Ben Bogart

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ISEA Bio(s) Available:


  • ISEA2020

    Ben Bogart is a nonbinary adisciplinary artist working for nearly two decades with generative computational processes (including physical modelling, chaotic equations, feedback systems, evolutionary algorithms, computer vision and machine learning) and has been inspired by knowledge in the natural sciences (quantum physics and cognitive neuroscience) in the service of an epistemological inquiry. Ben has produced processes, artifacts, texts, images and performances that have been presented at galleries, art festivals and academic conferences in Canada, the United States of America, the United Arab Emirates, Australia, Turkey, Finland, Germany, Ireland, Brazil, Hong Kong, Norway and Spain.

    Notable exhibitions include solo shows at the Canadian Embassy at Transmediale in 2017 and the TechLab at the Surrey Art Gallery in 2018. They have been an artist in residence at the Banff Centre (Canada), the New Forms Festival (Canada) and at Videotage (Hong Kong). Their research and practice have been funded by the Social Science and Humanities Research Council of Canada, the British Columbia Arts Council and the Canada Council for the Arts. Ben holds both master’s and doctorate degrees from the School of Interactive Arts and Technology at Simon Fraser University (Vancouver, Canada). During their master’s study (2006–2008) they began an artistic inquiry of machine learning and developed a site-specific artwork that uses images captured live in the context of installation as raw material in its ‘creative’ process.

    In their doctoral work (2009–2014) they made “a machine that dreams” that is framed as both a model of dreaming and a site-specific artistic work manifesting an Integrative Theory of visual mentation developed during their doctorate. Ben’s recent work involves building Machine Subjects that appropriate and reconstruct cultural artifacts using artificial intelligence. Ben is currently embarking on a two year project funded by the Canada Council for the Arts developing a body of work applying machine learning methods to image-making situated in painting history.

    ISEA2014

    Ben Bogart (Canada) is an interdisciplinary artist working with generative computational processes (including physical modelling, chaotic equations, feedback systems, evolutionary algorithms, computer vision and machine learning) and has been inspired by knowledge in the natural sciences (quantum physics and cognitive neuroscience) in the service of an epistemological inquiry.

    ISEA2011

    Ben Bogart is an artist working in installation, audio-visual improvisation and software development. Their installations create content live in response to their sensed environment. They work in an Open Source context and makes all the software they develops, that is of general use, available under the GPL. Physical modelling, chaos, feedback systems, evolutionary algorithms and artificial intelligence have been used to inform and engage in their creative process. Ben holds a Masters of Science in Interactive Arts and Technology from Simon Fraser University. Their current work deals with computational implementations of embodied creativity, memory and dreaming.

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  • Canada

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