Bit by Bit is now available for pre-order

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I’m very happy to announce that Bit by Bit is now available for pre-order. If you order it right now, you should have it around Thanksgiving (November 23, 2017). Bit by Bit is for social scientists who want to do more data science, data scientists who want to do more social science, and anyone interested in the hybrid of these two fields.

Here are links where you can pre-order the book:
• Amazon: https://www.amazon.com/Bit-Social-Research-Digital-Age/dp/0691158649/
• Barnes & Noble: https://www.barnesandnoble.com/w/bit-by-bit-matthew-salganik/1125483924
• IndieBound: https://www.indiebound.org/book/9780691158648
• Princeton University Press: http://press.princeton.edu/titles/11057.html

Also, at the end of this post is some information from my publisher about the book, including a 25% off coupon and information about how you can request an exam copy.

Information from Princeton University Press

Princeton University Press is pleased to announce the publication of Bit by Bit: Social Research in the Digital Age by Matthew J. Salganik, an innovative and accessible guide to doing social research in the digital age.

“Bit by Bit is, by far, the best and most up-to-date book on modern social science. Salganik writes compellingly and inspiringly. He has done a wonderful job of collecting a diverse set of meaningful examples and describing how they are important in language anyone can understand.”–Sean Taylor, research scientist, Facebook

“This book is a gem–a rare combination of a highly accessible and engaging writing style coupled with an introduction to advanced computational methods for collecting and analyzing observational and experimental data.”–Michael Macy, Cornell University

Bit by Bit is an invaluable resource for social scientists who want to harness the research potential of big data and a must-read for data scientists interested in applying the lessons of social science to tomorrow’s technologies.

  • Illustrates important ideas with examples of outstanding research
  • Combines ideas from social science and data science in an accessible style and without jargon
  • Goes beyond the analysis of “found” data to discuss the collection of “designed” data such as surveys, experiments, and mass collaboration
  • Features an entire chapter on ethics
  • Includes extensive suggestions for further reading and activities for the classroom or self-study

Hardcover $35.00 ISBN: 9780691158648
360 pages. 21 halftones. 58 line illus. 28 tables. 2 maps. (2017)

Matthew J. Salganik is professor of sociology at Princeton University, where he is also affiliated with the Center for Information Technology Policy and the Center for Statistics and Machine Learning. His research has been funded by Microsoft, Facebook, and Google, and has been featured on NPR and in such publications as the New Yorker, the New York Times, and the Wall Street Journal.

Professors: To receive an exam copy upon publication, please email us at exam_copy@press.princeton.edu. Use the subject line: Salganik Exam Copy. The following information is required: book title, your name, course name, enrollment, semester, telephone number, university, department, your university email address and a complete shipping address. All exam copy requests are subject to approval.

To purchase a personal copy at 25% off, use code P06326 during checkout on our website. Click on this book link to order your copy online today from our website.

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