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A01=See-Kiong Ng
A01=Sin Gee Teo
A01=Sree Kumar
A01=Warren Chik
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Age Group_Uncategorized
Author_See-Kiong Ng
Author_Sin Gee Teo
Author_Sree Kumar
Author_Warren Chik
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Category1=Non-Fiction
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Category=KCP
Category=LNQD
Category=LNR
Category=UBJ
Category=UBL
Category=URD
COP=United Kingdom
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The Data Economy: Implications from Singapore

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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Current price €61.19
Original price €67.99
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A01=See-Kiong NgA01=Sin Gee TeoA01=Sree KumarA01=Warren ChikAge Group_UncategorizedAuthor_See-Kiong NgAuthor_Sin Gee TeoAuthor_Sree KumarAuthor_Warren Chikautomatic-updateCategory1=Non-FictionCategory=JPHCategory=KCPCategory=LNQDCategory=LNRCategory=UBJCategory=UBLCategory=URDCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Temporarily unavailablePrice_€50 to €100PS=Activesoftlaunch

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Product Details
  • Weight: 180g
  • Dimensions: 138 x 216mm
  • Publication Date: 09 Oct 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781138359574

About See-Kiong NgSin Gee TeoSree KumarWarren Chik

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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