Workshop Rationale

The intersection of music, mathematics, and language is a fascinating and complex area of research that has the potential to yield significant insights and breakthroughs. Corpus methods and data-driven approaches are particularly well-suited to this area of research because, by analyzing large corpora of musical and linguistic data, researchers can identify patterns and connections that would be difficult or impossible to detect through other methods. Additionally, data-driven approaches allow researchers to test hypotheses and develop new insights in a rigorous and systematic manner. The workshop would bring together researchers from a variety of disciplines, including musicology, linguistics, and mathematics, to explore the intersections between these fields. By bringing together researchers from a variety of disciplines and exploring the latest research in this area, the workshop will help to catalyze new research and collaborations, leading to a deeper understanding of the connections between music, mathematics, and language.

 Speakers 

• David Temperley (Eastman School of Music, University of Rochester) - Keynote speaker

• May Pik Yu Chan (University of Pennsylvnia)

• John Paul Ito (Carnegie Mellon University)

• Jae-Hun Jung (Pohang University of Science and Technology (POSTECH))

• Andrew Killick (Sheffield University)

• Myung Ock Kim (Korea Institute for Advanced Study) 

• Eon-Suk Ko (Chosun University) 

• Ji Chul Kim (University of Connecticut; Oscillo Biosciences)

• Kyogu Lee (Seoul National University; Supertone)

• Juhan Nam (KAIST)

• Kyung Myun Lee (Korea Advanced Institute of Science & Technology (KAIST))

• Jon Prince (Murdoch University) 

• Sam Passmore (The Australian National University)

• Patrick C. M. Wong (The Chinese University of Hong Kong)