DATNAV: New Guide to Navigate and Integrate Digital Data in Human Rights Research

DatNav is the result of a collaboration between Amnesty International, Benetech, and The Engine Room, which began in late 2015 culminating in an intense four-day writing sprint facilitated by Chris Michael and Collaborations for Change in May 2016. HRDAG consultant Jule Krüger is a contributor, and HRDAG director of research Patrick Ball is a reviewer.

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.

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.

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.

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.

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

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

Reflections: Challenging Tasks and Meticulous Defenders

I have made it my personal objective to amplify HRDAG's message of being extra careful and scientifically rigorous with human rights data.

Liberian Truth and Reconciliation Commission Data

In July 2009, The Human Rights Data Analysis Group concluded a three-year project with the Liberian Truth and Reconciliation Commission to help clarify Liberia’s violent history and hold perpetrators of human rights abuses accountable for their actions. In the course of this work, HRDAG analyzed more than 17,000 victim and witness statements collected by the Liberian Truth and Reconciliation Commission and compiled the data into a report entitled “Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission.” Liberian TRC data and the accompanying data dictionary anonymized-statgivers.csv contains information ...

Violence in Blue: The 2020 Update

HRDAG has refreshed a 2016 Granta article about homicides committed by police in the United States.

Beka Steorts Named MIT Under-35 Innovator

We’ve known for years that Beka Steorts is on the cutting-edge of statistical science, and now The MIT Technology Review has realized the same. Last week she was named one of 35 Innovators Under 35, in the category of humanitarian. We first became familiar with Beka's work in 2013 when she was a visiting professor at Carnegie Mellon and was introduced to us by Prof. Steve Fienberg. Since then, we’ve felt very fortunate to collaborate with her on projects such as the UN enumeration of casualties in the Syrian conflict, and we look forward to many more years of work with her. She is one of several young stars we include in our superheroine hall ...

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.

HRDAG and Amnesty International: Prison Mortality in Syria

Today Amnesty International released “‘It breaks the human’: Torture, disease and death in Syria’s prisons ,” a report detailing the conditions and mortality in Syrian prisons from 2011 to 2015, including data analysis conducted by HRDAG. The report provides harrowing accounts of ill treatment of detainees in Syrian prisons since the conflict erupted in March 2011, and publishes HRDAG’s estimate of the number of killings that occurred inside the prisons. To accompany the report, HRDAG has released a technical memo that explains the methodology, sources, and implications of the findings. The HRDAG team used data from four ...

HRDAG at FAT* 2020: Pre-Trial Risk Assessment Tools

How do police officer booking decisions affect pre-trial risk assessment tools relied upon by judges?

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies

This Harvard Data Science Review article uses the least unreliable source of pandemic data: reported deaths.

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.

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.

Setting the Record Straight on Predictive Policing and Race

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. .

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.

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.

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.

To predict and serve?

Evaluation of the Kosovo Memory Book

At the end of 2014 we completed the evaluation of the Kosovo Memory Book database and are pleased to conclude that the database has succeeded in documenting all or nearly all the human losses during conflicts in Kosovo during the period from 1998 to 2000. With a motto of "Let people remember people," the goal of the Kosovo Memory Book (KMB) is to document all people who were killed or disappeared in connection with the war in Kosovo. The project aimed to document all human losses during armed conflict in the territory of the Former Yugoslav Republic (FYR) between 1998 and 2000. The KMB database evaluation is the fruition of several years of ...

Theoretical limits of microclustering for record linkage

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231 results for search: www.77m.kr/

DATNAV: New Guide to Navigate and Integrate Digital Data in Human Rights Research

The impact of overbooking on a pre-trial risk assessment tool

How many people are going to die from COVID-19?

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States

Reflections: Challenging Tasks and Meticulous Defenders

Liberian Truth and Reconciliation Commission Data

Violence in Blue: The 2020 Update

Beka Steorts Named MIT Under-35 Innovator

Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission

HRDAG and Amnesty International: Prison Mortality in Syria

HRDAG at FAT* 2020: Pre-Trial Risk Assessment Tools

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies

Measures of Fairness for New York City’s Supervised Release Risk Assessment Tool

Setting the Record Straight on Predictive Policing and Race

Limitations of mitigating judicial bias with machine learning

A Comparison of Marginal and Conditional Models for Capture–Recapture Data with Application to Human Rights Violations Data

The causal impact of bail on case outcomes for indigent defendants in New York City

To predict and serve?

Evaluation of the Kosovo Memory Book

Theoretical limits of microclustering for record linkage

Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

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231 results for search: www.77m.kr/

Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents. Donate

HRDAG

Selected projects

Stay informed about our work

Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

Donate