Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Inaugural Berkeley-Stanford Workshop on Veridical Data Science | Stanford HAI

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

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
Your browser does not support the video tag.
eventWorkshop

Inaugural Berkeley-Stanford Workshop on Veridical Data Science

Status
Past
Date
Friday, May 31, 2024 8:45 AM - 5:30 PM PST/PDT
Location
2594 Hearst Ave, Banatao Auditorium, Sutardja Dai Hall, 3rd Floor, Berkeley, CA 94720
Attend Virtually
Share
Link copied to clipboard!
Event Contact
bids@berkeley.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.

The Berkeley-Stanford Veridical Data Science Workshop is focused on showcasing and promoting veridical (truthful) data science (VDS) for reproducible, reliable data analysis and decision-making. It intends to build a community of veridical data science researchers for trustworthy data science, machine learning, and artificial intelligence. The discussions will promote opportunities for statisticians and data scientists to identify important VDS research topics and critical applications in academia and industry. Graduate students and early career researchers will benefit from this conference to find future research directions. Learn more about the workshop and view the full agenda

This workshop is jointly hosted by:

  • Berkeley Institute of Data Science (BIDS) and the Department of Statistics, parts of UC Berkeley's College of Computing, Data Science, and Society (CDSS)

  • Stanford Data Science Center for Open and REproducible Science (SDS-CORES)