School
for
Poetic
Computation
Join us for a public talk by the teacher of ,Handmade Datasets,, Aarati Akkapeddi. This talk introduces the concept of small, intentional datasets as an alternative to large-scale AI systems, echoing the class’s focus on care, labor, and ethical data practices. Read more about the class ,here,.
Aarati Akkapeddi is a cross-disciplinary artist, coder, and educator based in Lenapehoking (Brooklyn, NY). They often use personal and institutional archival materials, combining computational and analog techniques like machine learning & printmaking to create artwork that investigates overlooked relationships and histories. Their creative work has been supported by institutions such as The Photographers' Gallery, ETOPIA Center for Art & Technology, and LES Printshop. They work at The Experimental Humanities Collaborative Network, creating digital spaces and tools.
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Applications are not required for workshops. Signups will remain open as long as seats remain. A limited number of scholarship tickets will be released via the SFPC email list two weeks before the date of the intensive.
This class is free / pay-what-you-want through the support of external funding.
At SFPC we believe that no one should be denied an educational opportunity because of their inability to pay. Through the support of funders and community donors, we are able to subsidize tuition-free classes and provide scholarships for participants.
Our scholarships directly redistribute wealth to those who might otherwise be unable to participate in our program. Scholarships are a critical resource on our way towards creating a more comprehensive free or donation-based model in the future.
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