GPS art. Referents of digital artistic practices related to control

Authors

DOI:

https://doi.org/10.5281/zenodo.7656901

Keywords:

Media Art, Digital Art, Control, Data, GPS Art

Abstract

Geographic control systems are one of the most powerful tools of our society. The data they provide offers important information about our movements and our daily habits. The power it provides to the entities that manage to control them has not gone unnoticed in contemporary digital art practices. In our text we analyze the characteristics and context of some of the pioneers.

Author Biography

Paloma G. Díaz, BAU. Design Centre. (UCC-UVic)

Paloma G. Díaz has a PhD in Art History from the University of Barcelona with the thesis: Digital artistic practices and control and surveillance technologies (2001-2010)” and a degree in Audiovisual Communication from the Complutense University of Madrid. She has developed her entire professional career in research and development of multimedia and audiovisual creations in different fields. She collaborates with various Design, Multimedia and Consulting studios. She works as a teacher specializing in New Technologies and New Media Art. She is an associate professor of Fundamentals and Evolution of Multimedia in the Multimedia Degree at the UOC (Open University of Catalonia) and an associate professor of the subject "Audiovisual Culture II" at BAU (Centre Design University of Barcelona). She collaborates at the Escola Massana, and has developed master sessions in various centers. She has attended and participated as a speaker in various conferences and meetings related to technology, creation and privacy. She collaborates with different online publications and has developed the Uncovering Ctrl blog since 2008 (www.uncoveringctrl.com).

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Paloma G. Díaz

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Published

2019-09-30

How to Cite

G. Díaz, P. (2019). GPS art. Referents of digital artistic practices related to control. ASRI. Art and Society. Journal for Research in Arts and Digital Humanities, (17), 154–167. https://doi.org/10.5281/zenodo.7656901

Issue

No. 17 (2019): Images Flow

Section

Artículos

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