The federal Post Conviction Risk Assessment (PCRA): a construction and validation study.

By Christopher T. Lowenkamp, James L. Johnson, Alexander M. Holsinger, Scott W. VanBenschoten, Charles R. Robinson. 2013

60 citations recorded by the source corpus.

Subfields: Clinical Psychology, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. J. Skeem
2. J. Monahan
3. Christopher T. Lowenkamp
4. Alexandra Chouldechova
5. Ben Green
6. Cynthia Rudin
7. Sam Corbett-Davies
8. Sharad Goel

In Sociology and Political Science

1. J. Skeem
2. J. Monahan
3. Christopher T. Lowenkamp
4. Miroslav Dud'ik
5. Zhiwei Steven Wu
6. Alekh Agarwal
7. Alexandra Chouldechova
8. Ben Green

Citations in the corpus

• Fair Regression: Quantitative Definitions and Reduction-based Algorithms (2019, background): “Predictions of these quantities are treated as scores, which are used by human decision makers, perhaps in the context of a partly automated workflow, to reach final decisions (see, e.g., Waters & Miikkulainen, 2014; US Federal Reserve, 2007; Northpointe, 2010; Lowenkamp et al., 2012).”
• Gender, risk assessment, and sanctioning: The cost of treating women like men. (2016, methodology): “The certification process has been shown to yield high rates of inter-rater agreement in scoring (Lowenkamp et al., 2013).”