Son[i]a #350 Jara Rocha

Possible Bodies questions and problematises the formulation, conception, and rendering of bodies across different 3D technologies such as modelling, tracking and scanning. Their affirmative critical research draws attention to the ways in which these techniques end up implementing and even amplifying a host of prejudices based on race, gender, class, age and ability which, far from being circumstantial, are woven into the actual source code of all sorts of applications. We talk to Femke Snelting about embodiments, optimisation, and 3D disasters, about the possible and the probable, parametric interfaces, and open standards, and about disobedient action research.

Lucía Egaña is an artist, writer, teacher, and anti-racist transfeminist activist. Lucía is a misfit researcher who for years has been implementing protocols designed to self-institute practices and spaces underpinned by a collective approach. Her methodology is undisciplined (or, as she says, subnormal), championing the bizarre, dirty, and marginal as a fertile testing ground for various relational, educational, and/or artistic devices. In this podcast we talk to Lucía Egaña about pedagogical processes, bibliographic dissent, wild writing, and the generative and affirmative potential of rage. We discuss identity politics, single-sex spaces, friendship as an engine for research, and the power of processes organised around informality and affects.

Through a combination of artistic research, detective work, and an almost forensic approach to our own data trail, Joana Moll’s work exposes some of the most pressing issues of our data-driven, data-centric existence. Her research projects, talks, workshops and art pieces slip through the cracks of corporate behemoths to make sense of their polymorphic nature and reveal some of the hidden layers that shape and sustain the hypercapitalist fractal. In this podcast, we talk to Joana Moll about interfaces and their social implications, about technocolonialism, agency, surveillance, exploitation, speculation and, why not, about laughter.

The researcher and lecturer Ramon Amaro introduces the basics of machine learning, its criteria for assigning value, the collision between blackness and the artificial, its flaws, and the problem of impunity that all too often accompanies them. He also calls for a techno-resistance that would require us to sacrifice our current view of the world and of ourselves.