activity
20122024
most citedA statistical framework for fair predictive algorithms

58 citations · 211 across the 22 of their papers we have counts for

collaborators
Showing stat.APShow all

8 papers · 1 filter

stat.AP2022

Characterizing patterns in police stops by race in Minneapolis from 2016-2021

Tuviere Onookome-Okome, Jonah Gorondensky, Eric Rose +3

The murder of George Floyd centered Minneapolis, Minnesota, in conversations on racial injustice in the US. We leverage open data from the Minneapolis Police Department to analyze…

stat.AP2021★ 1 cited

Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment

Kristian Lum, David B. Dunson, James Johndrow

Risk assessment instruments are used across the criminal justice system to estimate the probability of some future behavior given covariates. The estimated probabilities are then u…

stat.AP2020★ 7 cited

Estimating the number of SARS-CoV-2 infections and the impact of social distancing in the United States

James Johndrow, Kristian Lum, Maria Gargiulo +1

Understanding the number of individuals who have been infected with the novel coronavirus SARS-CoV-2, and the extent to which social distancing policies have been effective at limi…

stat.AP2020★ 1 cited

The impact of overbooking on a pre-trial risk assessment tool

Kristian Lum, Chesa Boudin, Megan Price

Pre-trial risk assessment tools are used to make recommendations to judges about appropriate conditions of pre-trial supervision for people who have been arrested. Increasingly, th…

stat.AP2018★ 13 cited

Removing the influence of a group variable in high-dimensional predictive modelling

Emanuele Aliverti, Kristian Lum, James E. Johndrow +1

In many application areas, predictive models are used to support or make important decisions. There is increasing awareness that these models may contain spurious or otherwise unde…

stat.AP2017★ 1 cited

The causal impact of bail on case outcomes for indigent defendants

Kristian Lum, Mike Baiocchi

We use near-far matching, a technique for estimating causal relationships, to explore whether bail causes a higher likelihood of conviction. We find evidence of a strong causal imp…

stat.AP2017★ 6 cited

An algorithm for removing sensitive information: application to race-independent recidivism prediction

James E. Johndrow, Kristian Lum

Predictive modeling is increasingly being employed to assist human decision-makers. One purported advantage of replacing or augmenting human judgment with computer models in high s…

stat.AP2013

An agent-based epidemiological model of incarceration

Kristian Lum, Samarth Swarup, Stephen Eubank +1

We build an agent-based model of incarceration based on the SIS model of infectious disease propagation. Our central hypothesis is that the observed racial disparities in incarcera…