Orit Halpern’s Beautiful Data reconstructs the historical coupling of vision, reason, cybernetics, design and governance after 1945. The book does not treat data as a neutral technical resource; it treats data as part of a new perceptual regime. The post-war sciences of communication, cognition, storage and feedback altered not only what could be known, but how observation itself was imagined. Vision ceased to be the property of a single embodied observer and became distributed across diagrams, interfaces, sensors, databases, screens, networks and urban systems. Seeing became infrastructural. The book’s most powerful insight is that contemporary data culture did not appear suddenly with Silicon Valley platforms. It was prepared by cybernetic models of feedback, attention, interactivity, archiving and population management. Halpern traces how mid-twentieth-century experiments in perception, design and cognition generated a world in which space could be imagined as intelligent, interactive and governable through information. Beautiful Data is also a history of time. Data systems change the relation between archive and interface. The archive no longer waits passively as a repository of the past; it becomes active, searchable, predictive and operational. Interfaces do not merely display information; they train attention and organise possible futures. The management of uncertainty becomes a central political technique. In this regime, preemption is not an exception but a mode of governance: the future is acted upon before it arrives, through models, visualisations and risk calculations.
URBANISM MEETS ART