We live among systems that continuously collect, classify, predict, and narrate the world around us. Data-driven models decide what we see, predict what we might do, and shape how institutions respond to us. These systems often present themselves as objective, efficient, and inevitable, while hiding the values, assumptions, omissions, and power relations embedded in their design. Models do not simply describe the world: they help produce it.

Data Stories is a one-month full-time program exploring data and AI as materials, tools, and prosthetics for investigative storytelling, artistic research, and public exhibition. Inspired by whistleblowing and citizen-led investigation, and drawing on themes from data feminism, cyborg theory, and eco-feminist thought, the course combines technical workshops, critical discussions, guest sessions, peer exchange, and project development for a final group exhibition.