Foster is an Argonne Distinguished Fellow and senior scientist in the Mathematics and Computer Science Division. He is also a professor at the University of Chicago.
The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. It illustrates social science and data science principles through real-world applications and provides programming exercises.
“We take a pragmatic approach, drawing on our experiences working with large-scale data.,” said Foster. “And while we focus on a major social science policy issue – the link between research investments and innovation – the approach is generalizable.”
For further information and a discount code for ordering the book, see https://www.crcpress.com/Big-Data-and-Social-Science-A-Practical-Guide-…
Also see the CRC Press website: https://www.crcpress.com/Big-Data-and-Social-Science-A-Practical-Guide-to-Methods-and-Tools/Foster-Ghani-Jarmin-Kreuter-Lane/p/book/9781498751407.