Stanford Data Science Scholar Anna Thomas Wins Bezos Earth Fund AI for Climate Award | Stanford HAI
Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Research Programs
    • Grants
    • Marlowe (opens in new tab)
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

news

Stanford Data Science Scholar Anna Thomas Wins Bezos Earth Fund AI for Climate Award

Date
October 23, 2025
Topics
Communications, Media

Congratulations to our brilliant SDS Scholar Anna Thomas and her team!

A team co-led by Anna Thomas, in collaboration with the nonprofit Food System Innovations, has been selected as one of 15 winners of the Bezos Earth Fund AI for Climate and Nature Grand Challenge — chosen from more than 1,200 applicants worldwide. Read the press release! 

Their project will receive $2 million to advance open-source AI solutions for sustainable protein design, helping drive innovation toward a more resilient and sustainable food system.


This article is a part of the Stanford Data Science legacy publication. Read more about the HAI and Stanford Data Science merger.

Share
Link copied to clipboard!

Related News

Reading Today’s Headlines Through AI: A Real-Time Audit of Six Commercial Chatbots
Mirac Suzgun and James Zou
Jun 03, 2026
News

In a new study, scholars measured how accurately popular AI chatbots answered questions about the emerging news and found substantial regional disparity, dependence on distinct information ecosystems, and acute fragility under imperfect prompts.

News

Reading Today’s Headlines Through AI: A Real-Time Audit of Six Commercial Chatbots

Mirac Suzgun and James Zou
Communications, MediaGenerative AIJun 03

In a new study, scholars measured how accurately popular AI chatbots answered questions about the emerging news and found substantial regional disparity, dependence on distinct information ecosystems, and acute fragility under imperfect prompts.

CORES Faculty Director Featured in "The Transmitter": A brief history of precision self-scanning
Jan 21, 2026
Media Mention
Media Mention

CORES Faculty Director Featured in "The Transmitter": A brief history of precision self-scanning

Communications, MediaJan 21
Marlowe Computing Spotlight: Andreas Tolias Lab
Jan 20, 2026
Media Mention
Media Mention

Marlowe Computing Spotlight: Andreas Tolias Lab

Communications, MediaJan 20