Title

Aire V.3

Interspecifics (CDMX) Mexico

Aire V.3
(2020-2021)

http://int-lab.cc/airev3/

Aire Mexico City
https://vimeo.com/501926477

AIRE Bogota
 https://vimeo.com/515861855

AIRE Sao Paulo
 https://vimeo.com/511826484

Aire V.3 is a machine learning generated audiovisual album driven by patterns found in pollution data levels in different cities around the world: Mexico City, Bogotá, and São Paulo. All data is provided by the Resource Watch predictive system, designed by the World Resource Institute and NASA.

Interspecifics created a series of sounds and visual compositions showing the dynamics of air pollutants in each of these three cities. The first stage of the project consists of an A/V experience in ten-minute segments showing cityscapes made from 3D map elevations and satellite imagery, accompanied by generative sound compositions. Pollutants are analyzed on a saturation scale and assigned a sound identity on their own that responds to the data flow through modulation or control signal. The most relevant and particular patterns detected by our customized machine learning tool are used to trigger and mute the sound events as they occur, establishing the structure of the entire composition.

Aire v.3 was created with support from the air quality department of the World Resource Institute Mexico under the direction of Dr. Beatriz Cárdenas.

Interspecifics

Interspecifics was founded in Mexico City in 2013. Our current lines of research are focused on the use of sound and Artificial Intelligence to understand the bioelectrical and chemical signals of different living organisms and its geometrical patterns as a nonhuman form of communication. For this purpose, we have developed a collection of experimental research and educational tools we call Ontological Machines. Our work is deeply shaped by the Latin American context where precarity enables new forms of creativity and ancient technologies meet cutting edge forms of production. We think about this as a methodology for creation: where one is always looking for the most suitable way to produce in terms of social inclusion, cross-disciplinary practices, and open knowledge.

Interspecifics' core members are Emmanuel Anguiano, Leslie García, Paloma López, and Felipe Rebolledo.

http://interspecifics.cc/work/

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