Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Women in Data Science (WiDS) Conference | Stanford HAI
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

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

Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us
Your browser does not support the video tag.
eventConference

Women in Data Science (WiDS) Conference

Status
Past
Date
Monday, March 07, 2022 8:00 AM - 6:00 PM PST/PDT
Location
Francis C. Arrillaga Alumni Center
Share
Link copied to clipboard!
Event Contact
judymac@stanford.edu

Related Events

Marlowe | AI + Data for Science with Curtis Langlotz
SeminarOct 14, 2026
October
14
2026

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Event

Marlowe | AI + Data for Science with Curtis Langlotz

Oct 14, 2026

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Serena Wang: From Metric Selection to Metric Discovery in AI Evaluation
SeminarOct 16, 20261:00 PM - 2:15 PM
October
16
2026
Seminar
Your browser does not support the video tag.

Serena Wang: From Metric Selection to Metric Discovery in AI Evaluation

Oct 16, 20261:00 PM - 2:15 PM
Carina Hong | AI That Can Prove It: From Mathematical Discovery to Verified Software
Oct 19, 202612:00 PM - 1:00 PM
October
19
2026

A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.

Event

Carina Hong | AI That Can Prove It: From Mathematical Discovery to Verified Software

Oct 19, 202612:00 PM - 1:00 PM

A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.

Women in Data Science logo

Get tickets for this event

Register now for the Women in Data Science (WiDS) Worldwide conference 2022, a technical conference featuring outstanding women discussing their exceptional work in data science and related fields, in a wide variety of research domains. Everyone is welcome and encouraged to attend. This conference is a hybrid event, in-person at Stanford University and online. The in-person event is sold out, except for a few tickets for Academia (faculty/staff)/Non-profit/Government. http://bit.ly/widsworldwide2022_stanfordeventcalendar Tickets are on sale now for the virtual conference, which will start two hours earlier than the in-person conference (6:00 am PST). The first 5,000 students who register can do so for free. Additional discounts are available for Academia (faculty/staff/postdoc)/Non-profit/Government. 

More Information: 
https://www.widsconference.org/