Researches

Computational musicology applies computational methods—such as machine learning, statistical modeling, and data mining—to analyze musical corpora. This interdisciplinary field bridges computer science and musicology, enabling researchers to discover patterns, trace stylistic evolution, and quantify musical features at scales beyond human perception.

Cultural evolution studies how cultural traits—such as musical styles, genres, and practices—change over time through processes of transmission, variation, and selection. Drawing on evolutionary biology, anthropology, and cognitive science, this field examines how music spreads across populations, adapts to new contexts, and gives rise to the rich diversity of musical traditions we observe today.

Digital humanities combines computational methods with traditional humanities scholarship to analyze, interpret, and visualize cultural materials. This interdisciplinary field encompasses text analysis, data mining, network analysis, geospatial mapping, and more. In musicology, digital humanities approaches enable large-scale corpus studies, interactive visualizations, and the creation of sustainable digital editions that make historical sources accessible to researchers and the public alike.

Music theory investigates the fundamental structures, systems, and conventions that govern music. From harmony and counterpoint to form and notation, this field provides the analytical framework for understanding how music is composed, performed, and perceived.