227 results for search: www.zoz.kr/
Beka Steorts Named MIT Under-35 Innovator
Liberian Truth and Reconciliation Commission Data
Violence in Blue: The 2020 Update
Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission
Kristen Cibelli, Amelia Hoover, and Jule Krüger (2009). “Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission,” a Report by the Human Rights Data Analysis Group at Benetech and Annex to the Final Report of the Truth and Reconciliation Commission of Liberia. Palo Alto, California. Benetech.
Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States
James Johndrow, Patrick Ball, Maria Gargiulo, and Kristian Lum. (2020). Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States. Harvard Data Science Review. 24 November, 2020. © The Authors, 2020, CC BY 4.0. https://doi.org/10.1162/99608f92.7679a1ed
How many people are going to die from COVID-19?
Patrick Ball, Kristian Lum, Tarak Shah and Megan Price (2020). How many people are going to die from COVID-19? Granta. 14 March 2020. © Granta Publications 2020.
The impact of overbooking on a pre-trial risk assessment tool
Kristian Lum, Chesa Boudin and Megan Price (2020). The impact of overbooking on a pre-trial risk assessment tool. FAT* ’20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. January 2020. Pages 482–491. https://doi.org/10.1145/3351095.3372846 ©ACM, Inc., 2020.
Reflections: Challenging Tasks and Meticulous Defenders
HRDAG at FAT* 2020: Pre-Trial Risk Assessment Tools
Measures of Fairness for New York City’s Supervised Release Risk Assessment Tool
Kristian Lum and Tarak Shah (2019). Measures of Fairness for New York City’s Supervised Release Risk Assessment Tool. Human Rights Data Analysis Group. 1 October 2019. © HRDAG 2019.
Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies
Low-risk population size estimates in the presence of capture heterogeneity
James Johndrow, Kristian Lum and Daniel Manrique-Vallier (2019). Low-risk population size estimates in the presence of capture heterogeneity. Biometrika, asy065, 22 January 2019. © 2019 Biometrika Trust. https://doi.org/10.1093/biomet/asy065
A Comparison of Marginal and Conditional Models for Capture–Recapture Data with Application to Human Rights Violations Data
Shira Mitchell, Al Ozonoff, Alan Zaslavsky, Bethany Hedt-Gauthier, Kristian Lum and Brent Coull (2013). A Comparison of Marginal and Conditional Models for Capture-Recapture Data with Application to Human Rights Violations Data. Biometrics, Volume 69, Issue 4, pages 1022–1032, December 2013. © 2013, The International Biometric Society. DOI: 10.1111/biom.12089.
New publication in BIOMETRIKA
Evaluation of the Kosovo Memory Book
To predict and serve?
Kristian Lum and William Isaac (2016). To predict and serve? Significance. October 10, 2016. © 2016 The Royal Statistical Society.
Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment
Laurel Eckhouse, Kristian Lum, Cynthia Conti-Cook and Julie Ciccolini (2018). Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment. Criminal Justice and Behavior. November 23, 2018. © 2018 Sage Journals. All rights reserved. https://doi.org/10.1177/0093854818811379
Limitations of mitigating judicial bias with machine learning
Kristian Lum (2017). Limitations of mitigating judicial bias with machine learning. Nature. 26 June 2017. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Human Behavior. DOI 10.1038/s41562-017-0141.
HRDAG and Amnesty International: Prison Mortality in Syria
The causal impact of bail on case outcomes for indigent defendants in New York City
Kristian Lum, Erwin Ma and Mike Baiocchi (2017). The causal impact of bail on case outcomes for indigent defendants in New York City. Observational Studies 3 (2017) 39-64. 31 October 2017. © 2017 Institute of Mathematical Statistics.