Short Courses

JRC 2027 will offer one or more pre-conference short courses on Monday, June 21, 2027 — the day before the main conference begins.

Short courses are full-day (or half-day) workshops designed to provide hands-on, in-depth training on cutting-edge topics in statistics, data science, and related fields. They are open to all conference registrants as well as non-attendees (subject to capacity).

2027 Short Course(s)

Short course details — title, instructor, and description — will be announced soon.

In 2024 (JRC at the University of Waterloo), the pre-conference short course was:

Introduction to Large Language Models
Instructor: Ming Li (Coupang; formerly Amazon, University of Washington)
A full-day, hands-on course covering foundational LLM concepts, cloud-based computing environments, practical text data applications, and integration into the statistical workflow.

Format

Date: Monday, June 21, 2027
Location: University of Connecticut, Storrs (specific room TBA)
Duration: Full day (approximately 9:00 a.m. – 5:00 p.m.)
Includes: Coffee breaks and lunch

Registration and Fees

Short course registration is separate from main conference registration. Fees and registration details will be announced when the course is confirmed.

Discounted rates may be available for ASA members and students.