In observational studies of discrimination, the most common statistical approaches consider either the rate at which decisions are made (…
In this paper, we consider the statistical foundations for empirical tests of disparate impact. We begin by considering a recent, popular…
In almost every state, courts can jail those who fail to pay fines, fees, and other court debts—even those resulting from traffic or other…
In studies of discrimination, one popular strategy is to estimate disparities after adjusting for observed covariates, typically with a…
The field of fair machine learning aims to ensure that decisions guided by algorithms are equitable. Over the last decade, several formal,…
There is widespread concern that academic freedom is threatened by growing demands for intellectual conformity and attempted censorship…
In designing risk assessment algorithms, many scholars promote a “kitchen sink” approach, reasoning that more information yields more…
Automated Court Date Reminders Reduce Warrants for Arrest: Evidence from a Text Messaging Experiment
Millions of people in the U.S. every year are required to attend mandatory court dates as their cases proceed through the criminal legal…
Reducing Racial Inequality in Crime and Justice: Science, Practice, and Policy synthesizes the evidence on community-based solutions,…
Empirical researchers and criminal justice practitioners have generally set aside history in exchange for behavioral models and…