Ordia Media e.U.

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.

Sound art is an interdisciplinary practice that treats sound itself as the primary artistic material, often prioritizing listening, space, and context over conventional musical form. It commonly appears as installations, sculptures, site‑specific works, and conceptual pieces presented in galleries, museums, and public spaces rather than on a traditional stage. Rather than focusing on melody, harmony, or beat, sound art emphasizes timbre, texture, perception, and spatialization. Works may use field recordings, environmental sound, feedback, room acoustics, silence, psychoacoustic phenomena, or generative and interactive systems. The listener’s movement, the architecture, and the social environment frequently become integral to the piece, encouraging attentive, situation‑based listening.