FARR Workshop 2026
Meeting Agenda/Slides

Wednesday, April 8, 2026

 

8:00-9:00 am 

Breakfast/Registration

 

9:00-10:15 am 

Opening Plenary  

1. Christine Kirkpatrick (SDSC), Introduction to FARR 

2. Daniel S. Katz (UIUC), FAIR in ML

3. Christine Kirkpatrick (SDSC), AI Readiness - Data 

4. Karen Stocks (SIO UCSD), AI Readiness - Repositories

5. Douglas Rao (NCSU), AI Reproducibility

 

10:15-10:45 am 

AM break

 

10:45 am-12:15 pm

Advancement Across Domains

Moderator: Karen Stocks (SIO UCSD)

1. Eric Sokol (NEON, Battelle): FAIR4AI‑Biodiversity: Outcomes from the AI-ready ecology/biodiversity data infrastructure workshop

2. Michela Taufer (UTK): From FAIR to FARR: Making Geoscience AI Ready and Reproducible at Inference Time

3. David Elbert (Johns Hopkins University)

 

12:15-1:15 pm

Lunch

 

1:15-2:30 pm

Community Priorities and Gaps by Themes

Moderators: Christine Kirkpatrick, Karen Stocks, Daniel S. Katz,  Douglas Rao

 

2:30-3:00 pm

Poster Flash Talks (1 min each) Moderator: Chris Erdmann (SDSC)

 

3:00-4:00 pm

Poster session / PM Break       

 

4:00-5:30 pm

HDR Machine Learning (ML) Challenge - Talks and Awards

1. Challenge Program Introduction: Elizabeth Campolongo (Imageomics)

2. Beetles as Sentinel Taxa

   1. Overview: David Carlyn and Alyson East (Imageomics)

   2. Winner Presentation: Nebiyeleul Yifru (UMBC)

3. Predicting Coastal Flooding Events

   1. Overview: Sai Vikas Amaraneni (iHARP)

   2. Winner Presentation: Dony Darmawan Putra (National Sun Yat-sen University)

4. Forecasting Monkey Motor Neuron Behavior

   1. Overview: Philip Harris (A3D3)

   2. A3D3 & Overall Winner Presentation: Tze-Hsiang Tang (Schneider Electric Taiwan Co., Ltd)

5. Closing Remarks: Amy Walton (NSF)

 

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Thursday, April 9, 2026

 

8:00-9:00 am 

Breakfast/Registration

 

9:00-10:15 am

Crosscutting Advances

Moderator: Daniel S. Katz (UIUC)

1. Wesley Brewer (ORNL), Data Readiness for Scientific AI 

2. Kate Keahey (ANL/UChicago), REPETO: Practical Reproducibility in Computer Science

3. Sean Wilkinson (ORNL): READMEs for Machines: Metadata Readiness for Autonomous AI Workflows

 

10:15-10:30 am

Group Photo

 

10:30-11:00 am 

AM break

 

11:00 am-12:15 pm

Getting Ready for the Future 

Moderators: Christine Kirkpatrick, Karen Stocks, Daniel S. Katz, Douglas Rao

 

12:15-1:15 pm

Lunch

 

1:15-2:45 pm

Cross Agency Panel - FARR-related challenge

Moderator: Christine Kirkpatrick (SDSC)

1. Steven Crawford (NASA), AI for NASA Science

2. Susan Gregurick (NIH), Engineering the Future: Opportunities and Challenges in Biomedical AI at NIH

3. Gretchen Greene (NIST), FAIR AI/ML Data at NIST

4. Alejandro Suarez (NSF), Data access, integration, and readiness at the National AI Research Resource (NAIRR)

5. David Rabson (DOE), FAIR data and Genesis Mission

 

2:45-3:00 pm

Closing Remarks

Christine Kirkpatrick (SDSC)

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