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AWEN is a self-guided walk developing a deeply personal encounter with the environment beyond human scale. Interactive art, sound, movement and play are prompted by global climate data and science.

You will be able to start your walk from anywhere in the world. As you move through your surroundings, you will receive poetic and playful prompts to your smartphone.

This is a free pilot experience – help us with leaving feedback after your walk to inform future development.

You can find our more about the layers of the AWEN journey here.

Join us for a live (online) discussion

AWEN: Encountering Climate Emergency

Thursday 1 July: 5:30pm - 6:30pm

Book here

In this online event, you'll have an exclusive first chance to hear from the creators of AWEN. You will meet members of the creative team that has developed this new digital experience for the 2021 Edinburgh Science Festival in response to the climate emergency.

The discussion will explore how AWEN was conceived and created as a call to climate action. Chaired by Amanda Tyndall, Festival and Creative Director for the Edinburgh Science Festival, the panel will include Inés Cámara Leret (Lead Artist), Brendan McCarthy (Interactive Digital Designer, Ray Interactive), Matjaz Vidmar (Experiential AI Research Lead at the Edinburgh Futures Institute) and Daisy Narayanan (Senior Manager for Mobility & Placemaking at City of Edinburgh Council).

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Frequently Asked Questions

AWEN is part of, an Experiential AI research programme. Initiated by Drew Hemment, Chancellor’s Fellow and Reader at The Edinburgh Futures Institute. Developed in collaboration with Edinburgh Science Festival. It has been developed as a research collaboration with the Edinburgh Science Festival by a team of artists, scientists, designers, and AI specialists. They comprise Inés Cámara Leret; Sam Healy and Brendan McCarthy from Ray Interactive; Tom deMajo, Malath Abbas and Susie Buchan from Biome Collective; Amanda Tyndall and Jennifer Rodger-Casebow from Edinburgh Science; Martin Zeilinger from Abertay University; Matjaz Vidmar, Evan Morgan, Aditya Kamireddypalli, Julie Ann Fooshee, William Mackaness, Sophie Mackaness, Kaite Welsh and Janet Archer from The University of Edinburgh.

This project was supported by the Scottish Funding Council Covid-19 Recovery funding to the University of Edinburgh’s Data-Driven Innovation initiative.

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