Hoffman-Yee Symposium 2025 | Stanford HAI
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eventConference

Hoffman-Yee Symposium 2025

Status
Past
Date
Tuesday, October 14, 2025 9:30 AM - 4:10 PM PST/PDT
Location
Stanford Computing and Data Science (CoDa) Building, 4th Floor; 389 Jane Stanford Way, Stanford, CA 94305
Attend Virtually
Overview
Agenda
Watch Event Recordings

The 2025 Hoffman-Yee Grant Symposium will comprise of public talks from the six teams who are competing for funding, as well as showcase the work of the four 2024 winners of the Hoffman-Yee Research Grants. All teams will present their results to date and plans for the future.

The Hoffman-Yee Research Grant program is a multiyear initiative to invest in research that leverages artificial intelligence to address significant scientific and/or societal challenges aligned with Stanford 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. We believe the results of these projects could play a significant role in defining future work in AI from academia to industry, government, healthcare and civil society.

Organizers
James Landay
Denning Director, Stanford HAI | Anand Rajaraman and Venky Harinarayan Professor of Computer Science, Stanford University
Vanessa Parli
Director of Research, Stanford HAI
headshot
Christine Raval
Research Program Manager, Stanford HAI
Overview
Agenda
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Event Contact
Stanford Events Team
stanford-hai@stanford.edu
Related
  • Closed
    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.

    These grants are made possible by a gift from philanthropists Reid Hoffman and Michelle Yee.

  • 2023 Hoffman-Yee Symposium
    conferenceSep 19, 20239:00 AM - 5:30 PM
    September
    19
    2023
  • Stanford HAI Announces Hoffman-Yee Grants Recipients for 2024
    Nikki Goth Itoi
    Aug 21
    announcement

    Six interdisciplinary research teams received a total of $3 million to pursue groundbreaking ideas in the field of AI.

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