Prüfer, Jens

Prüfer, Patricia

English

To which extent can data science methods – such as machine learning, text analysis, or sentiment analysis – push the research frontier in the social sciences? This essay briefly describes the most prominent data science techniques that lend themselves to analyses of institutional and organizational governance structures. We elaborate on several examples applying data science to analyze legal, political, and social institutions and sketch how specific data science techniques can be used to study important research questions that could not (to the same extent) be studied without these techniques. We conclude by comparing the main strengths and limitations of computational social science with traditional empirical research methods and its relation to theory

Tilburg University Repository

Data Science for Institutional and Organizational Economics

https://pure.uvt.nl/ws/files/25398989/2018_016.pdf

Data Science for Institutional and Organizational Economics

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Tilburg University Repository