re-FLOW is a transmedia long-durational performance conceived by Greek choreographer Chrysanthi Badeka, in which I curated and developed the Sound Design. The project draws inspiration from digital flow charts, such as digital maps showing the flow of asylum seekers to European countries over time. Current technological advances have led to the creation of detailed data visualisation methods and to a continuous, real-time AV documentation of population flows. This has an impact on how we currently perceive and understand the phenomenon of physical mass movement and displacement. People become nodes on flowcharts and their personal trajectories populate complicated statistical analyses accessible to the public. re-FLOW investigates the categorisation process carried out by AIs and offers a non-biinary technological perspective on the migrations issue, in which technology could help humans see through the walls of data that machines usually interpret and display, using AIs as mediators between sensory material, and hoping to achieve a more diverse vision of the flux of asylum seekers around the world. The core of the performance is a Machine Learning system, which attempts to be a gateway to an immersive and interactive digital world, and a mediator between different media such as sound and movement, inviting the audience to a new experience and the performers to a new framework. My involvement in the sound design of this performance allowed a deep experiential investigation my main areas of research such as humans/machine and sound/movement relationships, sound and Artificial Intelligence, current sound design practice in contemporary dance, the artistic connection between Sound Designers / Composers and Choreographer.