Dataset and Code for "Hidden or Undetected? Quantifying the Boundary Between Structural Bias and Statistical Noise in Peer Review"

This repository contains the synthetic simulation data and analysis code used in the study “Hidden or Undetected? Quantifying the Boundary Between Structural Bias and Statistical Noise in Peer Review.” All data are fully simulated and contain no real peer-review records or personal information. The repository includes: Synthetic peer-review datasets Jupyter notebooks for visualization and analysis Scripts that generate the data-generating process (DGP) Documentation for reproducibility These materials support transparency and replicability of the study’s statistical analysis and Monte-Carlo simulations.