Inequality Data Science (IDS) Lab

The IDS Lab studies social inequality using data science methods. Researchers use causal inference and machine learning methods to address socioeconomic inequality, stratification, mobility, and education research questions. IDS research investigators include faculty, postdocs, and graduate students in sociology, statistics, political science, epidemiology, and education at UCLA, Harvard, Penn, Oxford, and Stanford.