June 16 to June 29, 2019 | Kadir Has University
The Summer Institute will bring together people from many fields, and therefore we think that asking you to do some reading before you arrive will help us use our time together more effectively.
First, we ask you to read Matt’s book, Bit by Bit: Social Research in the Digital Age (Read online or purchase from Amazon, Barnes & Noble, IndieBound, or Princeton University Press), which is a broad introduction to computational social science. Parts of this book will be review for most of you, but if we all read this book ahead of time, then we can use our time together for more advanced topics.
Also we’d like you to read following articles
The majority of the coding work presented at the 2019 SICSS will employ R. However, you are welcome to employ a language of your choice, such as Python, Julia, or other languages that are commonly used by computational social scientists.
If you are unfamiliar with programming, we recommend R for synenergy benefits. You can learn R from the free RStudio Primers, which can be supplemented by the open access book R for Data Science by Garrett Grolemund and Hadley Wickham. RStudio Primers cover 6 topics: The Basics, Working with Data, Visualize Data, Tidy Your Data, Iterate, and Write Functions. If you already feel comfortable with these topics (either in R or some other language), then you do not need to complete these Primers.
If you would like more practice after completing the RStudio Primers, some other materials that we can recommend are:
Also, for students with little or no exposure to sociology, economics, or political science, we have assembled a collection of exemplary papers which introduce social science thinking: