Sorted photo prints from Google Image Search by terms in the field of climate change, Networked Images of Climate Change, Potsdam, 2020.
© Birgit Schneider
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A large collection of various images and photographs spread out on the floor.
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Sorted photo prints from Google Image Search by terms in the field of climate change, Networked Images of Climate Change, Potsdam, 2020.
© Birgit Schneider
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Countless climate images are in circulation on the web, such as burning globes, polar bears and photographs of climate impacts worldwide. These images are networked and generate a specific view of climate change.

In their project presentation, media scholar Birgit Schneider and design researcher Paul Heinicker focuse on an intercultural image comparison based on Google Image queries. The core question addressed is the manner in which art historical methods, such as iconography and the concept of visual framing, are transformed when working with computer-generated methods of computer vision and machine learning to analyse image similarities.

 

SPEAKER

Birgit Schneider is a media scholar and visual culture expert. She is professor of knowledge cultures and media environments at the University of Potsdam, Germany. Her research focuses on scientific images, the history and present-day status of data visualizations and especially climate visualizations at the intersection of science, aesthetic and politics. She publishes in the fields of climate discourse, cultural geography, media studies and environmental humanities.

Paul Heinicker is a design researcher investigating discursive design concepts with a focus on the culture and politics of diagrams and data visualisations. His practice covers image-led research as well as written analyses. He is a PhD student at the University of Potsdam at the Institute for Media and Art and has an interdisciplinary background in multimedia technologies (B.Eng.) and interface design (M.A.).

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