> Exhibition > Models for Environmental Literacy

9th Conference on Computation, Communication, Aesthetics & X

Models for Environmental Literacy

Tivon Rice


University of Washington, Department of Digital Art and Experimental Media, Seattle, USA

Keywords: Artificial Intelligence, Machine Learning, Photogrammetry, Digital Storytelling, Eco-Science, Eco-Philosophy, Eco-Fiction

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Models for Environmental Literacy, 2020. 4K Video, Computer Generated Text, duration: 36’40”.

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Models for Environmental Literacy, 2020. Video still, Chapter 2.

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Models for Environmental Literacy, 2020. Video still, Chapter 3.

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Models for Environmental Literacy is a series of digital animations and A.I. generated narratives that creatively and critically explore the challenges of describing a landscape, an ecosystem, or the specter of environmental collapse through human language. The project further explores how language and vision are impacted by the mediating agency of new technologies. How do we see, feel, imagine, and talk about the environment in this post-digital era, when there are indeed non-human/machine agents similarly trained to perceive “natural” spaces? This project explores these questions, as well as emerging relationships with drone/computer vision and A.I.

Artist Presentation

Complete Documentation



This work was commissioned by FIBER for the 2020 festival and has been made possible with support from the Creative Industry Fund NL, Stroom Den Haag, Google Artists and Machine Intelligence, BioArt Society, and The University of Washington Center for Digital Art and Experimental Media.

Sound by Stelios Manousakis (NL/GR) & Stephanie Pan (NL/US), with voices by Esther Mugambi (AU/NL), Arnout Lems (NL), & Michaela Riener (AT/NL)