‘The Fluidity of Data’ explores ideas of big data, network theory, and the gap between computational and algorithmic processes and human thinking and movement. ‘Fluid data’ is explored through 3D rendered wave textures, both as an ocean that we as an audience are submerged in, and as a distant floating object. The transience of these digital objects is considered as Mia inserts herself as a subject, and combines motion capture technologies with dance. These natural human rhythms can therefore align with completely digitally processed and rendered movement, ranging from GIF overlays from archived GeoCities websites from the 1990s, to the different renderings of water within 3D software. Mia’s work therefore questions our human position within this networked condition, and considers whether the human can only ever pass into the virtual as abstracted data.