عرض عادي

The data economy : implications from Singapore / Sree Kumar, Warren B. Chik, See-Kiong Ng and Sin Gee Teo.

بواسطة:المساهم (المساهمين):نوع المادة : نصنصاللغة: الإنجليزية السلاسل:Routledge research in public administration and public policy ; 20الناشر:London ; New York : Routledge, Taylor & Francis Group, 2019وصف:x,116 pages ; 23 cmنوع المحتوى:
  • text
نوع الوسائط:
  • unmediated
نوع الناقل:
  • volume
تدمك:
  • 9781138359574
الموضوع:تصنيف مكتبة الكونجرس:
  • HB143.5 .S74 2019
ملخص:"'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 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. It revolves around a core case study of Singapore's public transport system, using data both from the private company operating the contactless payment system (EZ-Link) and the government agency responsible for public transport infrastructure (LTA). In analysing both the possibilities and the limitations of these datasets, the authors propose policy recommendations both in-terms of uses for large datasets and the legislation necessary to enable these uses while protecting the privacy of users"-- Provided by publisher.
المقتنيات
نوع المادة المكتبة الحالية رقم الطلب رقم النسخة حالة تاريخ الإستحقاق الباركود
كتاب كتاب UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة HB143.5 .S74 2019 (إستعراض الرف(يفتح أدناه)) C.1 Library Use Only | داخل المكتبة فقط 30030000002476
كتاب كتاب UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة HB143.5 .S74 2019 (إستعراض الرف(يفتح أدناه)) C.2 المتاح 30020000208285
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
HB143.5 M567 2002 Applied computational economics and finance / HB143.5 M567 2002 Applied computational economics and finance / HB143.5 .S74 2019 The data economy : implications from Singapore / HB143.5 .S74 2019 The data economy : implications from Singapore / HB144 .B56 1994 Playing fair HB144 .B56 1994 Playing fair HB144 .B56 1994 Playing fair

Includes bibliographical references and index.

"'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 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. It revolves around a core case study of Singapore's public transport system, using data both from the private company operating the contactless payment system (EZ-Link) and the government agency responsible for public transport infrastructure (LTA). In analysing both the possibilities and the limitations of these datasets, the authors propose policy recommendations both in-terms of uses for large datasets and the legislation necessary to enable these uses while protecting the privacy of users"-- Provided by publisher.

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