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The Cambridge Handbook of Consumer Privacy
Businesses are rushing to collect personal data to fuel surging demand. Data enthusiasts claim personal information that's obtained from the commercial internet, including mobile platforms, social networks, cloud computing, and connected devices, will unlock path-breaking innovation, including advanced data security. By contrast, regulators and activists contend that corporate data practices too often disempower consumers by creating privacy harms and related problems. As the Internet of Things matures and facial recognition, predictive analytics, big data, and wearable tracking grow in power, scale, and scope, a controversial ecosystem will exacerbate the acrimony over commercial data capture and analysis. The only productive way forward is to get a grip on the key problems right now and change the conversation. That's exactly what Jules Polonetsky, Omer Tene, and Evan Selinger do. They bring together diverse views from leading academics, business leaders, and policymakers to discuss the opportunities and challenges of the new data economy.
Book of Anonymity
None
Big Data Analytics Strategies for the Smart Grid
A comprehensive data analytics program is the only way utilities will be able to meet the challenges of modern grids with operational efficiency, while reconciling the demands of greenhouse gas legislation, and establishing a meaningful return on investment from smart grid deployments. This book addresses the requirements for applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid.
The Big Data Agenda
This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.
Harvard Law Review
The Harvard Law Review is offered in a digital edition, featuring active Contents, linked notes, and proper ebook formatting. The contents of Issue 7 include a Symposium on privacy and several contributions from leading legal scholars: Article, "Agency Self-Insulation Under Presidential Review," by Jennifer Nou Commentary, "The Office of Information and Regulatory Affairs: Myths and Realities," by Cass R. Sunstein SYMPOSIUM: PRIVACY AND TECHNOLOGY "Introduction: Privacy Self-Management and the Consent Dilemma," by Daniel J. Solove "What Privacy Is For," by Julie E. Cohen "The Dangers of Surveillance," by Neil M. Richards "The EU-U.S. Privacy Collision: A Turn to Institutions and Procedures,"...
Between Truth and Power
This work explores the relationships between legal institutions and political and economic transformation. It argues that as law is enlisted to help produce the profound economic and sociotechnical shifts that have accompanied the emergence of the informational economy, it is changing in fundamental ways.
Privacy, Big Data, and the Public Good
Data access is essential for serving the public good. This book provides new frameworks to address the resultant privacy issues.
We Are Data
"Algorithms are everywhere, organizing the near-limitless data that exists in our world. Drawing on our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us, and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world but also determine who we are and who we can be. Algorithms use our data to assign our gender, race, sexuality, and citizenship status. In this era of ubiquitous surveillance, contemporary data collection entails more than gathering information about us. Entities like Google, Facebook, and the NSA also decide what that information means, constructing our worlds and the identities we inhabit in the process. We have little control over who we algorithmically are. Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities. We Are Data will educate and inspire readers who want to wrest back some freedom in our increasingly surveilled and algorithmically constructed world."--Page 4 of cover
