Privacy, big data, and the public good :  frameworks for engagement / 
Edição por Julia Lane... [et al.]. -- 
 - New york:  Cambridge University Press,  2014. 
 - xix, 322 p. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/> 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 
<br/><br/><label>ISBN: </label>9781107637689 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bem Comum<br/>Direito à Privacidade<br/> Pesquisa<br/>INOVAÇÕES TECNOLÓGICAS (ASPECTOS SOCIAIS)