This paper explores how early locative media art, emerging around the turn of the millennium, functioned as a testing ground at the intersection of newly accessible military technologies like GPS and forward-looking concepts such as ubiquitous computing. Through a comparative analysis of two seminal artworks from 2002, Esther Polak’s Amsterdam RealTime and Ursula Damm’s Memory of Space, it argues that these artistic experiments articulated a set of ‘productive contradictions’ that continue to shape our evolving relationship with urban technologies. Polak’s project stands as a landmark in urban data visualization, revealing the inherent tension between the celebration of free, exploratory movement, conceived as a technologically mediated dérive, and the structuring logic of the database. Damm’s installation, by contrast, marks a radical conceptual shift. Employing a self-organizing neural network, Memory of Space moves beyond representational mapping toward generative interpretation, ceding agency to an algorithmic co-creator while engaging presciently with questions of posthuman aesthetics and machine intelligence. This paper contends that the legacy of this artistic moment extends far beyond historical curiosity, forming instead a critical grammar for interpreting the subsequent informatization of the urban sphere, from surveillance and participatory infrastructures to the emergent agency of intelligent systems embedded in everyday life.

From trace to algorithm: Data shadows and strategic co-optations in early locative art

Berti, Paolo
2025-01-01

Abstract

This paper explores how early locative media art, emerging around the turn of the millennium, functioned as a testing ground at the intersection of newly accessible military technologies like GPS and forward-looking concepts such as ubiquitous computing. Through a comparative analysis of two seminal artworks from 2002, Esther Polak’s Amsterdam RealTime and Ursula Damm’s Memory of Space, it argues that these artistic experiments articulated a set of ‘productive contradictions’ that continue to shape our evolving relationship with urban technologies. Polak’s project stands as a landmark in urban data visualization, revealing the inherent tension between the celebration of free, exploratory movement, conceived as a technologically mediated dérive, and the structuring logic of the database. Damm’s installation, by contrast, marks a radical conceptual shift. Employing a self-organizing neural network, Memory of Space moves beyond representational mapping toward generative interpretation, ceding agency to an algorithmic co-creator while engaging presciently with questions of posthuman aesthetics and machine intelligence. This paper contends that the legacy of this artistic moment extends far beyond historical curiosity, forming instead a critical grammar for interpreting the subsequent informatization of the urban sphere, from surveillance and participatory infrastructures to the emergent agency of intelligent systems embedded in everyday life.
2025
AI, Cultural Heritage, Art and Science
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5105977
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