All Data Are Local: Thinking Critically in a Data-Driven Society

Available

Description

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.

Product Details

Price
$36.00
Publisher
MIT Press
Publish Date
April 30, 2019
Pages
272
Dimensions
7.3 X 0.9 X 9.1 inches | 1.85 pounds
Language
English
Type
Hardcover
EAN/UPC
9780262039666

Earn by promoting books

Earn money by sharing your favorite books through our Affiliate program.

Become an affiliate

About the Author

Yanni Alexander Loukissas is Assistant Professor of Digital Media in the School of Literature, Media, and Communication at Georgia Institute of Technology. He is the author of Co-Designers: Cultures of Computer Simulation in Architecture.

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