The paper presents two interactive installations that make use of datasets about the University of the Republic of San Marino to increase its visibility through Digital Art and meaning. Vibrancy translates sound in a continuously updated materic flow. Its goal is to show the vivacity of the University, quite isolated and located in an ancient monastery in the inner city of San Marino. This, to tell the restless movement that characterizes the School. Vibrancy’s software detects, processes and translates noises into movement. Metadata Juice explores human relationships mediated by the Internet, representing invisible data and digital relations generated in the virtual webspace. The stream of information comes from the University firewall and its representation is associated with the binary code syntax. Data are translated into a hydraulic circuit, creating simultaneously a connection between analogue and digital realities.

Exploring humanity combining Data Visualization with Digital Art

Gian Andrea Giacobone
Primo
Writing – Original Draft Preparation
;
2020

Abstract

The paper presents two interactive installations that make use of datasets about the University of the Republic of San Marino to increase its visibility through Digital Art and meaning. Vibrancy translates sound in a continuously updated materic flow. Its goal is to show the vivacity of the University, quite isolated and located in an ancient monastery in the inner city of San Marino. This, to tell the restless movement that characterizes the School. Vibrancy’s software detects, processes and translates noises into movement. Metadata Juice explores human relationships mediated by the Internet, representing invisible data and digital relations generated in the virtual webspace. The stream of information comes from the University firewall and its representation is associated with the binary code syntax. Data are translated into a hydraulic circuit, creating simultaneously a connection between analogue and digital realities.
2020
978-84-09-10171-9
Dataset, Digital Art, Dataviz
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2418344
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