Includes bibliographical references and index.

Part I - Conceptual Framework 1. Monitoring, datafication, and consent: legal approaches to privacy in the big data context -- Katherine J. Strandburg 2. Big data's end run around anonymity and consent -- Solon barocas, Helen Nissenbaum 3. The economics and behavioral economics of privacy -- Alessandro Acquisti 4. Changing the rules: general principles for data use and analysis -- Paul Ohm 5. Enabling reproducibility in big data research: balancing confidentiality and scientific transparency -- Victoria Stodden Part II - Practical Framework 6. The value of big data for urban sciense -- Stevem E. Koonin, Michael J. Holland 7. Data for the public good: challenges and barriers in the context of cities -- Robert M. Goerge 8. A European perspective on research and big data analysis -- Peter Elias 9. The new deal on data: A Framework for institutional controls -- Daniel Greenwood, Arkadiusz StopczyNSKI, Brian Sweatt, Thomas Hardjono, Alex Pentland 10. Engineered controls for dealing with big data -- Carl Landwehr 11. Portable approaches to informed consent and open data -- John Wilbanks Part III. Statistical framework 12. Extracting information from big data: Issues of measurement, inference and linkage -- Frauke Kreuter, Roger D. Peng 13. Using statistic to protect privacy -- Alan F. Karr, Jerokme P. Reiter 14. Differential privacy: A cryptographic approach to private data analysis -- Cynthia Dwork