Privacy Big Data And The Public Good Frameworks For Engagement 1st Edition by Julia Lane,Victoria Stodden,Stefan Bender,Helen Nissenbaum ISBN 1107637686 978-1107637689

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Product details:

ISBN 10: 1107637686

ISBN 13: 978-1107637689 

Author: Julia Lane, Victoria Stodden, Stefan Bender, Helen Nissenbaum 

 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.

Table of contents: 

Part I – Conceptual Framework

1. Monitoring, Datafication, and Consent: Legal Approaches to Privacy in the Big Data Context

2. Big Data’s End Run around Anonymity and Consent

3. The Economics and Behavioral Economics of Privacy

4. Changing the Rules: General Principles for Data Use and Analysis

5. Enabling Reproducibility in Big Data Research: Balancing Confidentiality and Scientific Transparency

Part II – Practical Framework

6. The Value of Big Data for Urban Science

7. Data for the Public Good: Challenges and Barriers in the Context of Cities

8. A European Perspective on Research and Big Data Analysis

9. The New Deal on Data: A Framework for Institutional Controls

10. Engineered Controls for Dealing with Big Data

11. Portable Approaches to Informed Consent and Open Data

Part III – Statistical Framework

12. Extracting Information from Big Data: Issues of Measurement, Inference and Linkage

13. Using Statistics to Protect Privacy

14. Differential Privacy: A Cryptographic Approach to Private Data Analysis

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Tags: Julia Lane, Victoria Stodden, Stefan Bender, Helen Nissenbaum, Privacy Big Data, And The Public Good, Frameworks For Engagement