Privacy, big data, and the public good: frameworks for engagement
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 r...
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2014
|
| Links: | https://doi.org/10.1017/CBO9781107590205 |
| Zusammenfassung: | 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. |
| Umfang: | 1 Online-Ressource (xix, 322 Seiten) |
| ISBN: | 9781107590205 |
Internformat
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| spelling | Privacy, big data, and the public good frameworks for engagement edited by Julia Lane [and three others] Privacy, Big Data, & the Public Good Cambridge Cambridge University Press 2014 1 Online-Ressource (xix, 322 Seiten) txt c cr 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. Lane, Julia I. Erscheint auch als Druck-Ausgabe 9781107067356 Erscheint auch als Druck-Ausgabe 9781107637689 |
| spellingShingle | Privacy, big data, and the public good frameworks for engagement |
| title | Privacy, big data, and the public good frameworks for engagement |
| title_alt | Privacy, Big Data, & the Public Good |
| title_auth | Privacy, big data, and the public good frameworks for engagement |
| title_exact_search | Privacy, big data, and the public good frameworks for engagement |
| title_full | Privacy, big data, and the public good frameworks for engagement edited by Julia Lane [and three others] |
| title_fullStr | Privacy, big data, and the public good frameworks for engagement edited by Julia Lane [and three others] |
| title_full_unstemmed | Privacy, big data, and the public good frameworks for engagement edited by Julia Lane [and three others] |
| title_short | Privacy, big data, and the public good |
| title_sort | privacy big data and the public good frameworks for engagement |
| title_sub | frameworks for engagement |
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