Híbrides 2026

In this second edition, the biennial proposes classification as its central theme, a concept that carries multiple meanings depending on context. We can approach it from the fields of computer science and data science, from machine learning and the process of assigning objects to pre-existing classes or categories, or by analyzing data to uncover hidden patterns and establish classes within an algorithmic system. We can also ask about the infrastructures and resources required for a classification task to take place: the devices and technologies that enable data collection, the inner workings of classification algorithms, who designs them, under what ethical codes, who selects the classes, and to what end.

The biennial proposes bringing the concept of classification into dialogue with the concepts of “Small Data” and “Embodiment” addressed in our first edition. Drawing on our own research and artistic production experiences, as well as the reflections that emerged from the first edition, we propose the following definitions:

We invite the scientific and artistic communities to reflect on and analyze classification algorithms, data, archives, processes, and other elements, whether physical, digital, or bodily, from different perspectives, in order to rethink and, perhaps, imagine new meanings that redefine why, how, and for what purpose we classify.

The activities of Híbrides: Small Embodied Data will take place at the UOC (Universitat Oberta de Catalunya, Poblenou campus, Barcelona), the Convent de Sant Agustí, and other collaborating venues. For this call for proposals, we are seeking submissions that respond to this framework of thought and practice, in the form of oral presentations and performances.

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