September 06, 2010
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Self-Tracking (MIT Press Essential Knowledge series)
Free Download Self-Tracking (MIT Press Essential Knowledge series)
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About the Author
Gina Neff is Associate Professor of Communication and Sociology and a senior data scientist at the University of Washington. She is the author of Venture Labor: Work and the Burden of Risk in Innovative Industries (MIT Press).
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Product details
Series: MIT Press Essential Knowledge series
Paperback: 246 pages
Publisher: MIT Press; 1 edition (June 24, 2016)
Language: English
ISBN-10: 9780262529129
ISBN-13: 978-0262529129
ASIN: 0262529122
Product Dimensions:
5 x 0.6 x 7 inches
Shipping Weight: 6.4 ounces (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
4 customer reviews
Amazon Best Sellers Rank:
#378,625 in Books (See Top 100 in Books)
I generally like the MIT Essential Knowledge Books. They are usually solid fours. A good way to get an entry point into an important subject, from Auctions to Metadata. They don't go deep or ask new questions, though the best do surface controversies. This book is different. It is a solid five star book, one that I am recommending widely. The authors are a sociologist and an ethnographer. They bring lenes to self tracking and the quantified self that books from the medical, business or technology business miss. The class dimensions to the types of app, data models, normalization and market positioning are an example. They also look out to the art world to include the works of artists who use self tracking as inputs or even to structure the form of their work. Self tracking is an important part of my own work, though I do not pay much attention to the normal obsessions. I am interested in tracking my reading, my responses to what I read, the larger patterns in my reading and how these influence my own thinking and choices. Self tracking is an even bigger thing than this book suggests. So I do have a couple of reservations about this book. (i) I wish it would cast an even larger net and include a wider range of self tracking activities including relationships, learning and skills. Non physical tracking activities. (ii) There is too much emphasis on privacy and not enough on data ownership. I would suggest that I should share in the ownership of any data collected about me, and that anyone (Amazon, Google, Apple, my insurance company, healthcare providers, the government) should be legally required to provide me my data in a machine readable format to do with what I choose.
This book provides a very informative overview of the self-tracking phenomena. It deals with a broad range of subjects that are directly applicable to this topic, but also that pertain to broader societal issues at stake such data privacy, the data economy and the cultural norms and ideals that surround our use of data. I found it to be quite engaging and thought provoking in ways that directly pertain to my own self tracking activities and broader professional interests.
Great discussion of self-tracking and the Quantified Self phenomenon. The focus less on technology, and more on social aspects, including data ownership and privacy.
Fascinating and timely topic, with more to it than I realized when I started the book. As I head on my way to being a true QS (Quantified Self) I was pleased to get some of the insights offered by the authors. A few more anecdotes and illustrations would make the book more interesting.
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