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63 FIFTH AVENUE,
NY NY 10003

Funded by a grant from the Andrew W. Mellon Foundation, The Graduate Institute for Design, Ethnography & Social Thought at the New School incubates advanced transdisciplinary research and practice at the intersection of social theory and design and fosters dialogue on related themes across the university.

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Shabtai Pinchevsky

Shabtai Pinchevsky is a photographer and digital media artist working at the intersection of architecture, archives, technology, and politics. In his works, he uses 3D modeling, mapping, internet-based tools, and more to examine archival photographic materials and their relations to geographies of conflict and displacement, especially in Palestine. His practice is engaged with issues of social justice and human rights, and their application in art and media. 

 

Shabtai Pinchevsky is a photographer and digital media artist working at the intersection of architecture, archives, technology, and politics. In his works, he uses 3D modeling, mapping, internet-based tools, and more to examine archival photographic materials and their relations to geographies of conflict and displacement, especially in Palestine. His practice is engaged with issues of social justice and human rights, and their application in art and media. 

Pinchevsky’s works have been showcased in exhibitions at the Tel Aviv Museum of Art, the Israel Museum, Jerusalem, Singapore Art Museum, Hyde Park Art Center, Chicago, and Open Eye Gallery, Liverpool, among others. Pinchevsky has an MFA in Studio Arts from Northwestern University and a BFA in Photography from the Bezalel Academy of Arts & Design. He’s an Assistant Professor of Photography at Parsons School of Design, The New School, NY.

Can a Self-Driving Car Navigate an Apartheid Road? is a video essay and installation that explores the employment of photographic media in systems of algorithmic governance, specifically in self-driving cars navigating the segregational Israeli road system in Palestine. As machine learning systems are increasingly trained using biased, contradicted, and limited data, this project asks how the knowledge produced by such systems represents the intricate relationship between technology, mobility, and politics. The project will be developed into a multi-channel video installation, reconstructing the autonomous car’s perspective as an ‘Archive on Wheels,’ for an immersive experience of moving images and ambient sounds.