Council of Chapters Traveling Course

2024 Traveling Courses


The Council of Chapters Traveling Courses provide low-cost courses for ASA Chapters. In 2024, there is the option of the courses being presented virtually or in-person. The chapter, speaker(s), and Chair of the Traveling Course committee will decide the best option for each course presentation. The Council of Chapters sponsors this activity by paying speaker honoraria and, in the case of an in-person presentation, speaker travel to and from the host site. The Chapter is in charge of advertising and registration. If the course is presented virtually, the Chapter will host the course and provide the platform (Zoom, WebEx, Microsoft Teams, etc.). If it is to be an in-person course, the Chapter is responsible for onsite presenter travel expenses (hotel, meals, ground transportation) and course costs (production of course handouts, catering, room rental, AV equipment rental, etc),

Regardless of the presentation format, the greater of $25 for each attendee or $500 is paid back to the Council of Chapters.

The Traveling Course committee, made up of at least one member of each of the six Chapter Districts and ASA staff liaison, chooses the local Chapters and works with the speakers and Chapters to select dates for each course. The courses are often awarded to smaller Chapters and Chapters that have not had a traveling course recently.

The 2024 course offerings cover the entire year. To allow as much flexibility in planning the best use of the instructors' time, the deadline for applications is January 22, 2024, at 8:00 p.m. Eastern time. Applications may be submitted throughout 2024 but courses will be subject to speaker availability and Travel Course funding.

2024 Traveling Course Offerings (click on title for course description):

Data: Ethical Issues and Best Practices and Ethical Issues and Best Practices in Analytics
Instructors: David Corliss, Principal Data Scientist at Grafham Analytics and University of Michigan Institute for Data Science (MIDAS) as a Data and AI in Society Specialist
Full-day day course


From Big Data to Better Insights: A Primer on using Machine Learning Methods in a Data-Centric World

Instructor: Trent D. Buskirk, Ph.D., Old Dominion University

Full Day Course (can be adapted to half day as well)


Fundamentals of Causal Inference: With R
Instructors: Babette Brumback, Professor Emerita, University of Florida Department of Biostatistics
Full-day course

Data Visualization with R
Instructor: Aaron Williams, Urban Institute 
Full-day course

From R Markdown to Quarto
Instructors: Andrew Bray, UC Berkeley, and Mine Çetinkaya-Rundel, Duke University and RStudio
Full-day Course

DEADLINE: January 22, 2024, at 8:00 p.m. Eastern time

Traveling Course APPLICATION

Tips on Hosting a COC Traveling Course