PhD Courses in Computational Methods

Assistant Professor Jason Burton

Copenhagen Business School

This course is designed for doctoral students who are interested in applying computational research methods to social science research. The overarching objectives of the course are to (1) familiarize students with key concepts in the field of computational social science, and (2) equip students with the practical know-how needed to apply computational research methods to their own research interests. Special focus is given to the collection and analysis of digital trace data and agent-based modeling and simulation.

Associate Professor, Docent Marcel Garz

Jönköping International Business School

Human communication is increasingly recorded as digital text, which constitutes big data that can be used to study numerous scientific and real-world problems. The goals of this course are to (i) provide an introduction to quantitative methods designed to analyze text, (ii) give an overview over common applications of these methods in economics and the social sciences, and (iii) illustrate the potential of text-as-data methods to ask new research questions and find new answers to existing problems.