Data Economy

Name: Data Economy
Brand: Taylor & Francis Ltd
SKU: 9780367606718
Price: 34.67 EUR
Availability: InStock

Автор: Sree Kumar, Warren B. (Singapore Management University) Chik, See-Kiong (National University of Singapore) Ng, Teo, Sin Gee (Infocomm Research, Singapore)

Език:

Корици: С меки корици

Издател: Taylor & Francis Ltd

Наличност: Външен склад

Изпращаме след 9-15 дни

34.67 € 67.81 лв

"The data economy" is a term used by many, but properly understood by few. Even more so the concept...

Информация за книгата

Автор

Sree Kumar, Warren B. (Singapore Management University) Chik, See-Kiong (National University of Singapore) Ng, Teo, Sin Gee (Infocomm Research, Singapore)

Език

Английски език

Корици

Книга - С меки корици

Издадена

2020

страници

116

EAN

9780367606718

ISBN

0367606712

Enbook ID

32905338

Издател

Taylor & Francis Ltd

Теглоt

240

Размери

138 x 216

Пълно описание

"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 humantechnology interactions and the practical and legal limitations of trying to do so. It revolves around a core case study of Singapores 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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