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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Earth Photo: 2023 (Featuring 'Photographs of British Algae - AI Impressions')

Ames, Craig (2023) Earth Photo: 2023 (Featuring 'Photographs of British Algae - AI Impressions'). Earth Photo: 2023, 18.06.2023 - 21.08.2023, Royal Geographical Society, London.

Item Type: Show/Exhibition

Abstract

"Now more than ever, photography has the power to draw attention to the challenges facing the natural world and our planet.

Established in 2018, Earth Photo is a world leading international programme dedicated to engaging with still and moving image makers, working across all genres, on the prescient issues affecting our planet in order to stimulate conversations about our environment and the impact of climate change.

Developed in partnership by Forestry England, Parker Harris and the Royal Geographical Society (with IBG), Earth Photo organises exhibitions, awards and events that celebrate photography and moving images that tell compelling stories about our planet, its inhabitants, its beauty, resilience and its fragility.

Each year, Earth Photo invites photographers and filmmakers from around the world to enter images and/or short films. With a high-profile jury of industry experts we will be inviting submissions from image makers based worldwide who have a compelling story to share about the environment, about nature, about people, forests, the landscape and the varied impacts of climate change."

https://www.earthphoto.world/

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Image (PNG) (Promo shot for Earth Photo 2023, featuring images from 'Photographs of British Algae - AI Impressions')
Earth Photo 2023 ©Craig Ames.png

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More Information

Depositing User: Craig Ames

Identifiers

Item ID: 17767
URI: http://sure.sunderland.ac.uk/id/eprint/17767

Users with ORCIDS

Catalogue record

Date Deposited: 17 Sep 2024 15:45
Last Modified: 17 Sep 2024 15:45

Contributors

Author: Craig Ames

University Divisions

Faculty of Arts and Creative Industries > School of Art and Design

Subjects

Computing > Artificial Intelligence
Photography > Photography

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