14 November 2012, 20:00
- Nancy Mauro-Flude
- Jim Bell
- Anne Goldenberg
- Micha Cardenas
- Elise Hardy Clarisse Delatour
- Marie-Lys Trudel
In the context of the 2012 edition of The HTMlles Festival: RISKY BUSINESS and the 0.1 edition of the Pixel Libre Festival, Eastern Bloc, in collaboration with Studio XX and Perte-de-Signal, presents the very first installment of Montreal's newest festival, dedicated to open source and DIY culture.
With performances by: Nancy Mauro-Flude, Jim Bell, Anne Goldenberg and Micha Cardenas
Find Each Other: Local Autonomy Networks
Find Each Other is an experimental movement piece using proximity sensing electronic garments from the Autonets series. Local Autonomy Networks (Autonets) is a line of mesh networked electronic clothing with the goal of building autonomous local networks that don’t rely on corporate infrastructure to function, inspired by community based, anti-racist, prison abolitionist responses to gendered violence. Autonets seeks to respond to the daily risk of violence that continues to increase as capital becomes less stable.
Anne Goldenberg, Elise Hardy Clarisse Delatour and Marie-Lys Trudel
Algorithmies diaphanes / Diaphanous algorithms
A sound and improvisational movement based performance on the origin, substance and legibility of code, Diaphanous algorithms is part of an iterative work attempting to define the relationships between humans and operating systems. Code, as language, connivance, encryption device, or dissemination matter, crosses our everyday and our environments oftentimes in stealthy ways. What is the source of code?
Sensorem Auris is an audio performance based on sonification of data. Using computer based audio synthesis techniques the performance is a live musical improvisation that converts information from various environmental sensors, such as temperature, light, and humidity, into changing audio streams. An experiment that proposes different ways of listening to the world.
Error in Time
Error in Time isn't a performance about identity; it’s about identity theft. Our computers know us more intimately than lovers—but this is a lopsided relationship. Behind their user-friendly facades, what do we know of the operating systems that drive our daily fix? Via performative algorithms and a surreal first person narrative the work touches on subjects from dark matter to rogue bots. Come see what news might a female hacker bring back for the rest of us?