Research ArticleSOCIAL SCIENCES The limits of human predictions of recidivism View ORCID ProfileZhiyuan “Jerry” Lin1, View ORCID ProfileJongbin Jung1, View ORCID ProfileSharad Goel1,* and View ORCID ProfileJennifer Skeem21Stanford University, Stanford, CA, USA.2University of California, Berkeley, Berkeley, CA, USA.↵*Corresponding author. Email: scgoel{at}stanford.edu See allHide authors and affiliations Science Advances 14 Feb 2020:Vol. 6, no. 7, eaaz0652DOI: 10.1126/sciadv.aaz0652 Zhiyuan “Jerry” Lin 1Stanford University, Stanford, CA, USA.Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Zhiyuan “Jerry” Lin Jongbin Jung 1Stanford University, Stanford, CA, USA.Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Jongbin Jung Sharad Goel 1Stanford University, Stanford, CA, USA.Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Sharad Goel For correspondence: scgoel@stanford.edu Jennifer Skeem 2University of California, Berkeley, Berkeley, CA, USA.Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Jennifer Skeem Article Figures & Data Info & Metrics eLetters PDF Article Information vol. 6 no. 7 DOI: https://doi.org/10.1126/sciadv.aaz0652 Published By: American Association for the Advancement of Science Online ISSN: 2375-2548 History: Received for publication August 9, 2019Accepted for publication December 10, 2019 . Copyright & Usage: Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Author Information Zhiyuan “Jerry” Lin1, Jongbin Jung1, Sharad Goel1,* and Jennifer Skeem21Stanford University, Stanford, CA, USA.2University of California, Berkeley, Berkeley, CA, USA.↵*Corresponding author. Email: scgoel{at}stanford.edu Altmetric Article usage Article lifetimeLast 6 monthsThis monthArticle usage: February 2020 to January 2021 AbstractFullPdf Feb 202029384101852 Mar 2020801818443 Apr 202025859235 May 202045641170 Jun 202036621147 Jul 202034444161 Aug 202035418138 Sep 202051481179 Oct 202056478228 Nov 202076437210 Dec 202081545189 Jan 20212915250 View Full Text
The limits of human predictions of recidivism By Zhiyuan “Jerry” Lin, Jongbin Jung, Sharad Goel, Jennifer Skeem Science Advances14 Feb 2020 : eaaz0652 Statistical algorithms can outperform human predictions of recidivism. Supplementary Materials
The limits of human predictions of recidivism By Zhiyuan “Jerry” Lin, Jongbin Jung, Sharad Goel, Jennifer Skeem Science Advances14 Feb 2020 : eaaz0652 Statistical algorithms can outperform human predictions of recidivism. Supplementary Materials