Big Data, Consent, and the Future of Data Protection
Files
Description
In addition to co-editing the volume, Professor Mattioli co-authored the "Introduction," pp.xi-xxi, and the "Conclusions," pp.199-211.
Professor Cate authored the first chapter, "Big Data, Consent, and the Future of Data Protection," pp.3-19.
ISBN
9780262035057 (hb), 9780262529488 (pb), 9780262335775 (ebook)
Publication Date
2016
Publisher
MIT Press
City
Cambridge, MA
Keywords
Big Data
Disciplines
Computer Law | Internet Law | Law
Recommended Citation
Mattioli, Michael and Cate, Fred H., "Big Data, Consent, and the Future of Data Protection" (2016). Books & Book Chapters by Maurer Faculty. 158.
https://www.repository.law.indiana.edu/facbooks/158
Comments
Sugimoto, Cassidy R., Hamid R. Ekbia, and Michael Mattioli. Big Data is Not a Monolith. MIT Press, 2016.
Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowledge in favor of a data-driven one. Social media platforms and self-tracking tools change the way we see ourselves and others. The collection of data by corporations and government threatens privacy while promoting transparency. Meanwhile, politicians, policy makers, and ethicists are ill-prepared to deal with big data’s ramifications. The contributors look at big data’s effect on individuals as it exerts social control through monitoring, mining, and manipulation; big data and society, examining both its empowering and its constraining effects; big data and science, considering issues of data governance, provenance, reuse, and trust; and big data and organizations, discussing data responsibility, “data harm,” and decision making.
Full bibliographic details available here.
Copies available in the Jerome Hall Law Library, QA 76.9 .B45 B555
A volume in the MIT Information Policy Series (ed. by Sandra Braman)