The text for this program provides cutting-edge data on data analytics.
"Elegant in its simplicity, 'Big Data and Social Science' is one of those books that every research group and data-analysis team will want to have on their reference shelf."
— Tom Herzog, Former Deputy Commissioner, NY State Department of Corrections and Community Supervision
"...the book takes the novice on a step-by-step journey through complex areas such as database dynamics, data linkage, text analysis, networks and data visualization. The book is a treasure trove of information. It leads the field in the important task of bringing together computer science, statistics and social science. I strongly recommend that all social scientists with an interest in 'big data' immerse themselves in this book."
— Professor Peter Elias, CBE, University of Warwick
"Any researcher will find this unique guide to be useful, and it is essential reading for any social science practitioner that wants to use the best available data to conduct influential research in the near future."
— Paul Decker, President and CEO, Mathematica Policy Research
"A book like this is useful for social scientists, experienced statisticians, econometricians and computer programmers who want to see the tools available to them. It will also be a helpful text for a budding data scientist who wants a fairly technical preview of the landscape."
— Tom Schenk Jr., Chief Data Officer, City of Chicago
The facilitators are leaders in the field of big data and social science. Rayid Ghani is the founder of the Eric & Wendy Schmidt Data Science for Social Good Program at the University of Chicago. Frauke Kreuter is the director of the Joint Program in Survey Methodology at the University of Maryland. Julia Lane led the development of the Big Data for Federal Statistical program at the University of Chicago and University of Maryland, and co-taught with both Ghani and Kreuter.
The facilitators are skilled at combining the analytical frameworks used by social scientists with computer science approaches.
They are also co-editors of the newly released "Big Data and Social Science: A Practical Guide to Methods and Tools."
This book will serve as the text book for the class. For more information on the text, visit http://www.bigdatasocialscience.com
Director, Center for Data Science and Public Policy
Senior Fellow, Harris School of Public Policy
Senior Fellow, Computational Institute, The University of Chicago
Professor, Joint Program in Survey Methodology, University of Maryland
Professor, Methods and Statistics, University of Mannheim
Head, Statistical Methods Group, German Institute for Employment Research, Nuremberg
Professor, Robert F. Wagner Graduate School of Public Service, NYU
Professor, Center for Urban Science and Progress, NYU
Provostial Fellow, Innovation Analytics