Reality mining : using big data to engineer a better world /

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Bibliographic Details
Author / Creator:Eagle, Nathan, author.
Imprint:Cambridge, Massachusetts : The MIT Press, [2014]
©2014
Description:1 online resource (vi, 199 pages)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11277404
Hidden Bibliographic Details
Other authors / contributors:Greene, Kate, 1979- author.
ISBN:9780262324564
0262324563
9780262324571
0262324571
9780262027687
0262027682
9781322045115
1322045119
Notes:Includes bibliographical references and index.
Print version record.
Summary:In this book, the authors explore the positive potential of big data, showing the ways in which the analysis of big data ("reality mining") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy. They describe reality mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they offer a nontechnical explanation of data collection methods and describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace "knowledge system"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. The authors argue that big data, used respectfully and responsibly, can help people live better, healthier, and happier lives. --
Other form:Print version: Eagle, Nathan. Reality mining 9780262027687