
Reality Mining
Using Big Data to Engineer a Better World
MIT Press
Published on 1. August 2014
Book
Hardback
208 pages
978-0-262-02768-7 (ISBN)
Description
In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to 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. Tehy describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built.
More details
Series
Language
English
Place of publication
Cambridge, Mass.
United States
Publishing group
MIT Press Ltd
Target group
US School Grade: College Graduate Student and over
Product notice
sewn/stitched
Paper over boards
With dust jacket
Dimensions
Height: 211 mm
Width: 136 mm
Thickness: 25 mm
Weight
352 gr
ISBN-13
978-0-262-02768-7 (9780262027687)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Book
10/2016
MIT Press
€9.89
Article exhausted; check different version

E-Book
08/2014
MIT Press
€19.49
Available for download
Persons
Nathan Eagle, one of the ¿50 people who will change the world¿ on the 2012 Wired Smart List, is the cofounder and CEO of Jana, a company that helps global brands reach customers in emerging markets via mobile airtime. He holds faculty positions at Harvard and Northeastern Universities. Kate Greene is a freelance science and technology journalist based in San Francisco whose work has appeared in The Economist, Discover, and U.S News & World Report, among other publications.