“What if machines” are computational systems designed to analyse future scenarios through the lens of complexity theory, based on mathematics and laws of physics. They represent a method to predict dynamic outcomes, manage intricate patterns, and adapt to evolving variables. By processing vast datasets, these systems foresee potential developments, making informed decisions more achievable. Their predictive power reshapes how we navigate uncertainty and complexity.
Vittorio Loreto, Milena Di Canio, Matteo Bruno
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Sony CSL — Rome
The Weight of Urban Inequalities
2025
Science mediation and video production Hilla Laufer