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Our Thoughts on #metoo

Violence against women in all its forms is a human rights violation. Most of our HRDAG colleagues are women, and for us, unfortunately, recent campaigns such as #metoo are unsurprising.

Full Updated Statistical Analysis of Documentation of Killings in the Syrian Arab Republic

Price, Megan, Jeff Klingner, Anas Qtiesh, and Patrick Ball. 2013. Commissioned by the United Nations Office of the High Commissioner for Human Rights (OHCHR). Human Rights Data Analysis Group (June 13). © 2013 HRDAG. Creative Commons BY-NC-SA. [pdf via UN]


Estimating Undocumented Homicides with Two Lists and List Dependence

Kristian Lum and Patrick Ball. 2015. Human Rights Data Analysis Group (April 2). © 2015 HRDAG.Creative Commons BY-NC-SA.


The Rafto Prize 2021 to Human Rights Data Analysis Group

“The Rafto Prize 2021 is awarded to the Human Rights Data Analysis Group (HRDAG) for their wide-reaching documentation of grave human rights abuses. By using statistics and data science they uncover large-scale human rights violations that might otherwise go undetected. This novel approach has enabled courts to bring perpetrators to justice and given closure to affected victims and their families. HRDAG represents a new generation of human rights defenders that advances the enforcement of human rights globally.”


Liberia 2009 – Coding Testimony to Determine Accountability for War Crimes

In July 2009, HRDAG concluded a three-year project with the Liberian Truth and Reconciliation Commission (TRC) to help clarify Liberia’s violent history and hold perpetrators accountable. A military coup in 1979 sparked 24 years of civil war in Liberia where warring factions subjected civilians to severe human rights abuses. The TRC sought to determine whether these violations represented a systematic pattern or policy. This chapter describes how HRDAG developed a statistical analysis of the more than 17,000 victim and witness statements collected by the TRC and applied Ball’s “Who Did What To Whom?” methodology. HRDAG scientist Kristen ...

HRDAG’s Year End Review: 2019

In 2019, HRDAG aimed to count those who haven't been counted.

Archivists Can Be At the Heart of Accountability and Justice


Big data may be reinforcing racial bias in the criminal justice system

Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.

Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.


HRDAG Wins the Rafto Prize

The Rafto Foundation, an international human rights organization, has bestowed the 2021 Rafto Prize to HRDAG for its distinguished work defending human rights and democracy.

Guatemala 1993-1999 – Using MSE to Estimate the Number of Deaths

Propelled by the impact of data analysis in El Salvador, Patrick Ball applied his WDWTW model to human rights information in other countries. Throughout the 1990’s, Ball worked at the American Association for the Advancement of Science (AAAS) analyzing large-scale human rights violations in Ethiopia, South Africa, Haiti and Guatemala. Together with senior scientific colleagues, including statistician Dr. Herb Spirer, Ball developed new methods for analyzing state-sanctioned violence. This chapter documents how the research expanded when a group of nongovernmental organizations in Guatemala asked the scientific community to gather and analyze ...

Judges in Habré Trial Cite HRDAG Analysis

Three months after the announcement of the momentous verdict finding former Chadian president Hissène Habré guilty of crimes against humanity, the presiding judges have released the full, written 681-page judgment of the court. Testimony given by HRDAG’s director of research, Patrick Ball, is mentioned at three points in the verdict. The judges included in their written judgment the HRDAG analysis that the mortality rate in Habré prisons was staggeringly high—much higher than the mortality rate among the population as a whole. Here’s an excerpt from the judgment, page 358 (translated by Google): The statistical expert, Patrick Ball, ...

Funding

HRDAG’s funding comes from private, international donors:  the John D. and Catherine T. MacArthur Foundation, Open Society Foundations, an anonymous U.S.-based private foundation, Ford Foundation, The National Endowment for Democracy and individual donors. This funding supports both specific projects, as well as our scientific work generally in human rights data analysis. For the entirety of its existence, HRDAG has been a project of non-profit organizations, first at the American Association for the Advancement of Science (AAAS), and then at Benetech, a non-profit Silicon Valley technology company. In February 2013, HRDAG became ...

HRDAG’s Year in Review: 2022

This past year at HRDAG has been about continuing efforts to uncover the truth.

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 ...

Uncovering Police Violence in Chicago: A collaboration between HRDAG and Invisible Institute

In 2014 and again in 2020, the Invisible Institute, a Chicago grassroots organization, won lawsuits that granted them access to decades of complaints of misconduct by Chicago police officers. The collection contains hundreds of thousands of pages of allegation forms, memos, various police administrative forms, interviews and testimonies, pictures, and even embedded audio files. The Institute published scanned images on the Citizens Police Data Project, and is using them for a project with HRDAG known as Beneath the Surface, which is a detailed investigation into gender-based violence by Chicago Police. Image: David Peters Often, gender-b...

To predict and serve?

Kristian Lum and William Isaac (2016). To predict and serve? Significance. October 10, 2016. © 2016 The Royal Statistical Society. 

Kristian Lum and William Isaac (2016). To predict and serve? Significance. October 10, 2016. © 2016 The Royal Statistical Society. 


Guatemalan National Police Archive Project

The Historic Archive of the Guatemalan National Police (hereafter the Archive) was discovered, quite by accident, in July 2005.  Researchers immediately recognized both the importance and the fragility of the Archive's contents.  As a result, in early 2006 the Archive team invited Patrick to evaluate the documents and help them answer a seemingly simple question: How can we learn about the contents of the Archive in a shorter period of time than is needed to systematically examine each individual document? After inspecting the Archive, Patrick designed a multi-stage random sample of documents.  In May 2006, Tamy Guberek, Daniel Guzmán, and ...

Reflections: The People Who Make the Data

HRDAG associate Miguel Cruz has an epiphany. All those data he’s drowning in? Each datapoint is a personal tragedy, a story both dark and urgent, and he’s privileged to have access.

Using MSE to Estimate Unobserved Events

At HRDAG, we worry about what we don't know. Specifically, we worry about how we can use statistical techniques to estimate homicides that are not observed by human rights groups. Based on what we've seen studying many conflicts over the last 25 years, what we don't know is often quite different from what we do know. The technique we use most often to estimate what we don't know is called "multiple systems estimation." In this medium-technical post, I explain how to organize data and use three R packages to estimate unobserved events. Click here for Computing Multiple Systems Estimation in R.

Multiple Systems Estimation: Collection, Cleaning and Canonicalization of Data

<< Previous post: MSE: The Basics Q3. What are the steps in an MSE analysis? Q4. What does data collection look like in the human rights context? What kind of data do you collect? Q5. [In depth] Do you include unnamed or anonymous victims in the matching process? Q6. What do you mean by "cleaning" and "canonicalization?" Q7. [In depth] What are some of the challenges of canonicalization? (more…)

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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