A course surveying text analysis, machine learning, and social network analysis for social-science research.
A course covering the data-science workflow from collection to analysis, with hands-on emphasis on data engineering, cleaning, curation, and wrangling.
A graduate-level survey of experiments, statistical analysis, historical-comparative analysis, and ethnography.
A mini conference and hands-on workshop on generative AI and large language models in social-science research, including structured extraction and validation workflows.
