Repository for a small package for joint calibration of totals, quantiles and other metrics
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Updated
Apr 3, 2025 - R
Repository for a small package for joint calibration of totals, quantiles and other metrics
End-to-end pipeline for collecting, labeling, and analyzing metaphor framing and stance in Reddit and news discourse using LLMs.
Survey methodology project evaluating ASHA response behavior, postcard reminder effects, and postal mail vs. web survey mode differences using R, bootstrap inference, and logistic regression.
LLM-vs-digital-trace sentiment analysis project comparing electric vehicle public opinion across Reddit, news, and model-generated sentiment; selected for AAPOR 2025.
Personal website showcasing my work in survey methodology, machine learning, and computational social science.
This repository contains the data, code, and supplementary material for the paper "Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion" by Leah von der Heyde, Anna-Carolina Haensch, and Alexander Wenz, available at https://doi.org/10.31235/osf.io/8je9g
Canadian Health Outcomes Analytics: A Python-based data science project exploring correlations between physical activity levels and health outcomes (BMI/Obesity) using the StatCan CCHS dataset.
Replication code for Gieng (2026), "Measurement Is Not Passive: Identification of Treatment Effects When Outcomes Are Elicited Rather Than Observed."
autumn: Fast, Modern, and Tidy-Friendly Iterative Raking in R.
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