Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Bay Area Tech Economics Seminar with Emma Brunskill | 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
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

Your browser does not support the video tag.
eventSeminar

Bay Area Tech Economics Seminar with Emma Brunskill

Status
Past
Date
Thursday, November 13, 2025 6:30 PM - 8:30 PM PST/PDT
Location
University of San Francisco
Attend Virtually
Share
Link copied to clipboard!

Related Events

Confronting Our AI Future: Hope, Fear, and the Choices Ahead
ConferenceOct 28, 20269:00 AM - 6:45 PM
October
28
2026

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

Conference

Confronting Our AI Future: Hope, Fear, and the Choices Ahead

Oct 28, 20269:00 AM - 6:45 PM

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

Marlowe | AI + Data for Science with Dan Yamins
SeminarOct 28, 2026
October
28
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 Dan Yamins

Oct 28, 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.

Olawale (Wale) Salaudeen | On Construct Validity in AI: The Scientific Work We Have Yet to Do
SeminarOct 30, 20261:00 PM - 2:15 PM
October
30
2026

An AI Measurement Science (AIMS) Seminar Series

Event

Olawale (Wale) Salaudeen | On Construct Validity in AI: The Scientific Work We Have Yet to Do

Oct 30, 20261:00 PM - 2:15 PM

An AI Measurement Science (AIMS) Seminar Series

Speaker: Emma Brunskill, Associate Professor of Computer Science, Stanford University

The logistics details for each seminar will be provided to registered participants. Sign up here to be included on the mailing list and learn about future events.

This talk is co-sponsored by USF's Master's in Applied Economics and the Stanford Causal Science Center. For additional information and abstracts from past talks, please click here

Agenda

  • 6:30 – 7:00 PM: Networking Reception

  • 7:00 – 8:30 PM: Speaker Presentation followed by Q&A

About the Bay Area Tech Economics Seminar

This event brings together graduate-trained economists and other quantitative social scientists from academia, policy, or the private sector who are interested in the tech economy and methods for analyzing it. Each seminar will feature a guest speaker who will present on their work and research, with discussion and questions encouraged throughout. This broadly defined space also offers an opportunity to make connections with others in the field.