m.bylicki

M.A. Michał Bylicki

Department of Microeconomics
PhD Student

Affiliation

Doctoral School of Social Sciences, Economics and Finance

Short Research Description

I primarily engage in the empirical study of law using machine learning algorithms. In my doctoral thesis, I analyzed the content of judgments from Polish district courts. I grouped them by topic using topic modeling algorithms. I then analyzed the distribution of themes over time using time series analysis tools, which allowed me to identify monotonic trends and seasonal patterns in jurisprudence.

Research Interests


Keywords