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.
A tremendously useful introduction for data scientists to the pressing questions of the social sciences, and for social scientists to the mindset and toolset of data science. With skill and scholarly insight, Salganik addresses the ethical questions that arise at the intersection of data science and social science. -Chris Wiggins, Columbia University This is a book to return to time and again. . . . Bit by Bit should be widely read by those engaging in social research, as well as beyond. -Farida Vis, Times Higher Education Salganik is one of the first natural-born computational social scientists. . . . The text is clearly written-even breezy, in parts. It puts the reader in the shoes of the researcher: What decisions were made, why, and were those the best choices? It is suitable for an advanced undergraduate or graduate class in methodology, with a rigorous, mathematical appendix and a range of useful problems at the conclusion of each chapter. -David Lazer, Science An enticing and important field guide to the new frontier of digital social research. -Beth Simone Noveck, Forbes Winner of the 2019 PROSE Award in Textbook / Social Sciences, Association of American Publishers