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eBay-Artikelnr.:266792568571
Artikelmerkmale
- Artikelzustand
- Book Title
- All Data Are Local: Thinking Critically in a Data-Driven Society
- Artist
- Loukissas, Yanni Alexander
- ISBN
- 9780262039666
Über dieses Produkt
Product Identifiers
Publisher
MIT Press
ISBN-10
0262039664
ISBN-13
9780262039666
eBay Product ID (ePID)
2309311541
Product Key Features
Number of Pages
272 Pages
Language
English
Publication Name
All Data Are Local : Thinking Critically in a Data-Driven Society
Publication Year
2019
Subject
Media Studies, Social Aspects, Social Aspects / General
Type
Textbook
Subject Area
Computers, Technology & Engineering, Social Science
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
30.5 Oz
Item Length
9.2 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Trade
LCCN
2018-030570
Reviews
This 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 Edition
23
Illustrated
Yes
Dewey Decimal
025.042
Synopsis
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., 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 Number
ZA4065.L68 2019
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