The Data Economy: Implications from Singapore

Author:   Sree Kumar ,  Warren Chik ,  See-Kiong Ng ,  Sin Gee Teo (Infocomm Research, Singapore)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367606718


Pages:   116
Publication Date:   30 June 2020
Format:   Paperback
Availability:   In Print   Availability explained
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The Data Economy: Implications from Singapore


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Overview

"""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."

Full Product Details

Author:   Sree Kumar ,  Warren Chik ,  See-Kiong Ng ,  Sin Gee Teo (Infocomm Research, Singapore)
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.453kg
ISBN:  

9780367606718


ISBN 10:   0367606712
Pages:   116
Publication Date:   30 June 2020
Audience:   College/higher education ,  Tertiary & Higher Education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Foreword Acknowledgement 1. Introduction 2. An Outline of the Data Economy 3. The Search for Data 4. The Analysis of Data 5. The Legal Contours of the Data Economy 6. Redefining the Data Economy 7. Implications for the Future Selected Bibliography Index

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Author Information

"Sree Kumar is a Director of Sreekumar Siddique & Co., a regional research and consulting firm based in Singapore. At the Lee Kuan Yew Centre for Innovative Cities, he is an Adjunct Senior Fellow. Mr Kumar holds degrees in law, economics, English, management, and engineering from universities in the United Kingdom and Singapore. He has been called to the Bar of England and Wales and has an interest in international tax and investment law. He is a Fellow of the Royal Statistical Society. Warren B. Chik is an Associate Professor in the School of Law at Singapore Management University. He obtained his LLB from National Univeristy of Singapore Law School and his master's degrees from Tulane University and University College London. Associate Professor Chik has been called to the Bar of England and Wales, Singapore, and New York. He currently researches and writes in the areas of information and communications technology and the law, Internet intermediaries, data protection, cybersecurity, and the intersection between intellectual property and information technology law. See-Kiong Ng is a Professor of Practice at the National University of Singapore's School of Computing and Director of Translational Research for the university's Institute of Data Science. He holds a PhD from Carnegie-Mellon University and is a practising data scientist with diverse and cross-disciplinary research interests. From using data mining to unravel the biology of the human body to applying machine learning to understand the ""biology"" of complex human cities, See-Kiong aims to push the boundary of data science through trans-disciplinary upstream research and to create impact by translating research outcomes into real-life applications. Sin Gee Teo is a research scientist at the Institute for Infocomm Research (I2R) in Singapore. He holds a PhD in Computer Science from Monash University, Australia. Before joining I2R, he worked at the Lee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, as a research fellow. His research interests include data privacy, applied cryptography, deep learning, data mining, and cloud computing."

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