And from our own experience, we can say: these methods are accessible, especially if approached from the story side rather than from the mathematical formula side. Throughout our years of experience in teaching computational methods to social science students in the University of Warsaw and Groningen, we developed a number of didactical approaches that help us to familiarize students with computational methods. We are creating this MOOC for learners of social sciences who often experience high levels of anxiety when it comes to mathematics, computers, formal modelling and have no knowledge of advanced algebra, mathematical analysis or programming. If you are a teacher and would like to use the materials in your classes, you can find (and download) all educational materials below: videos on YouTube, course curricula, short texts, quizzes. You can find short descriptions and trailers of the courses below. You will find a couple of short comprehensive course modules combining short videos, interactive exercises, article steps and quizzes.
If you want to learn, visit the digital education platform FutureLearn and start improving your computational social science skills right away. All digital training and teaching materials are freely available to learners and teachers. The project aims to promote students’ computational skills and reduce barriers to computational thinking. The University of Warsaw together with the University of Groningen and the Alexander von Humboldt Institute for Internet and Society has developed a program of Massive Open Online Courses (MOOCs) that combines academics expertise and real-world examples in which computational models are used to analyse societal processes. ACTiSS – Action for Computational Thinking in Social Sciences is an educational project aimed at fostering the development of computational thinking among social science students and young professionals.
With an increasingly turbulent society, the demand for social scientists who are capable of analysing behavioural dynamics using computational methods is rising.
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