All Data Are Local - Thinking Critically in a Data-Driven Society (Hardcover)

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.

General

Imprint:	MIT Press
Country of origin:	United States
Series:	The MIT Press
Release date:	April 2019
First published:	2019
Authors:	Yanni Alexander Loukissas
Dimensions:	229 x 178 x 22mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	272
ISBN-13:	978-0-262-03966-6
Categories:	Books > Science & Mathematics > Science: general issues > Impact of science & technology on society Books > Computing & IT > Social & legal aspects of computing > Impact of computing & IT on society Books > Computing & IT > Applications of computing > Databases > General
LSN:	0-262-03966-4
Barcode:	9780262039666

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!