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research-reproducibility

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This repository reproduces the analysis from Government Transfers and Political Support by Manacorda, et al. (2011), using regression discontinuity (Difference-in-Differences) to explore the impact of Uruguay's PANES cash transfer program on political support with robustness checks, and visualizations.

  • Updated Apr 11, 2025
  • R

End-to-end Python framework implementing O'Clery et al.'s (2025) methodology for mapping global supply chains. Constructs a high-resolution digital twin of global production networks from 1B+ firm transactions. Features community detection, centrality analysis, and econometric diversification prediction models.

  • Updated Aug 22, 2025
  • Jupyter Notebook

A reproducible Docker-based pipeline for running machine learning experiments with GPU support. This repository provides pre-configured Docker images, environment files, and scripts for: - Setting up GPU-enabled containers - Running training and inference - Managing environments reproducibly

  • Updated Nov 14, 2025
  • Dockerfile

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