9781138359574-1138359572-The Data Economy (Routledge Research in Public Administration and Public Policy)

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

ISBN-13: 9781138359574
ISBN-10: 1138359572
Edition: 1
Author: See-Kiong Ng, Sree Kumar, Warren Chik, Sin Gee Teo
Publication date: 2018
Publisher: Routledge
Format: Hardcover 126 pages
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Book details

ISBN-13: 9781138359574
ISBN-10: 1138359572
Edition: 1
Author: See-Kiong Ng, Sree Kumar, Warren Chik, Sin Gee Teo
Publication date: 2018
Publisher: Routledge
Format: Hardcover 126 pages

Summary

The Data Economy (Routledge Research in Public Administration and Public Policy) (ISBN-13: 9781138359574 and ISBN-10: 1138359572), written by authors See-Kiong Ng, Sree Kumar, Warren Chik, Sin Gee Teo, was published by Routledge in 2018. With an overall rating of 4.0 stars, it's a notable title among other books. You can easily purchase or rent The Data Economy (Routledge Research in Public Administration and Public Policy) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

"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.

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