DISFORMATION

Data sonification is a practice and genre in which numerical or categorical datasets are mapped to sound so that patterns in the data are perceived as musical structure. It differs from simple parameter automation by letting the data itself determine pitch, rhythm, dynamics, timbre, and spatial behavior through clearly defined mappings. Works range from direct audification of scientific signals (e.g., seismic or astronomical measurements) to carefully designed parameter mappings and model-based approaches that translate complex, multivariate datasets into layered sonic textures. Because it sits at the intersection of art, science, and design, data sonification is used both for aesthetic expression and for communicating or revealing structure in data that might be hard to see visually.

Electronic is a broad umbrella genre defined by the primary use of electronically generated or electronically processed sound. It encompasses music made with synthesizers, drum machines, samplers, computers, and studio/tape techniques, as well as electroacoustic manipulation of recorded or synthetic sources. The genre ranges from academic and experimental traditions to popular and dance-oriented forms. While its sonic palette is rooted in electricity and circuitry, its aesthetics span minimal and textural explorations, structured song forms, and beat-driven club permutations. Electronic emphasizes sound design, timbre, and studio-as-instrument practices as much as melody and harmony.