Women in Data Science (WiDS) Conference | 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.
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us
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

Your browser does not support the video tag.
eventConference

Women in Data Science (WiDS) Conference

Status
Past
Date
Monday, March 04, 2019 12:00 AM PST/PDT
Location
Frances C. Arrillaga Alumni Center
Share
Link copied to clipboard!
Event Contact
widsconference@stanford.edu

Related Events

Tim de Silva | AI Financial Advice: Supply, Demand, and Life Cycle Implications
SeminarOct 07, 202612:00 PM - 1:15 PM
October
07
2026
Seminar

Tim de Silva | AI Financial Advice: Supply, Demand, and Life Cycle Implications

Oct 07, 202612:00 PM - 1:15 PM
NVIDIA & Marlowe | GPU Computing Foundations - Amanda Butler
Oct 07, 2026
October
07
2026

This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.

Location: CoDa W401

Event

NVIDIA & Marlowe | GPU Computing Foundations - Amanda Butler

Oct 07, 2026

This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.

Location: CoDa W401

Marlowe | AI + Data for Science with Olivier Gevaert
SeminarOct 07, 2026
October
07
2026

For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Event

Marlowe | AI + Data for Science with Olivier Gevaert

Oct 07, 2026

For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Women in Data Science logo

Tickets are required to attend the conference in-person at Stanford University: https://sto.stanfordtickets.org/auxiliary/Reserve.aspx?p=8869&nbsp

The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. WiDS started as a conference at Stanford in November 2015. Now, WiDS includes a global conference, with 150+ regional events worldwide; a datathon, encouraging participants to hone their skills; and a podcast, featuring leaders in the field talking about their work, and their journeys. WiDS will be held at Stanford University, at 150+ regional events hosted by WiDS Ambassadors, and available via livestream. The 2019 program will feature fantastic speakers on a broad array of topics ranging from data ethics and privacy to cybersecurity to data visualization, and more. 

More Information: 

http://www.widsconference.org/