A collaboration between the Stanford Doerr School of Sustainability and Stanford Graduate School of Business Executive Education, will offer a program for chief sustainability officers (CSOs) that brings a unique combination of business skills and sustainabil
This opinion piece by NY Times economics writer, Peter Coy, about New York City's congestion pricing plan, includes Devansh Jalota, Ph.D. candidate in Marco Pavone's Autonomous System's Lab's research on redistributing the revenue raised by congestion pricing by refunding funds to reduce traffic congestion without worsening economic equity.
President Biden signed Executive Order 14110 on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence on October 30. Stanford HAI's AI Tracker follows and accesses the government's actions on AI.
Using cellphone data, Stanford researchers determined how often people of different socioeconomic statuses crossed paths. Their research shows people in big cities do not interact with others outside their own socioeconomic bracket, but locating public infrastructure between neighborhoods foster more socioeconomic mixing that will promote diversity.
Last year saw major advances in generative AI with major investments into AI startups and policymakers in both the U.S. and EU putting forth AI regulation. In this article, seven Stanford HAI faculty and fellows predict the biggest stories in artificial intelligence.
The Understand Energy Learning Hub website seeks to help anyone find answers on more than 30 energy topics. The Understand Energy Learning Hub helps people build their energy literacy or just be a quick source of needed information. The website shares content from Stanford's Understand Energy course.
Vehicle-mounted sensors, cameras and other devices are being used by Stanford researchers to help assess neighborhood conditions such as air quality, potholes and building deterioration. The goal of the project is to enhance the living conditions and wellbeing of communities that have been long marginalized and neglected.
Visualization for Machine Learning or VIS4ML can help developers better design, train, and understand their models. A recent paper available on preprint service ArXiv.org and accepted for publication at IEEE VIS, by a faculty fellow at Stanford HAI, finds that researchers in this space are making inappropriately broad claims about their tools' applicability.
The Stanford Emerging Technology Review's first-edition report was recently introduced at an event on campus and is available for download. The report serves as a primer for ten pivotal technology domains and will be updated regularly.
Much of the $1 trillion Bipartisan Infrastructure Bill is targeted for building and repairing roads, bridges, and railways and is headed to the states. A new study details how these auctions work and how they might be tweaked to lower the cost of infrastructure projects, potentially saving governments (and taxpayers) billions of dollars
