
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 stakeholders’ willingness for trade-offs to a green game plan, the student interns and fellows presented on their operational accomplishments from the year.
For Ultra Low-Temperature Freezers Are you buying a new ultra-low temperature freezer? Rebates are available for choosing energy-efficient models, whether you are replacing an old freezer …
Join Green Chemistry experts from Millipore Sigma to learn about embodied carbon in the chemicals industry. Through real-world case studies, we will examine major sources …
This session is helpful for employees who manage funds and make purchases for their team or department. This information session will highlight topics such as:

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

The university earns STARS Platinum in version 3.0, the highest score under the sustainability rating system.

Stanford’s Travel/Study programs are leading a quiet revolution in climate-conscious cuisine.