binomialbias 1.1.2

Quantitative assessment of discrimination based on the binomial distribution

Binomial Bias

Library to compute and plot quantitative assessments of discrimination within organizations, based on the binomial distribution.

This code supports the following paper:

Quantitative assessment of discrimination in appointments to senior Australian university positions. Robinson PA, Kerr CC. Under review (2023).

There are several ways to use this library, described below.

Webapp

A live webapp is running at https://binomialbias.sciris.org.

Local installation and usage

Python

To use locally with Python, run

pip install binomialbias

This can then be run via e.g.:

import binomialbias as bb
bb.plot_bias(n=20, n_e=10, n_a=7)

This example shows the statistics for the case where there were n = 20 appointments (e.g., the size of a committee), out of which n_e = 10 people were expected to belong to a given group (e.g., female), and for which n_a = 7 actually were.

Shiny

To run the Shiny app, clone the repository from GitHub, then install with

pip install -e .[app]

The PyShiny app can then be run locally via the run script.

Structure

• All code for the Python package is in the binomialbias folder.
• The script for generating the figure in the papers is in the scripts folder.
• Continuous integration tests are in the tests folder.
• Older Jupyter and Matplotlib versions are available in the archive folder.