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All Data Are Local - Yanni Loukissas;
Mathematics of Fair Selection Algorithms - Swati Gupta

dc.contributor.authorLoukissas, Yanni
dc.contributor.authorGupta, Swati
dc.date.accessioned2020-09-21T17:03:08Z
dc.date.available2020-09-21T17:03:08Z
dc.date.issued2020-08-27
dc.identifier.urihttp://hdl.handle.net/1853/63720
dc.descriptionPresented online at the Interaction of Privacy and Autonomy in the Digital Age Symposium, August 27, 2020, 1:00 p.m.-2:15 p.m. via the BlueJeans Event platform.en_US
dc.descriptionThe Interaction of Privacy and Autonomy in the Digital Age Symposium ; Session 4.en_US
dc.descriptionThis two day virtual symposium is hosted by the Georgia Tech Library to explore the concept of privacy and its interconnected relationship to autonomy. Privacy researchers and advocates will explore these concepts through the lens of their subject area.en_US
dc.descriptionYanni Loukissas, Ph.D. School of Literature, Media, and Communication, Georgia Institute of Technology.en_US
dc.descriptionSwati Gupta, Ph.D. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology.en_US
dc.descriptionModerated by Ameet Doshi, Director of Innovation and Program Design, and Subject Librarian for the School of Public Policy and Law, Georgia Institute of Technology Library.en_US
dc.descriptionRuntime: 73:38 minutesen_US
dc.description.abstractYanni Loukissas - TITLE: "All Data Are Local". In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States, Loukissas shows us how to analyze data settings rather than data sets.en_US
dc.format.extent73:38 minutes
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesInteraction of Privacy and Autonomy in the Digital Age Symposiumen_US
dc.subjectBiasen_US
dc.subjectDataen_US
dc.subjectEthicsen_US
dc.subjectFairnessen_US
dc.subjectHousingen_US
dc.subjectTrolley problemen_US
dc.subjectVisualizationen_US
dc.titleThe Interaction of Privacy and Autonomy in the Digital Age Symposium - Session 4en_US
dc.titleAll Data Are Local - Yanni Loukissas
dc.titleMathematics of Fair Selection Algorithms - Swati Gupta
dc.typePresentationen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Libraryen_US
dc.contributor.corporatenameGeorgia Institute of Technology. H. Milton Stewart School of Industrial and Systems Engineeringen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Literature, Media, and Communicationen_US


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