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This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
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.
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.
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.
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:
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3:00pm-3:15pm | Break |
3:15pm-4:00pm | Is AI Trustworthy Enough? |
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 |
