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Code for "Interventions for Ranking in the Presence of Implicit Bias"

This repository contains the code for reproducing the simulations in our paper

Interventions for Ranking in the Presence of Implicit Bias
L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
ACM Conference on Fairness, Accountability, and Transparency, ACM FAT* 2020
arXiv: https://arxiv.org/abs/2011.04219

Running Simulations

To run the simulations, inside the experiments folder, execute

python experiments.py

To generate other additional plots in the paper, inside the experiments folder, execute

python jee2009-additional-figs.py
python semantic-scholar-additional-figs.py

2009 IIT-JEE Scores Dataset

This repository also provides a copy of the 2009 IIT-JEE Scores Dataset released in response to a Right to Information application filed in June 2009 [1]. We use this dataset in our empirical evaluations.

Parsing the dataset (using Python 3.*)

from meza import io
record = io.read('jee2009.mdb')
result=[]
for i in range(384977): 
    result.append(next(record))

References

[1] RTI Complaint. Decision No. CIC/SG/C/2009/001088/5392, Complaint No. CIC/SG/C/2009/001088 Rajeev Kumar, 2009

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