This book evolves from two different traditions: computer science and social research - the building blocks for computational social sciences. It integrates these two disciplines to introduce the fundamental tools and approaches available through the different types of computational social science methods.
The book consists of eleven chapters. Together they explore aspects such as:
Matti Nelimarkka (PhD, computer science; MSSc, political science) teaches programming for social scientists at the Centre for Social Data Science, University of Helsinki. He has over ten years of experience in teaching programming to students. Currently, his courses include
Beyond active teaching, Dr. Nelimarkka conducts research in the intersections of computer science and social science. Today, he focuses on applying digital and computational methods to social sciences, exploring data science practices and pushing forward more politology in human-computer interaction. His research is published in venues like New Media & Society, ACM CHI Conference on Human Factors in Computing Systems and ACM CSCW Conference on Computer Supported Collaborational Work. He also works as an in-house scientists at Futurice, a Finnish software consultancy.