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Privacy, Big Data, and the Public Good: Frameworks for Engagement | by Julia Lane | Victoria Stodden | Stefan Bender | ‎ Cambridge University Press | ‎ English | ‎ 1st Edition
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Privacy, Big Data, and the Public Good: Frameworks for Engagement | by Julia Lane | Victoria Stodden | Stefan Bender | ‎ Cambridge University Press | ‎ English | ‎ 1st Edition

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Product Description

About This Book

Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.

About the Author

Privacy, Big Data, and the Public Good: Frameworks for Engagement is authored by Julia Lane | Victoria Stodden | Stefan Bender.

Product description Review "Big data' - the collection, aggregation or federation, and analysis of vast amounts of increasingly granular data - present[s] serious challenges not only to personal privacy but also to the tools we use to protect it. Privacy, Big Data, and the Public Good focuses valuable attention on two of these tools: notice and consent, and de-identification - the process of preventing a person's identity from being linked to specific data. [It] presents a collection of essays from a variety of perspectives, in chapters by some of the heavy hitters in the privacy debate, who make a convincing case that the current framework for dealing with consumer privacy does not adequately address issues posed by big data … As society becomes more 'datafied' - a term coined to describe the digital quantification of our existence - our privacy is ever more at risk, especially if we continue to rely on the tools that we employ today to protect it. [This book] represents a useful and approachable introduction to these important issues.' Science Book Description Data access is essential for serving the public good. This book provides new frameworks to address the resultant privacy issues. About the Author Julia Lane is Senior Managing Economist for the American Institutes for Research in Washington, DC. She holds honorary positions as Professor of Economics at the BETA University of Strasbourg CNRS, chercheur associée at Observatoire des Sciences et des Techniques, Paris, and professor at the University of Melbourne's Institute of Applied Economics and Social Research.Victoria Stodden is Assistant Professor of Statistics at Columbia University and is affiliated with the Columbia University Institute for Data Sciences and Engineering.Stefan Bender is head of the Research Data Center (RDC) at the German Federal Employment Agency in the Institute for Employment Research (IAB).Helen Nissenbaum is Professor of Media, Culture, and Communication and Computer Science at New York University, where she is also director of the Information Law Institute. Read more

Book Highlights

Published by ‎ Cambridge University Press
Language: ‎ English
Publication date: ‎ 9 June 2014
Edition: ‎ 1st
Category: Mathematics > Statistics
Rated 4.0/5 by 4 verified readers
Dimensions: ‎ 16.51 x 2.54 x 24.13 cm
Weight: ‎ 590 g
FREE shipping on all BookShops.in orders
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Book Specifications

ISBN-139781107067356
ISBN-101107067359
Publisher‎ Cambridge University Press
Language‎ English
Dimensions‎ 16.51 x 2.54 x 24.13 cm
Weight‎ 590 g
Country‎ India
CategoryMathematics › Statistics
Customer Rating4.0 / 5 (4 ratings)
authorJulia Lane | Victoria Stodden | Stefan Bender

Frequently Asked Questions

What is 'Privacy, Big Data, and the Public Good' about?
This book examines how researchers can access and use large-scale data for societal benefits—like improving government services—while protecting individual privacy. It covers legal, economic, and statistical approaches to data governance.
Who are the authors of this book?
The book is edited by Julia Lane (economist and data policy expert), Victoria Stodden (scholar in statistical reproducibility), and Stefan Bender (data infrastructure specialist).
Is this book suitable for students?
Yes, it is designed as a higher education textbook for statistics, mathematics, and related fields. Graduate students in data science, policy, and social sciences will find it valuable.
What format is this book available in?
This listing is for the physical hardcover edition. It is a print book, not a digital format.
What key topics does the book cover?
It covers ethical and legal requirements for data access, rules of engagement, mechanisms to compensate for privacy loss, and statistical methods for de-identification and risk management.
Who would benefit from reading this book?
Statisticians, data scientists, policymakers, legal professionals, government officials, and researchers involved in data governance and public policy will find it highly relevant.
Does the book offer practical guidance?
Yes, it presents practical approaches for maximizing data utility while minimizing information risk, including notice and consent processes and de-identification techniques.
What is the ISBN for this book?
The ISBN is 9781107067356.
Is this book part of a series?
No, this is a standalone first edition volume.

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