::: HÍBRIDES: SMALL EMBODIED DATA : : : 28, 29, 30 November ::: HÍBRIDES: SMALL EMBODIED DATA : : : 28, 29, 30 November ::: HÍBRIDES: SMALL EMBODIED DATA : : : 28, 29, 30 November ::: HÍBRIDES: SMALL EMBODIED DATA : : : 28, 29, 30 November




Discussion Panel
Taller Estampa & Sofía Trejo

Discussion Panel November 29th | 17:00 Hrs.
UOC, Campus Poblenou 🔗 Free Registration
About the activity:
This panel reflects on small data, its possible definitions and derived consequences form scientific and artistic perspectives. Can small datasets offer a way out from statistical homogenization? Do they open creative pathways for exploration? Can small data provide an alternative perspective for designing learning algorithms? What tensions arise between humans and algorithms in these experiments?
Moderated by Iván Paz.
About the participants:
Estampa is an artistic collective of programmers, filmmakers, and researchers based in Barcelona. Their practice is grounded in a critical and archaeological approach to audiovisual and digital technologies, with a particular interest in archiving and experimental audiovisuals. Since 2017, one of their main lines of work has been the investigation of the uses and ideologies of AI. This interest began with the programmatically titled project El mal alumno: Pedagogía crítica para inteligencias artificiales, followed by numerous investigations, publications, installations, performances, and audiovisual works that can be consulted on the collective's website: tallerestampa.com.
Sofía Trejo. Mexican researcher working at the Barcelona Supercomputing Center, specializing in the ethical, social, political, and cultural aspects of artificial intelligence (AI). Her work focuses on central themes such as feminism, the Global South, and the incorporation of critical reflection on technology both within and outside academic spaces. She holds a Bachelor’s degree in Mathematics from the National Autonomous University of Mexico (UNAM) and a PhD in Mathematics from the University of Warwick. She has been a postdoctoral researcher at the University of São Paulo and Imperial College London. She has designed curricula, courses, workshops, and seminars on AI and Data Science for various institutions and cultural centers in Mexico and internationally. She actively participates in science communication and public debate on AI from a critical perspective. She has collaborated on various initiatives related to public policy and technology, including her role as co-leader of the Mexican National AI Agenda and as a member of the Consultative Council of Mexico's Federal Institute of Telecommunications (IFT).
estampa sofia





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