Reality Mining: Using Big Data to Engineer a Better World

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9780262027687: Reality Mining: Using Big Data to Engineer a Better World
From the Publisher:

Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data -- surveillance, spying, hacking -- has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. 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. Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, 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. 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. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives.

About the Author:

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.

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Eagle, Nathan; Greene, Kate
Editorial: MIT Press Ltd, United States (2014)
ISBN 10: 0262027682 ISBN 13: 9780262027687
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Descripción MIT Press Ltd, United States, 2014. Hardback. Estado de conservación: New. 201 x 142 mm. Language: English . Brand New Book. Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data -- surveillance, spying, hacking -- has made headlines, it shouldn t overshadow the abundant positive applications of Big Data. 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. Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, 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. 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. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives. Nº de ref. de la librería AAU9780262027687

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Eagle, Nathan; Greene, Kate
Editorial: MIT Press Ltd, United States (2014)
ISBN 10: 0262027682 ISBN 13: 9780262027687
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Descripción MIT Press Ltd, United States, 2014. Hardback. Estado de conservación: New. 201 x 142 mm. Language: English . Brand New Book. Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data -- surveillance, spying, hacking -- has made headlines, it shouldn t overshadow the abundant positive applications of Big Data. 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. Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, 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. 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. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives. Nº de ref. de la librería AAU9780262027687

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Eagle, Nathan; Greene, Kate
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Descripción The MIT Press, 2014. Estado de conservación: New. Num Pages: 208 pages. BIC Classification: UNF; UYZF. Category: (P) Professional & Vocational. Dimension: 143 x 204 x 20. Weight in Grams: 352. . 2014. 1st Edition. Hardcover. . . . . . Nº de ref. de la librería V9780262027687

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Eagle, Nathan; Greene, Kate
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Descripción The MIT Press. Estado de conservación: New. Num Pages: 208 pages. BIC Classification: UNF; UYZF. Category: (P) Professional & Vocational. Dimension: 143 x 204 x 20. Weight in Grams: 352. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780262027687

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Eagle, Nathan; Greene, Kate
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Descripción MIT Press Ltd 2014-09-02, Cambridge, Mass., 2014. hardback. Estado de conservación: New. Nº de ref. de la librería 9780262027687

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