cjerzak / descriptiverepresentationcalculator-software

DescriptiveRepresentationCalculator: An R package for quantifying observed and expected descriptive representation

Bio + CV

Primary affiliation: Assistant Professor in the Department of Government at the University of Texas at Austin.

Visiting affiliation: Visiting Assistant Professor in the Department of Government at Harvard University.

Consulting role: Institute for Health Metrics & Evaluation (IHME), University of Washington.

Methodological research: AI and global development, earth observation data for causal inference, adversarial dynamics, computational text analysis.

Substantive research: Political economy, social movements, descriptive representation.

[CV] [Google Scholar] [UT Profile] [Academic Website]

[AI & Global Development Lab GitHub]

[Data Assets]

[YouTube Tutorials] [Hugging Face]

Papers & Code

[Global Causal Inference] [Code]

[Can Large Language Models (or Humans) Disentangle Text Features?] [Code]

[Image-based Treatment Effect Heterogeneity] [Code]

[Non-parametric Content Analysis] [Code]

[Linking Datasets on Organizations Using Half A Billion Open Collaborated Records] [Code]

[The Composition of Descriptive Representation] [Code]

[Degrees of Randomness in Rerandomization Procedures] [Code]

[Housing Values and Partisanship: Evidence from E-ZPass]

More: ConnorJerzak.com/Research