Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
CORES Annual Symposium 2026: AI and Scientific Reproducibility | Stanford HAI
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

CORES Annual Symposium 2026: AI and Scientific Reproducibility

Status
Past
Date
Wednesday, April 29, 2026 12:00 PM - 6:00 PM PST/PDT
Location
Simonyi Conference Center, CoDa, 389 Jane Stanford Way, Stanford, CA 94305
Overview
Watch Event Recordings
Overview
Watch Event Recordings
Share
Link copied to clipboard!
Event Contact
datascience@stanford.edu

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

Overview

The 6th Annual CORES Symposium will focus on AI and Scientific Reproducibility, convening researchers, data scientists, and practitioners to explore how artificial intelligence can enhance the reliability, transparency, and efficiency of scientific research. This half-day event will feature keynote talks, technical presentations, and panel discussions that examine recent innovations in AI-driven reproducibility tools, agentic reproducibility systems, and benchmark frameworks; address key challenges in automating replication workflows; and discuss best practices for integrating AI into scientific pipelines in a trustworthy way. 

Highlights include keynotes by Yiqing Xu, Ludwig Schmidt, and Steffen Bollman, and a panel on AI Trustworthiness featuring Sanmi Koyejo, Rob Reich, and Risa Wechsler, along with lightning talks showcasing ongoing work from Stanford scholars. We will also announce the winners of several prizes for Open Science, Open Source Software, and Data Sharing.

Agenda

12:00pm-1:00pm

Registration and Light Lunch

1:00pm-1:30pm 

Opening Remarks: James Landay, Stanford Institute for Human-Centered AI, Faculty Director, & Russ Poldrack, CORES Faculty Director

1:30pm- 2:00pm 

Keynote: Yiqing Xu - Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis

2:00pm-2:30pm

Keynote: Steffen Bollmann - Automating Neuroimaging Workflows Using AI Coding Agents in the Neurodesk Environment

2:30pm-3:00pm 

Lightning Talks: 

  • Jiacheng Miao - Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents

  • Zijiao Chen - Brain Researcher: An Agentic System from Knowledge Graphs to Reproducible Neuroimaging

  • Ioana Ciuca - Cosmic Co-Discovery with AI: Where Do We Start?

3:00pm-3:15pm

Break

3:15pm-4:00pm

Is AI Trustworthy Enough?
Panel Discussion moderated by Associate Director, Maya Mathur

  • Sanmi Koyejo

  • Rob Reich

  • Risa Wechsler

4:00pm-4:15pm

Robert Rosenkranz (Rosenkranz Foundation) - Better Quality Control for Science:  AI Enhanced Peer Review

4:15pm-4:45pm

Keynote: Ludwig Schmidt - Reproducibility in AI and AI for Reproducibility: ImageNetV2 and Terminal-Bench Science

4:45pm-5:00pm

Awards Presented by Russ Poldrack 

5:00pm-6:00pm

Networking Reception