Name: The Data Economy (Routledge Research in Public Administration and Public Policy) (en Inglés)
Price: 32700.00 CLP
Availability: InStock
Author: Sree Kumar; Warren Chik; See-Kiong Ng; Sin Gee Teo
ISBN: 9780367606718

portada The Data Economy (Routledge Research in Public Administration and Public Policy) (en Inglés)

Formato

Libro Físico

Editorial

Routledge

Autor

Sree Kumar; Warren Chik; See-Kiong Ng; Sin Gee Teo

Idioma

Inglés

N° páginas

116

Encuadernación

Tapa Blanda

ISBN13

9780367606718

N° edición

The Data Economy (Routledge Research in Public Administration and Public Policy) (en Inglés)

Sree Kumar; Warren Chik; See-Kiong Ng; Sin Gee Teo (Autor) · Routledge · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "The Data Economy (Routledge Research in Public Administration and Public Policy) (en Inglés)"

"The data economy" is a term used by many, but properly understood by few. Even more so the concept of "big data". Both terms embody the notion of a digital world in which many transactions and data flows animate a virtual space. This is the unseen world in which technology has become the master, with the hand of the human less visible. In fact, however, it is human interaction in and around technology that makes data so pervasive and important - the ability of the human mind to extract, manipulate and shape data that gives meaning to it. This book outlines the findings and conclusions of a multidisciplinary team of data scientists, lawyers, and economists tasked with studying both the possibilities of exploiting the rich data sets made available from many human-technology interactions and the practical and legal limitations of trying to do so. It revolves around a core case study of Singapore's public transport system, using data from both the private company operating the contactless payment system (EZ-Link) and the government agency responsible for public transport infrastructure (Land Transport Authority). In analysing both the possibilities and the limitations of these data sets, the authors propose policy recommendations in terms of both the uses of large data sets and the legislation necessary to enable these uses while protecting the privacy of users.