Privacy, Big Data, and the Public Good: Frameworks for Engagement
Privacy, Big Data, and the Public Good: Frameworks for Engagement,
Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum (editors),
Cambridge University Press, 2014. ISBN 9781107637689.
On May 1st, 2014, the White House released two landmark reports on Privacy and Big Data. Laws are going to follow. What should they be?
On May 13th, 2014, the European Union’s court of justice upheld a ‘Right to be Forgotten’. Why are so many thoughtful people worried by this?
Big Data can make us safer, richer, smarter. It can also strip us of our privacy without our consent.
This book is your intellectual starter kit for engaging with one of today’s most important issues
For the first time in one place, an accessible summary of the important legal, economic, and statistical thought that frames the many privacy issues associated with the use of big data — along with practical suggestions for protecting privacy and confidentiality that can help to guide practitioners.
“This book has several different perspectives on why Big Data is trampling all over privacy law,
and what we might possibly do about it.” — Ross Anderson, University of Cambridge @rossjanderson
Massive amounts of new data on human beings can now be accessed and analyzed. Much has been made of the many uses of such data for pragmatic purposes, 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 new forms of data to do research that improves the lives of human beings, federal, state and local governments can use data to improve services and reduce taxpayer costs, and public organizations can use information to advocate for public causes.
Much has also been made of the privacy and confidentiality issues associated with access. A survey of statisticians at the 2013 Joint Statistical Meeting found that the majority thought consumers should worry about privacy issues, and that an ethical framework should be in place to guide data scientists. Yet there are many unanswered questions. What are the ethical and legal requirements for scientists and government officials seeking to serve the public good without harming individual citizens? What are the rules of engagement? What are the best ways to provide access while 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 the legal, economic and statistical context necessary to frame the many privacy issues, including the value to the public of data access. The authors also identify core practical approaches that use new technologies to simultaneously maximize the utility of data access while minimizing information risk. As is appropriate for such a new and evolving field, each chapter also identifies important questions that require future research.
The work in this book is also intended to be accessible to an audience broader than the academy. In addition to informing the public, we hope that the book will be useful to people trying to provide data access but protect confidentiality in the roles as data custodians for federal, state and local agencies, or decision makers on institutional review boards.
Downloads (.PDF): Part1-excerpt
The primary sponsor is NYU’s Center for Urban Science and Progress (CUSP). Additional sponsors include the American Statistical Association and its Privacy and Confidentiality subcommittee, as well the Research Data Centre of the German Federal Employment Agency.