October 26-28, 2023
Miami, FL
Miami Marriott Dadeland
ATMI is holding its 2023 National Conference in conjunction with the College Music Society’s Sixty-Sixth National Conference.
CMS/ATMI National Conferences routinely attract over 400 faculty, administrators, graduate students, independent scholars, composers, publishers, and music business personnel who share a common interest and dedication to the improvement of music and its relationship to the other academic disciplines of higher education.
The conference program presents higher education’s broadest array of topics dealing with technology in music instruction. Uses of new hardware and software are explored in a variety of formats. Through papers, panels, posters, and workshop sessions, ATMI conferences provide the opportunity to explore the uses of technology in all aspects of music instruction.
Conference Information
Registration Information
2023 Conference registration – NOW OPEN
Conference Program Information
2023 Conference Overview – CMS
2023 Conference Program (PDF)
2023 Eposters and Asynch Presentations Information
2023 Lightning Talks Schedule
2023 Student Research Papers Schedule
2023 Abstracts (PDF)
2023 Presenter Bios (PDF)
2023 Keynote Speaker(s)
For all conference information, also see the College Music Society site.
Hotel Information
Direct link to the hotel website
Information on CMS webiste
Travel Information
Please see the College Music Society page for travel information.
Call For Proposals
Call for presentations – CLOSED
Supplemental Calls for Proposals for CMS
Asynchronous Virtual Presentations and Lighting Talks
Roundtable Think Tanks
Scores for Pre-formed Ensembles
Student Compositions for Preformed Student Ensembles
Mini-Call for Panel Discussion at Miami Conference
In reponese to popular demand, we are opening up a “mini-call” for speakers at a short session at the upcoming CMS-ATMI National Conference in Miami, Oct. 26-28, 2023.
The session: “ChatATMI: Recent Membership use of Artificial Intelligence in Music Teaching and Learning”.
If you have a compelling story to tell the membership about your recent use of artificial intelligence, chatbots, large language models, etc., send a 250-word abstract to Brendan McConville (bmcconvi@utk.edu) and Rachel Mann (rachel.mann@utrgv.edu) by Friday, July 15 at 12:00 noon Eastern time.