Christopher Lowenkamp

CCS, LLC

3867 West Market Street

#300

Fairlawn, OH 44333

United States

University of Missouri Kansas City

SCHOLARLY PAPERS

9

DOWNLOADS

1,405

SSRN CITATIONS

1

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, CCS, LLC and Johnson County Court Services Kansas 10th Judicial District
Downloads 695 (55,243)
Citation 3

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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 CCS, LLC

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risk assessment, gender, test bias, disparities, sentencing

3.

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 CCS, LLC
Downloads 348 (127,172)
Citation 1

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risk assessment, algorithm, race, fairness, bias

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
CCS, LLC, RTI International and RTI International
Downloads 124 (326,352)

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5.

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

Number of pages: 55
Thomas H. Cohen and Christopher Lowenkamp
Government of the United States of America - Administrative Office of the U.S. Courts and CCS, LLC
Downloads 124

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6.

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, CCS, LLC, 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 59 (509,264)
Citation 1

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7.

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 CCS, LLC
Downloads 45 (572,547)

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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 CCS, LLC
Downloads 10 (830,126)

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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 CCS, LLC

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risk assessment, age, test bias, disparities, sentencing