Call for Content

Submit an abstract that demonstrates how you’ve used JMP to solve real problems. If your abstract is selected, you will be invited to present at Discovery Summit 2026, happening Oct. 19-22 in Baltimore.

Entries are due by Tuesday, April 21.

What should presenters expect?

Presenters at Discovery Summit 2026 should expect to share the agenda with progressive analytic minds and keynote speakers who are thought leaders in statistics, technology, and innovation – both from academia and industry.

Paper and poster presentations shape the conference conversation on how to apply analytics in forward-thinking companies – in fact, many attendees cite user-made presentations as one of the most valuable facets of the event.

Who chooses the papers and posters?

The Discovery Summit Steering Committee selects abstracts to be presented. If you are chosen to present, you will be notified in May.

What is the Steering Committee looking for?

We want paper presentations that:

Feature interactive use of JMP.
Spark conversations and foster dialogue about how analytics can be spread across organizations, not stuck in isolated pockets.
Describe real-world problems solved by the strategic implementation of analytic methods and statistical techniques.
Showcase an interesting application you’ve built with JMP Scripting Language.
Advance and shape the application of statistical methods in a multidisciplinary setting.

We want posters that:

Present a clear story, ideally summarized in 3-5 slides.
Exhibit substantial evidence of the nature of a designated problem.
Present the method(s) used to reach a viable solution.
Provide a solid explanation of that solution.
Please note that posters are displayed throughout the conference in its entirety and will also be assigned a dedicated presentation time.

Submit an abstract

Paper and poster timeline

Tuesday, Feb 17: Call for Content Opens
Tuesday, Apr 21: Call for Content Closes
Monday, May 18: Paper and poster selections announced

Any Questions? kirsten.crannell@jmp.com