Pinned Repositories
asr-disparities
Code and data for Koenecke et al. (2020)
causal-fairness
Causal Conceptions of Fairness and their Consequences
law-order-algo
Course material for Law, Order, and Algorithms
law-order-algo-2021
Law, Order, and Algorithms
opp
Open Policing Project
polling-errors
Replication materials for "Disentangling Bias and Variance in Election Polls"
recidivism-predictions
Replication code "The Limits of Human Predictions of Recidivism" by Lin et al. (2020)
risk-adjusted-regression
Replication materials for "Omitted and Included Variable Bias in Tests for Disparate Impact" (Jung et al., 2019)
surveilling-surveillance
Codebase for "Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data"
wisdom-of-crowds
Studying the "wisdom of crowds" at scale
Computational Policy Lab's Repositories
stanford-policylab/opp
Open Policing Project
stanford-policylab/asr-disparities
Code and data for Koenecke et al. (2020)
stanford-policylab/surveilling-surveillance
Codebase for "Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data"
stanford-policylab/polling-errors
Replication materials for "Disentangling Bias and Variance in Election Polls"
stanford-policylab/law-order-algo
Course material for Law, Order, and Algorithms
stanford-policylab/recidivism-predictions
Replication code "The Limits of Human Predictions of Recidivism" by Lin et al. (2020)
stanford-policylab/wisdom-of-crowds
Studying the "wisdom of crowds" at scale
stanford-policylab/causal-fairness
Causal Conceptions of Fairness and their Consequences
stanford-policylab/law-order-algo-2021
Law, Order, and Algorithms
stanford-policylab/risk-adjusted-regression
Replication materials for "Omitted and Included Variable Bias in Tests for Disparate Impact" (Jung et al., 2019)
stanford-policylab/fairML
ICML tutorial on algorithmic fairness
stanford-policylab/simple-rules
Public repository for simple rules paper
stanford-policylab/gcbsgh-rep
Replication materials for "A Causal Framework for Observational Studies of Discrimination" by Gaebler et al. (2020).
stanford-policylab/learning-to-be-fair
Replication materials for Chohlas-Wood et al. (2021)
stanford-policylab/mathbot
stanford-policylab/mse125
Course material for MS&E 125: Intro to Applied Statistics
stanford-policylab/blind-charging-demo
Demonstration version of the Blind Charging Python module
stanford-policylab/blind-charging
Public repo for race-blind charging algorithm.
stanford-policylab/debt
Reproduction Materials for "Forgotten but not gone: A multi-state analysis of modern-day debt imprisonment"
stanford-policylab/dsw2
stanford-policylab/iriss-workshop
Materials for the IRiSS R/Py crash course
stanford-policylab/scpl-smash-2020
stanford-policylab/sharpie
JavaScript text annotation library
stanford-policylab/telematics
Measuring racial and ethnic disparities in traffic enforcement with large-scale telematics data