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Data Materiality Episode 6: Aylish Wood on Animation and the Materialities of Generative Algorithms

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Manage episode 449616319 series 3290882
Contenu fourni par Vasari Research Centre for Art and Technology and Vasari Research Centre for Art. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Vasari Research Centre for Art and Technology and Vasari Research Centre for Art ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
In this episode we speak with Aylish Wood, Professor Emerita in Animation and Film Studies at the University of Kent. Aylish is a pioneering figure in the study of digital animation and 3D imaging software. She is the author of Software, Animation and the Moving Image: What’s in the Box?, a study of how animation and visualization artists enter into complex negotiations with software packages like Autodesk Maya. Aylish’s work attempts to get behind the surface of digital animation and considers the “performative materiality” of the generative algorithms used to create digital visual culture. The interview for this episode was recorded in August 2021. Music from filmmusic.io "Clean Soul" by Kevin MacLeod (incompetech.com) License: CC BY (creativecommons.org/licenses/by/4.0/) About the podcast: Data Materiality is a podcast series about the ways in which digital data depends on physical forms and infrastructures, and comes to matter in practice and imagination. The impetus for this podcast is a three-year research project by the same name – Data Materiality – co-sponsored by Birkbeck’s Centre for Interdisciplinary Research in Media and Culture and the Vasari Centre for Art and Technology. The series is co-hosted by Joel McKim and Scott Rodgers. For more information: www.bbk.ac.uk/vasari To listen or subscribe via Apple Podcasts, visit: podcasts.apple.com/gb/podcast/vasa…gy/id1494065021 To listen or subscribe via Spotify, visit: open.spotify.com/show/6JnV9RJc4QS50kMDKBBFHm
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7 episodes

Artwork
iconPartager
 
Manage episode 449616319 series 3290882
Contenu fourni par Vasari Research Centre for Art and Technology and Vasari Research Centre for Art. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Vasari Research Centre for Art and Technology and Vasari Research Centre for Art ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
In this episode we speak with Aylish Wood, Professor Emerita in Animation and Film Studies at the University of Kent. Aylish is a pioneering figure in the study of digital animation and 3D imaging software. She is the author of Software, Animation and the Moving Image: What’s in the Box?, a study of how animation and visualization artists enter into complex negotiations with software packages like Autodesk Maya. Aylish’s work attempts to get behind the surface of digital animation and considers the “performative materiality” of the generative algorithms used to create digital visual culture. The interview for this episode was recorded in August 2021. Music from filmmusic.io "Clean Soul" by Kevin MacLeod (incompetech.com) License: CC BY (creativecommons.org/licenses/by/4.0/) About the podcast: Data Materiality is a podcast series about the ways in which digital data depends on physical forms and infrastructures, and comes to matter in practice and imagination. The impetus for this podcast is a three-year research project by the same name – Data Materiality – co-sponsored by Birkbeck’s Centre for Interdisciplinary Research in Media and Culture and the Vasari Centre for Art and Technology. The series is co-hosted by Joel McKim and Scott Rodgers. For more information: www.bbk.ac.uk/vasari To listen or subscribe via Apple Podcasts, visit: podcasts.apple.com/gb/podcast/vasa…gy/id1494065021 To listen or subscribe via Spotify, visit: open.spotify.com/show/6JnV9RJc4QS50kMDKBBFHm
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7 episodes

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