Hoffman-Yee Research Grants
The Hoffman-Yee Research Grants are designed to address significant scientific, technical, or societal challenges requiring an interdisciplinary team and a bold approach. The research spans HAI’s key areas of focus: understanding the human and societal impact of AI, augmenting human capabilities, and developing AI technologies inspired by human intelligence. Each of the winning teams receive up to $500,000 in year-one with the opportunity to receive up to $2,000,000 more over the following two years. These grants are made possible by a gift from philanthropists Reid Hoffman and Michelle Yee.
Visit the Call for Proposals for criteria and eligibility. Letters of Intent are due January 29, 2024. Please direct any questions to hai-grants@lists.stanford.edu.
Read more about the $2.75 million in funding awarded to research teams
focused on solving some of the most challenging problems in the field of AI.
Previous Grant Recipient Projects
Six Stanford research teams have received funding to solve some of the most challenging problems in the field of AI. Learn more about their research and the 2022 Hoffman-Yee Research Grant recipients.
AI Tutors to Help Prepare Students for the 21st-Century Workforce
An AI "Time Machine" for Investigating the History of Concepts
Intelligent Wearable Robotic Devices for Augmenting Human Locomotion
Curious, Self-Aware AI Agents to Build Cognitive Models and Understand Development Disorders
Events
Hoffman-Yee Symposium
Stanford HAI held the Hoffman-Yee Symposium for the 2022 recipients of Hoffman-Yee Research Grants to present their research results to date and plans for the future.
From the HAI Blog
Stanford HAI Awards $2.75M in Hoffman-Yee Grants
This year’s winners propose innovative, bold ideas pushing the boundaries of artificial intelligence.
Stanford HAI Announces Four Hoffman-Yee Grantees
The second round of funding will sponsor teams that leverage AI to focus on real-world problems in health care,...
Building a Wearable That Can Catch You When You Stumble
An AI-based robotics system can predict and prevent falls in high-risk populations.
Learn More
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