AI-Ready and FAIR Data Across the JLab EIC Community

Friday Oct 2, 2026, 9:30 AM → 12:00 PM US/Eastern

Rolf Ent (Jefferson Lab)

This extended JLab EIC meeting will bring together representatives from the accelerator physics, experimental and theoretical nuclear physics, and data science communities to discuss AI-ready and FAIR data.

The meeting will focus on the respective definitions of AI-ready and FAIR data across these communities, as well as ongoing activities and future plans. The goal is to compare perspectives, identify common needs and differences, and explore opportunities for synergies and collaboration. Short presentations from each area will provide context for an extended discussion on shared challenges and future directions. 

We will use Zoom for the remote meeting: 

• https://jlab-org.zoomgov.com/j/1602095858?pwd=QUhWdjRKNGhCd094dm9hTGJHdVBWUT09
• Meeting ID: 1602095858
• Password: 521006

9:30 AM → 9:40 AM Introduction

Speaker: Rolf Ent (JLab)

9:40 AM → 10:55 AM Community Perspectives on AI-Ready and FAIR Data

9:40 AM Data Science Perspective

Speaker: Laura Biven (Jefferson Lab)

9:55 AM Accelerator and NARAD Perspective

Speaker: Todd Satogata (Jefferson Lab)

10:10 AM ePIC Perspective

10:25 AM CEBAF Experiments Perspective

10:40 AM Lattice QCD Perspective

Speaker: Robert Edwards (Jefferson Lab)

10:55 AM → 12:00 PM Cross-Community Discussion

10:55 AM Group Discussion

Commonalities and differences across the community perspectives; shared challenges and opportunities; areas for collaboration.