The Data Economy: Implications from Singapore (Routledge Research in Public Administration and Public Policy, 20, Band 20) - Hardcover

Buch 20 von 37: Routledge Research in Public Administration and Public Policy

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

 
9781138359574: The Data Economy: Implications from Singapore (Routledge Research in Public Administration and Public Policy, 20, Band 20)

Inhaltsangabe

This book outlines the findings and conclusions of a multi-disciplinary team of data scientists, lawyers and economists tasked with studying both the possibilities of exploiting the rich datasets made available from many human-technology interactions, and the practical and legal limitations in trying to do so.

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Über die Autorin bzw. den Autor

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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Weitere beliebte Ausgaben desselben Titels

9780367606718: The Data Economy: Implications from Singapore (Routledge Research in Public Administration and Public Policy)

Vorgestellte Ausgabe

ISBN 10:  0367606712 ISBN 13:  9780367606718
Verlag: Routledge, 2020
Softcover