Title:
All Data Are Local: Thinking Critically in a Data-Driven Society
All Data Are Local: Thinking Critically in a Data-Driven Society
| dc.contributor.author | Loukissas, Yanni | |
| dc.contributor.corporatename | Georgia Institute of Technology. GVU Center | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Literature, Media, and Communication | en_US |
| dc.date.accessioned | 2019-10-30T14:48:50Z | |
| dc.date.available | 2019-10-30T14:48:50Z | |
| dc.date.issued | 2019-10-17 | |
| dc.description | Presented on October 17, 2019 at 11:30 a.m. in the Technology Square Research Building, 1st Floor Ballroom. | en_US |
| dc.description | Yanni Alexander Loukissas is an Assistant Professor of Digital Media in the School of Literature, Media, and Communication at Georgia Tech, where he directs the Local Data Design Lab. His research is focused on helping creative people think critically about the social implications of emerging technologies. | en_US |
| dc.description | Runtime: 52:55 minutes | en_US |
| dc.description.abstract | 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—Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow—Loukissas shows us how to analyze data settings rather than data sets. Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogeneous sources; data and algorithms are inextricably entangled; interfaces recontextualize data; and data are indexes to local knowledge. He then provides a set of practical guidelines to follow. To make his argument, Loukissas employs a combination of qualitative research on data cultures and exploratory data visualizations. Rebutting the “myth of digital universalism,” Loukissas reminds us of the meaning-making power of the local. | en_US |
| dc.format.extent | 52:55 minutes | |
| dc.identifier.uri | http://hdl.handle.net/1853/62005 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | GVU Brown Bag | |
| dc.subject | Data visualization | en_US |
| dc.subject | Situated knowledge | en_US |
| dc.title | All Data Are Local: Thinking Critically in a Data-Driven Society | en_US |
| dc.type | Moving Image | |
| dc.type.genre | Lecture | |
| dspace.entity.type | Publication | |
| local.contributor.author | Loukissas, Yanni | |
| local.contributor.corporatename | GVU Center | |
| local.relation.ispartofseries | GVU Brown Bag Seminars | |
| relation.isAuthorOfPublication | 49bb5be3-1fdf-4957-ae2d-6e48194f2d86 | |
| relation.isOrgUnitOfPublication | d5666874-cf8d-45f6-8017-3781c955500f | |
| relation.isSeriesOfPublication | 34739bfe-749f-4bc5-a716-21883cd1bbd0 |
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