Christopher Lowenkamp

University of Missouri Kansas City

CCS, LLC

3867 West Market Street

#300

Fairlawn, OH 44333

United States

SCHOLARLY PAPERS

9

DOWNLOADS

1,693

SSRN CITATIONS

10

CROSSREF CITATIONS

1

Scholarly Papers (9)

1.

A Meta-Analytic Review of Pretrial Research: Risk Assessment, Bond Type, and Interventions

Number of pages: 47 Posted: 06 Mar 2016 Last Revised: 25 Oct 2018
Crime and Justice Institute at Community Resources for Justice, University of Missouri at Kansas City, University of Missouri Kansas City and Johnson County Court Services Kansas 10th Judicial District
Downloads 797 (58,025)
Citation 4

Abstract:

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2.

Using Algorithms to Address Trade-Offs Inherent in Predicting Recidivism

Skeem, J. & Lowenkamp, C., Using algorithms to address trade-offs inherent in predicting recidivism. Behavioral Sciences & the Law, Forthcoming
Number of pages: 40 Posted: 12 May 2020
Jennifer L. Skeem and Christopher Lowenkamp
University of California, Berkeley and University of Missouri Kansas City
Downloads 501 (104,950)
Citation 4

Abstract:

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risk assessment, algorithm, race, fairness, bias

Gender, Risk Assessment, and Sanctioning: The Cost of Treating Women Like Men

From Skeem, J., Monahan, J., & Lowenkamp, C. (2016). Gender, risk assessment, and sanctioning: The cost of treating women like men. Law and Human Behavior, 40(5), 580-593. doi: 10.1037/lhb0000206. , Virginia Public Law and Legal Theory Research Paper No. 2017-28
Posted: 26 May 2017
John Monahan, Jennifer L. Skeem and Christopher Lowenkamp
University of Virginia School of Law, University of California, Berkeley and University of Missouri Kansas City

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risk assessment, gender, test bias, disparities, sentencing

4.

Replication and Extension of the Lucas County PSA Project

Advancing Pretrial Policy and Research, 2020
Number of pages: 84 Posted: 15 Jan 2021
Christopher Lowenkamp, Matthew DeMichele and Lauren Klein Warren
University of Missouri Kansas City, RTI International and RTI International
Downloads 153 (350,183)

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5.

A Rejoinder to Dressel and Farid: New Study Finds Computer Algorithm is More Accurate than Humans at Predicting Arrest and as Good as a Group of 20 Lay Experts

Federal Probation, 82(2): 51-56
Number of pages: 6 Posted: 15 Nov 2018
University of Missouri at Kansas City, University of Missouri Kansas City, University of Cincinnati - College of Education, Criminal Justice, and Human Services, Carleton University, Government of the United States of America - Administrative Office of the U.S. Courts, AO US Courts, California State University, East Bay and AO US Courts
Downloads 88 (524,458)
Citation 3

Abstract:

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6.

Revalidation of the Federal Pretrial Risk Assessment Instrument (PTRA): Testing the PTRA for Predictive Biases

Number of pages: 50 Posted: 06 Jun 2018 Last Revised: 23 Oct 2018
Thomas H. Cohen and Christopher Lowenkamp
Government of the United States of America - Administrative Office of the U.S. Courts and University of Missouri Kansas City
Downloads 80 (555,637)
Citation 4

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7.

Place Matters: Racial Disparities in Pretrial Detention Recommendations Across the U.S.

Number of pages: 18 Posted: 12 Feb 2023
Jennifer L. Skeem, Lina Montoya and Christopher Lowenkamp
University of California, Berkeley, University of North Carolina (UNC) at Chapel Hill and University of Missouri Kansas City
Downloads 47 (724,251)

Abstract:

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Pretrial detention, race, disparity, place, bias

8.

Trademarks, Press Releases, and Policy: Will Rigorous Research Get in the Way?

Number of pages: 28 Posted: 15 Nov 2018
Kristin Bechtel, Anthony Flores, Alexander Holsinger and Christopher Lowenkamp
Crime and Justice Institute at Community Resources for Justice, California State University, East Bay, University of Missouri at Kansas City and University of Missouri Kansas City
Downloads 27 (875,535)

Abstract:

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Pretrial Detention, Failure to Appear, SCPS

9.

Age, Risk Assessment, and Sanctioning: Overestimating the Old, Underestimating the Young

From Monahan, J., Skeem, J., & Lowenkamp, C. (2017). Age, risk assessment, and sanctioning: Overestimating the old, underestimating the young. Law and Human Behavior, 41(2), 191-201. doi: 10.1037/lhb0000233. , Virginia Public Law and Legal Theory Research Paper No. 2017-27
Posted: 26 May 2017
John Monahan, Jennifer L. Skeem and Christopher Lowenkamp
University of Virginia School of Law, University of California, Berkeley and University of Missouri Kansas City

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risk assessment, age, test bias, disparities, sentencing