School
for
Poetic
Computation
How can code and automation help us see and manipulate large collections of videos in new ways? What do novel approaches in machine learning help make evident? On the flip side, what do these same approaches prevent us from seeing? What do they obscure? How can automated "content generation" be leveraged for political, poetic, and critical ends? In this experimental video art class students will explore the possibilities (and limitations) of using Python, command line tools, and machine learning models as a means to critically analyze, filter, sort, edit, and compose video. We will look at historic and contemporary examples of artists and activists working with video archives, with a focus on the political dimensions of experimental filmmaking. Students may bring their own video archives to work with, or use material we collect online. The class will conclude with a public screening of student work.
This class may be for you if:
Sam Lavigne is an artist and educator whose work deals with data, surveillance, cops, natural language processing, and automation. He has exhibited work at Lincoln Center, SFMOMA, Pioneer Works, DIS, Ars Electronica, The New Museum, the Smithsonian American Art Museum, and his work has been covered in the New Yorker, the Washington Post, the Guardian, Motherboard, Wired, the Atlantic, Forbes, NPR, the San Francisco Chronicle, the World Almanac, the Ellen Degeneres Show and elsewhere.
He has taught at ITP/NYU, The New School, and the School for Poetic Computation, and was formerly Magic Grant fellow at the Brown Institute at Columbia University, and Special Projects editor at the New Inquiry Magazine. He is currently an Assistant Professor in the Department of Design at UT Austin.
he/him
· website
· twitter
· instagram
Ilona is an artist, extrovert, teacher and technologist who sees their work as love notes to themself, the world, and others. They work across mediums using music, poetry, code, drawing, and their jewish practice as tools of expression both publicly and privately. These days they are particularly interested in trans narratives of liberation, judaism as a site of ritual, visibility on and offline, and how we present ourselves and our work to the world.
he/they
· instagram
Jonathan W. Y. Gray (jwyg) is Director of the Centre for Digital Culture and Senior Lecturer in Critical Infrastructure Studies at the Department of Digital Humanities, King’s College London; Cofounder of the Public Data Lab; and Research Associate at the Digital Methods Initiative (University of Amsterdam) and the médialab (Sciences Po, Paris). His research explores the role of digital data, methods and infrastructures in the “composition of collective life”. More about his work can be found at ,jonathangray.org, and at @jwyg.
he/him
· website
· twitter
· instagram
Applications open until Applications closed on August 11, 2023.
You can expect to hear back from us about the status of your application on August 25, 2023. Please email us at admissions@sfpc.study with any questions you have.
For 10 classes, it costs $1200 + processing fees, for a one-time payment. We also offer payment plans. Participants can schedule weekly or monthly payments of the same amount. First and last payments must be made before the start and end of class. *Processing fees apply for each payment.
SFPC processes all payments via Withfriends and Stripe. Please email admissions@sfpc.study if these payment options don't work for you.
For more information about what we look for in applicants, scholarships, and other frequently asked questions, please visit our applicant FAQ.
Interested in more learning opportunities at the School for Poetic Computation? Join our newsletter to stay up to date on future sessions and events, and follow us on Instagram and Twitter. Support our programming through scholarships. Get in touch over email.