Workshop archive and follow-up

AI4RA: The Intersection Between AI and Data

This site now serves two jobs. You can revisit the workshop as it was delivered at REACH 2026, or you can use the post-workshop guides and resources to turn the material into a practical pilot at your own institution.

View workshop content Get post-workshop support

Start with the path that matches what you need today, then cross over when you are ready.

National Science Foundation logo Funded by National Science Foundation grant #2427549

AI4RA mark
Delivered April 20, 2026
Two ways in Workshop content as delivered or post-workshop support
Presenters Barrie Robison, Nate Layman, and Nathan Wiggins
Focus Data organization, governance, AI literacy, and context engineering

Choose Your Path

Use the home page as a doorway to either the delivered workshop or the follow-through work.

Workshop content as delivered

Revisit the modules, slides, presenters, and interactive materials

Use this path if you want to replay the workshop itself, review the module sequence, reopen the slide decks, or revisit the companion materials as attendees experienced them.

  • Open the three workshop modules and facilitator guides.
  • Revisit presenter bios, session framing, and workshop resources.
  • Re-enable the interactive activities when you want to replay live elements.
Post-workshop support

Use role-based guides, pilot ideas, and resource maps to move into practice

Use this path if you want help deciding what to try next at your institution, how to start small, or which tools make sense for research administration, software and data teams, leadership, or mixed groups.

  • Follow role-based paths for research administration, data teams, leadership, and mixed groups.
  • Use the pilot ideas and 30-day roadmap to scope realistic next steps.
  • Find the right AI4RA resource faster instead of scanning the whole stack.

Post-workshop support

If you are here to act on the workshop, start with the path that fits your role.

Research administration

Start with one workflow people already do by hand

Pilots land best when they focus on one document-heavy or review-heavy task such as sponsor notices, subawards, or compliance checks.

Software and data

Use the tools as prototypes for governed local workflows

Data Crawler Carl, the UDM, and the lakehouse materials are a better starting point than a blank-slate AI build.

Leadership

Sponsor a small pilot with explicit guardrails

The strongest leadership move is not a broad mandate. It is naming one owner, one source of truth, and one decision rule for success.

Mixed teams

Use the workshop as a shared language across roles

Cross-functional teams can replay the modules together, then pick a single 30-day pilot that combines domain expertise, data, and governance.

After you choose support

The fastest way to lose momentum is to treat every workshop idea as one project.

Pick one workflow, one source of truth, one owner, and one evaluation rule. Then decide whether to automate, augment, or leave it alone.