Temporal Spaces is a multimedia dance installation created by Max Levy and Cosa Mentale, which explores self-witnessing, exploring one’s body through the fragility of space, memory, senselessness, and narrative. Balancing the peace between too much noise and too much silence, this audiovisual experience focuses on the seen, the unseen, the heard, and the lost, guiding one’s curiosity to reveal the nuances of selectivity in: How do we compose ourselves through the preciousness of simplicity and chaos? What do we move, and what moves us? When we begin, how do we begin? Will we find the clarity to stop? And when will we decide to begin anew?
Partnered with an AI-driven body and pattern recognition system, gaps in the infallibility of technology peek through. Inaccuracies and misnomers become part of our scrutiny on perception and exactitude. Sequences emerge as our bodies and actions are recognized and reorganized, our pasts misremembered, replayed, and disintegrated.
As the AI’s ambiguous methods paint a patterned matrix, we wonder if the narratives of our own pasts are any less fabricated. As we reframe our histories with each new experience, are we remembering the right choices? Will we ever remember, or be remembered, for the things that mattered most to us?
Conception: Max Levy, Cosa Mentale (Celia Betourne, Louis Cortes)
Visual Direction: Celia Betourne
Lighting: Louis Cortes
Sound Design: Max Levy
Movement Direction: Max Levy
Texture/Shader: Louis Cortes
Technical Mentorship and Development: Nuno Correia, Andreia Matos, William Primett
Project Management: Kärt Kelder
Photos: Kris Moor
Many thanks to the voice recording contributions of Conrado Cerqueira, Beatriz Domingues, Luca Giovanetti, Triin Kauber, Pol Monsech, Jarmo Reha, Laura Maya Rosiers
Temporal Spaces is developed at Sõltumatu Tantsu Lava as part of the MODINA Residency Network, co-funded by the European Union: https://modina.eu/
Temporal Spaces utilizes the following neural audio synthesis via RAVE: https://github.com/acids-ircam/RAVE and audio samples from Otologic.jp