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Hoffman-Yee Research Grants

The Hoffman-Yee Research Grants are designed to fund interdisciplinary teams with research spanning 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. These grants are made possible by a gift from philanthropists Reid Hoffman and Michelle Yee. 

The six teams chosen to receive the inaugural grants will address significant scientific, technical, or societal challenges requiring an interdisciplinary collaboration. They were selected for their boldness, ingenuity, and potential for transformative impact. To learn more about the selection criteria and eligibility, see the Call for Proposals. For any questions related to grants, please email HAI-Grants@stanford.edu

If you are interested in receiving future announcements about HAI grant programs and other opportunities and events, please sign up for our faculty and staff mailing list
 

In the News

Inaugural AI research grants advance transformational projects in education, health care and government

From the HAI Blog

Grant Recipients

Intelligent Wearable Robotic Devices for Augmenting Human Locomotion

Falling injuries among the elderly cost the U.S. health system $50 billion (2015)—while causing immeasurable suffering and loss of independence. This research team seeks to develop wearable robotic devices using an AI system that both aids in human locomotion, as well as predicts and prevents falls among older people.

NAME ROLE SCHOOL DEPARTMENTS
Karen Liu PI Engineering Computer Science
Steve Collins Co-PI Engineering Mechanical Engineering
Scott Delp Co-PI Engineering Bioengineering, Mechanical Engineering, Orthopaedic Surgery
Leo Guibas Co-PI Engineering Computer Science, Electrical Engineering (courtesy)
VJ Periyakoil Co-PI School of Medicine Primary Care

AI Tutors to Help Prepare Students for the 21st Century Workforce

The project aims to demonstrate a path to effective, inspiring education that is accessible and scalable. The team will create new AI systems that model and support learners as they work through open-ended activities like writing, drawing, working on a science lab, or coding. The research will monitor learners’ motivation, identity, and competency to improve student learning. Tested solutions will be implemented in code.org, brick-and-mortar schools, virtual science labs and beyond.

NAME ROLE SCHOOL DEPARTMENTS
Chris Piech PI Engineering Computer Science
Emma Brunskill Co-PI Engineering Computer Science
Noah Goodman Co-PI Humanities and Sciences, Engineering Psychology, Computer Science, Linguistics (courtesy)
James Landay Co-PI Engineering  Computer Science
Jennifer Langer-Osuna Co-PI Graduate School of Education  
Dan Schwartz Co-PI Graduate School of Education  

Toward Grounded, Adaptive Communication Agents

This project aims to develop next-generation, language-based virtual agents capable of collaborating with humans on meaningful, challenging tasks such as caring for patients. The research could be particularly impactful for assistive technologies, where a human’s behavior and language use will change over repeated interactions with their personal agent.

NAME ROLE SCHOOL DEPARTMENTS
Christopher Potts PI Humanities and Sciences Linguistics, Computer Science (Courtesy)
Judith Degen Co-PI Humanities and Sciences Linguistics
Mike Frank Co-PI Humanities and Sciences Psychology, Linguistics (courtesy)
Noah Goodman Co-PI Humanities and Sciences, Engineering Psychology, Computer Science, Linguistics (courtesy)
Thomas Icard Co-PI Humanities and sciences Philosophy, Computer Science (courtesy)
Dorsa Sadigh Co-PI Engineering Computer Science, Electrical Engineering
Mariano-Florentino Cuéllar Participating Faculty Law   

Curious, Self-aware AI Agents to Build Cognitive Models and Understand Developmental Disorders

Human children learn about their world and other people as they explore. This project will bring together tools from AI and cognitive and clinical sciences, creating playful, socially interactive artificial agents, and improving the understanding and diagnosis of development variability, including Autism Spectrum Disorder. In the process, the team hopes to gain insights into building robots that can handle new environments and interact naturally in social settings.

NAME ROLE SCHOOL DEPARTMENTS
Dan Yamins PI Humanities and Sciences, Engineering Psychology, Computer Science
Mike Frank Co-PI Humanites and Sciences Psychology, Linguistics (courtesy)
Nick Haber Co-PI Education Computer Science (courtesy)
Fei-Fei Li Co-PI Engineering Computer Science
Dennis P. Wall Co-PI Medicine Pediatrics, Psychiatry (courtesy), Biomedical Data Sciences 
 

Reinventing Government with AI: Modern Tax Administration

This team seeks to demonstrate how AI-driven, evidence-based learning can benefit U.S. government agencies by driving efficiencies and improving the delivery of services. The team proposes an active-learning system that uses an AI algorithm to decide which tax returns should be prioritized for auditing for a more effective and fairer tax collection system.  This research will have implications for a wide range of other governmental contexts, including environmental and health compliance.

NAME ROLE SCHOOL DEPARTMENTS
Jacob Goldin PI Law

Law

Daniel Ho Co-PI Law Political Science
Guido Imbens Co-PI Business Economics
Anne Joseph O'Connell Co-PI Law Law
Jure Leskovec Co-PI Engineering Computer Science
Rebecca Lester Co-PI Business Business

An AI “Time Machine” for Investigating the History of Concepts

This research will develop new AI technology to examine historical texts in multiple languages to help humanists and social scientists better interpret history and society. Researchers will investigate key questions on morality, immigration, bias, aesthetics, and more. Using AI to help analyze how ideas change over time and how thought shapes society could be a breakthrough contribution not only to AI but to the humanities as well.

NAME ROLE SCHOOL DEPARTMENTS
Ran Abramitzky Co-PI Humanities and Sciences Economics
Mark Algee-Hewitt Co-PI Humanities and Sciences English
R. Lanier Anderson Co-PI Humanities and Sciences Philosophy
Dan Edelstein Co-PI Humanities and Sciences French & Italian, History (courtesy)
Matt Gentzkow Co-PI Humanities and Sciences Economics
Dan Jurafsky Co-PI Humanities and Sciences, Engineering Linguistics, Computer Science
Alison McQueen Co-PI Humanities and Sciences Political Science
Londa Schiebinger Co-PI Humanities and Sciences History
Rob Willer Co-PI Humanities and Sciences, Business (by courtesy) Sociology, Psychology (by courtesy)
Jamil Zaki Co-PI Humanities and Sciences Psychology
James Zou Co-PI School of Medicine Biomedical Data Science, Computer Science (by courtesy), Electrical Engineering (by courtesy)
Catherine Coleman Senior Personnel