W3C Context Graph CG — Weekly Update

Hi everyone,

Here's what this email covers:

   - Committee Chairs / Introducing Dr. Lorien Pratt
   - First project / Context Graph session (30 minutes): Spin up on GitHub
   - Collecting Empirical Evidence / paper

Committee Chairs
I'm working through highlighting our amazing Committee Chairs, especially
as we've almost doubled in size I believe from our first kick off meeting!

Dr. Lorien Pratt <https://en.wikipedia.org/wiki/Lorien_Pratt> is Chair for
the Decision Intelligence Interface committee. Lorien brings deep
experience working with Fortune 500 organizations on decision modeling and
is the author of the book "Link <https://a.co/d/01OVZwNL>." We're glad to
have her leading this work.

If you're interested in joining her or any other committee, reply to me
personally as I'm compiling the list. This committee will focus on how
context graphs interface with decision models and decision-making workflows.

*Reminder — all committee chairs:*
1. Agentic AI: Alex Brown
2. Knowledge Intelligence: Audrey Depeige
3. Business & Industry: Anthony Marquardt
4. APIs & JSON Schema: Juan Cruz Viotti
5. Mathematics: Jacek Kowalski
6. Decision Intelligence Interface: Dr. Lorien Pratt

First project / Context Graph session (30 minutes)
If you are interested in spinning up our first context graph example in a
glorious alpha likely destined to implode a couple of times in a demo, we
are looking for brave souls willing to give it a try, please let me know if
you want to connect.

New Paper (for collecting empirical evidence)
The experiment will effectively be oil prices and an ambiguous date:
04/05/2026: can we measure uncertainty created by it in a simple decision
model across boundaries with AI Agents?

*Breaking Bellman: Dark Uncertainty and the Computable Cost of
Desynchronized Decision Networks*
Link: https://zenodo.org/records/19472645

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Thanks,
Ron

[image: figure-2.png]