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All Data Are Local : Thinking Critically in a Data-Driven Society by Yanni Alexander Loukissas (2019, Hardcover)
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ALL DATA ARE LOCAL: THINKING CRITICALLY IN A DATA-DRIVEN SOCIETY (THE MIT PRESS) By Yanni Alexander Loukissas - Hardcover **BRAND NEW**.
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About this product
Product Identifiers
PublisherMIT Press
ISBN-100262039664
ISBN-139780262039666
eBay Product ID (ePID)2309311541
Product Key Features
Number of Pages272 Pages
LanguageEnglish
Publication NameAll Data Are Local : Thinking Critically in a Data-Driven Society
Publication Year2019
SubjectMedia Studies, Social Aspects, Social Aspects / General
TypeTextbook
Subject AreaComputers, Technology & Engineering, Social Science
AuthorYanni Alexander Loukissas
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight30.5 Oz
Item Length9.2 in
Item Width7.3 in
Additional Product Features
Intended AudienceTrade
LCCN2018-030570
ReviewsThis is a very interesting and, I think, an important book, which everyone involved in data science should read. It is not a text book, but certainly could be an item of additional reading in any data science course.-- Information Research --
Dewey Edition23
IllustratedYes
Dewey Decimal025.042
SynopsisHow to analyze data settings rather than data sets, acknowledging the meaning-making power of the 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--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., How to analyze data settings rather than data sets, acknowledging the meaning-making power of the 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-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.
LC Classification NumberZA4065.L68 2019
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