
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.

Ponsu Muthuraman ’26 evaluated the use of a machine learning tool to improve construction carbon emission estimation.

Danica Sun ’28 explored smarter resource use for one of Stanford’s major computing clusters.

Rachel Porter, PhD candidate, investigated alternatives for reducing reliance on Stanford’s natural gas-fired steam plant.

From sustainable beats and food recovery leaps, the year 2025 set a new standard for Stanford traditions and operations.

Learn about opportunities that will benefit your home life. To reduce carbon emissions, focus on electrifying and moving away from gas.

The Stanford Alumni Association’s Travel/Study program is rethinking how alumni move through the world—literally.

Stanford and Green Sports Alliance partner to advance sustainability leadership across collegiate athletics.

Stanford representatives joined peers from across the nation at the first-ever Collegiate Sports Sustainability Conference.

From reducing embodied carbon in construction to piloting organic landscape management, the annual Student Sustainability Symposium highlighted how student-led innovation is driving sustainability at Stanford.

Project Background There is significant value in buildings (carbon, cost, historical significance) that is lost when the business-as-usual approach of demolition and rebuilding is continued. …