Conference Theme: "Getting to Grips with Musical Complexity"
This year’s theme encourages submissions addressing large and complex
musical works or insights from diverse digital music collections. We
especially welcome research using innovative computing paradigms (e.g.,
massive parallelism, quantum computing) to tackle challenges in musicology
and music cognition. However, as in previous years, we remain fully open
to any research that advances our understanding of music through
computational approaches.
Topics of interest include, but are not limited to:
Computational modeling of musical history using big data
Theories of musical structure implemented computationally
Computational approaches to the study of music perception and cognition
Automatic music transcription
Computational music analysis
Digital representation of musical information
Development and use of digital corpora for musicological research
Health-related applications of music computing
Computational ethnomusicology
Teaching computational and digital musicology
User experience design for musicological tools
ICCCM stands out for its focus on fundamental research rather than
application-driven perspectives, distinguishing it from conferences like
ISMIR, MCM, or ICMPC. Its small size and informal atmosphere make it
especially welcoming to early-stage researchers, who have been a
significant presence at past editions.