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Replication Data for 'Eliminating Unintended Bias in Personalized Policies Using Bias Eliminating Adapted Trees (BEAT)'

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for 'Eliminating Unintended Bias in Personalized Policies Using Bias Eliminating Adapted Trees (BEAT)'
 
Identifier https://doi.org/10.7910/DVN/EWEB0W
 
Creator Ascarza, Eva
Israeli, Ayelet
 
Publisher Harvard Dataverse
 
Description This dataset includes the files (code and data) needed to replicate the results in “Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT).” The R code replicates the simulation analyses and results (Sections 2, 3.2, 3.3, and SI Appendix A). The experimental data along with the code that analyzes it are also provided to replicate the experimental results (Section 3.4 and SI Appendix B). The experimental data was collected online via MTurk. Location information has been adjusted to preserve anonymity.
 
Subject Business and Management
Algorithmic Bias
Fairness and Discrimination
Personalization
Targeted Interventions
 
Language English
 
Contributor Barkan, Sally
 
Type Survey Data
Experimental Data