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dc.date.accessioned2019-05-28T12:41:10Z
dc.date.available2019-05-28T12:41:10Z
dc.identifier.urihttp://95.216.75.113:8080/xmlui/handle/123456789/16
dc.descriptionBiography: Wendy Hui Kyong Chun is Professor of Modern Culture and Media at Brown University. She has studied both Systems Design Engineering and English Literature, which she combines and mutates in her current work on digital media. She is author of Control and Freedom: Power and Paranoia in the Age of Fiber Optics (MIT, 2006), Programmed Visions: Software and Memory (MIT 2011), and Updating to Remain the Same: Habitual New Media (MIT 2016).. She is co-editor (with Tara McPherson and Patrick Jagoda) of a special issue of American Literature entitled New Media and American Literature, co-editor (with Lynne Joyrich) of a special issue of Camera Obscura entitled Race and/as Technology and co-editor (with Anna Fisher and Thomas Keenan) of New Media, Old Media: A History and Theory Reader, 2nd edition (forthcoming Routledge, 2015). She is a 2016 Guggenheim Fellow, ACLS and American Academy of Berlin Fellow, and she has been a Member of the Institute for Advanced Study (Princeton), a Fellow at the Radcliffe Institute for Advanced Study at Harvard and a Wriston Fellow at Brown. She is also the Velux Visiting Professor of Management, Politics and Philosophy at the Copenhagen Business School; she has been the Wayne Morse Chair for Law and Politics at the University of Oregon, Visiting Professor at Leuphana University (Luneburg, Germany), Visiting Associate Professor in the History of Science Department at Harvard, of which she is currently an Associate.
dc.typePresentation
dc.titleApproximate Repetitions: Latent Big Data
dc.contributor.authorChun, Wendy Hui Kyong
dc.description.abstractDonald Rumsfeld famously quipped, “There are known knowns. These are things we know that we know. There are known unknowns. That is to say, there are things that we know we don't know. But there are also unknown unknowns. There are things we don't know we don't know.” This has become a rallying call of Big Data: a search for all types of unknowns—for things “latent” within various systems. This paper examines the concept of latency and links it to proxies to understand how what is unknowable is nonetheless repeated and remade.


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