Framing Visual Musicology through Methodology Transfer
It addresses the problem of advancing musicological research through interdisciplinary collaboration, but is incremental as it builds on existing methods.
The paper frames the field of Visual Musicology by providing an overview of musicological sub-domains and tasks, and argues that methodology transfer from other fields can solve current problems, with examples from text, geospatial, and time-series analytics.
In this position paper, we frame the field of Visual Musicology by providing an overview of well-established musicological sub-domains and their corresponding analytic and visualization tasks. To foster collaborative, interdisciplinary research, we discuss relevant data and domain characteristics. We give a description of the problem space, as well as the design space of musicology and discuss how existing problem-design mappings or solutions from other fields can be transferred to musicology. We argue that, through methodology transfer, established methods can be exploited to solve current musicological problems and show exemplary mappings from analytics fields related to text, geospatial, time-series, and other high-dimensional data to musicology. Finally, we point out open challenges, discuss research gaps, and highlight future research opportunities.