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A necessary exploration into the mechanics of data privacy protections within empirical social science research.

The explosion of computational power and data availability has revolutionized empirical social science research, but it has also created unprecedented challenges for protecting the privacy of individuals and businesses. As computational tools make it increasingly possible to breach data anonymity in government surveys by combining the survey data with additional information from external sources, statistical agencies face mounting pressure to develop new privacy protection methods while maintaining data quality essential for research and policymaking. This volume explores how innovations in data privacy protection, including differential privacy and synthetic data methods, affect the conduct of empirical analysis in economics, computer science, and statistics. Contributors explore critical questions about the trade-offs between privacy and data usability: How do new protection methods impact statistical inference and parameter estimation? What standards should data providers adopt? The chapters examine frameworks for characterizing privacy protection, disclosure limitation challenges for survey data, methodological innovations for privacy-preserving statistical analysis, regulatory considerations in modern data governance, and strategies for balancing confidentiality with research access.

This volume provides researchers, statistical agencies, and policymakers with essential guidance for navigating the complex landscape where data protection meets scientific inquiry.

When someone faces a difficult intellectual freedom (IF) issue, they usually don’t have time to wade through dense text to find the answers they need. Designed as a real-world reference, OIF’s Intellectual Freedom Manual provides trusted, comprehensive guidance for every library worker, from the volunteer to the director, in plain language. Whether you’re developing or reviewing policies, on-boarding new staff or trustees, responding to challenges and controversies, or studying librarianship, you’ll find this a vital tool, with features such as

• contributions that center the voices of Black, Indigenous, and other People of Color (BIPOC) and LGBTQIA+ people, who are often targeted by censorship efforts;
• chapters that begin with an overview explaining the big ideas and offering reflection questions;
• an introduction to IF and why it matters, drawing on ALA's core IF documents and supported with adaptable policy worksheets;
• information and best practice guidance on key topics such as access, children and youth, censorship and internet filtering, collection development and management, copyright, meeting rooms and exhibit spaces, library programming, politics and religion, privacy, and visits and requests from law enforcement;
• stories from real people whose lives have been impacted by IF, showing how library policies shape culture, protect staff and users, and affect real people;
• concise breakdowns of IF issues from legal experts, helping you understand the laws and how they apply in real situations;
• practical advice on advocating for IF, getting help when challenges arise, lobbying, and working with your elected officials;
• a thorough index to help you quickly find the information you need; and
• a helpful glossary and selected bibliography of additional resources.

Reimagining transparency and secrecy in the era of digital data

When total data surveillance delimits agency and revelations of political wrongdoing fail to have consequences, is transparency the social panacea liberal democracies purport it to be? This book sets forth the provocative argument that progressive social goals would be better served by a radical form of secrecy, at least while state and corporate forces hold an asymmetrical advantage over the less powerful in data control. Clare Birchall asks: How might transparency actually serve agendas that are far from transparent? Can we imagine a secrecy that could act in the service of, rather than against, a progressive politics? 

To move beyond atomizing calls for privacy and to interrupt the perennial tension between state security and the public’s right to know, Birchall adapts Édouard Glissant’s thinking to propose a digital “right to opacity.” As a crucial element of radical secrecy, she argues, this would eventually give rise to a “postsecret” society, offering an understanding and experience of the political that is free from the false choice between secrecy and transparency. She grounds her arresting story in case studies including the varied presidential styles of George W. Bush, Barack Obama, and Donald Trump; the Snowden revelations; conspiracy theories espoused or endorsed by Trump; WikiLeaks and guerrilla transparency; and the opening of the state through data portals.

Postsecrecy is the necessary condition for imagining, finally, an alternative vision of “the good,” of equality, as neither shaped by neoliberal incarnations of transparency nor undermined by secret state surveillance. Not least, postsecrecy reimagines collective resistance in the era of digital data.

A foundational new collection examining the mechanics of privacy in the digital age.

The falling costs of collecting, storing, and processing data have allowed firms and governments to improve their products and services, but have also created databases with detailed individual-level data that raise privacy concerns. This volume summarizes the research on the economics of privacy and identifies open questions on the value of privacy, the roles of property rights and markets for privacy and data, the relationship between privacy and inequality, and the political economy of privacy regulation.

Several themes emerge across the chapters. One is that it may not be possible to solve privacy concerns by creating a market for the right to privacy, even if property rights are well-defined and transaction costs are low. Another is that it is difficult to measure and value the benefits of privacy, particularly when individuals have an intrinsic preference for privacy. Most previous attempts at valuation have focused only on quantifiable economic outcomes, such as innovation. Finally, defining privacy through an economic lens is challenging. The broader academic and legal literature includes many distinct definitions of privacy, and different definitions may be appropriate in different contexts. The chapters explore a variety of frameworks for examining these questions and provide a range of new perspectives on the role of economics research in understanding the benefits and costs of privacy and of data flows. As the digital economy continues to expand the scope of economic theory and research, The Economics of Privacy provides the most comprehensive survey to date of this field and its next steps.