and Affordability and Access.
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Sustainable Research Computing
Academics, Carbon, Community Engagement, Construction & Demolition, Efficiency, Emissions, Maintenance
Danica Sun ’28 explored smarter resource use for one of Stanford’s major computing clusters.
Decarbonizing Process Steam
Rachel Porter, PhD candidate, investigated alternatives for reducing reliance on Stanford’s natural gas-fired steam plant.