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How Structuring Data Unburies Critical Louisiana Police Misconduct Data

In Orleans Parish, Louisiana, home of New Orleans, 78 percent of wrongful convictions have been linked to a police officer’s failure to share exculpatory evidence with the defense. This is a rate more than double the national average.But while these actions, or any misconduct, by law enforcement personnel may be recorded officially, the data may be difficult to use or find. Depending on a parish’s resources, the data may be archived in a non-digital format, for example, on paper.  Innocence Project New Orleans (IPNO) has as its mission the overturning of wrongful convictions in Louisiana. A police officer involved in a wrongful conviction may ...

How do epidemiologists know how many people will get Covid-19?

Patrick Ball (2020). How do epidemiologists know how many people will get Covid-19? Significance. 09 April 2020. © 2020 The Royal Statistical Society.

Patrick Ball (2020). How do epidemiologists know how many people will get Covid-19? Significance. 09 April 2020. © 2020 The Royal Statistical Society.

The story of one document inside the AHPN

The beginnings are crucial in every step—as critical as the beginning of sound, life, hope, and justice. Here are some first steps from the AHPN (Archivo Histórico de la Policía Nacional). This is the story of Oficio Number COC/207-laov, a document that at first appears uninteresting. But this is not just any oficio*. This is one of the many documents that helped bring to trial the people responsible for the disappearance of Edgar Fernando García. A father, husband, son, and student, García was, like many people today, interested in changing his community for the better. (more…)

HRDAG and AHPN Launch Book Detailing Collaboration

Earlier this month, HRDAG and the Historic Archive of the National Police (AHPN) of Guatemala launched a book that represents a long-time collaboration between the two organizations. The book, “Una mirada al AHPN a partir de un studio de cuantitativo,” is, as the title states, a look at the Archive’s datasets via a quantitative study. Book authors are HRDAG executive director Megan Price and AHPN colleague Carolina López, with translations by Beatriz Vejarano. The book is available in Spanish and forthcoming in English. The book explains how HRDAG and the Archive worked together over a decade to gain insight into the police activities that ...

Ten Years and Counting in Guatemala

We have accomplished so much in the last 10 years at the Historical Archive of the National Police. And yet, despite the efforts, dedication, and commitment of each person who since 2006 has worked in the AHPN, we still can not say “mission accomplished.” In 10 years the environment at the Archive has changed so much and become so full of life. Where the building once sheltered unknown stories, over time some of those stories have been revealed. But Guatemala has a long way to go in letting the world get to know more deeply about the secrets within the documents stored there. Guatemalans and the rest of the world have a very important ...

HRDAG’s Year in Review: 2023

In 2023, HRDAG continued to learn from our partners about resilience and patience.

HRDAG’s Year in Review: 2022

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

Verdad al acecho (The Truth Is Stalking)

How Do We Know the Death Toll in Syria Is Accurate?

Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation

“Revolution Analytics will allow HRDAG to handle bigger data sets and leverage the power of R to accomplish this goal and uncover the truth.” Director of Research Megan Price is quoted

The World According to Artificial Intelligence (Part 2)

The World According to Artificial Intelligence – The Bias in the Machine (Part 2)

Artificial intelligence might be a technological revolution unlike any other, transforming our homes, our work, our lives; but for many – the poor, minority groups, the people deemed to be expendable – their picture remains the same.

Patrick Ball is interviewed: “The question should be, Who bears the cost when a system is wrong?”

Patrick Ball wins the Karl E. Peace Award

Patrick Ball won the Karl E. Peace Award for Outstanding Statistical Contributions for the Betterment of Society at the 2018 Joint Statistical Meeting.

Core Concepts

Inaccurate statistics can damage the credibility of human rights claims—and that's why we strive to ensure that statistics about human rights violations are generated with as much rigor and are as scientifically accurate as possible. But, what are the pitfalls leading to inaccuracy—when, where, and how do data become compromised? How are patterns biased by having only partial data? And what are the best scientific methods for collecting, managing, processing and analyzing data? Here are the data pitfalls that HRDAG has identified, as well as some of our approaches for meeting these challenges. We believe that human rights researchers must take ...

Setting the Record Straight on Predictive Policing and Race

William Isaac and Kristian Lum (2018). Setting the Record Straight on Predictive Policing and Race. In Justice Today. 3 January 2018. © 2018 In Justice Today / Medium.

William Isaac and Kristian Lum (2018). Setting the Record Straight on Predictive Policing and Race. In Justice Today. 3 January 2018. © 2018 In Justice Today / Medium.

Open Source Used in Fight for Human Rights

How Data Processing Uncovers Misconduct in Use of Force in Puerto Rico

In Puerto Rico, some people are more likely to be victims of police violence than others. HRDAG processed a flood of data to illuminate the racial bias.

Why It Took So Long To Update the U.N.-Sponsored Syria Death Count

In this story, Carl Bialik of FiveThirtyEight interviews HRDAG executive director Patrick Ball about the process of de-duplication, integration of databases, and machine-learning in the recent enumeration of reported casualties in Syria.
New reports of old deaths come in all the time, Ball said, making it tough to maintain a database. The duplicate-removal process means “it’s a lot like redoing the whole project each time,” he said.

Nonprofits Are Taking a Wide-Eyed Look at What Data Could Do

In this story about how data are transforming the nonprofit world, Patrick Ball is quoted. Here’s an excerpt: “Data can have a profound impact on certain problems, but nonprofits are kidding themselves if they think the data techniques used by corporations can be applied wholesale to social problems,” says Patrick Ball, head of the nonprofit Human Rights Data Analysis Group.
Companies, he says, maintain complete data sets. A business knows every product it made last year, when it sold, and to whom. Charities, he says, are a different story.
“If you’re looking at poverty or trafficking or homicide, we don’t have all the data, and we’re not going to,” he says. “That’s why these amazing techniques that the industry people have are great in industry, but they don’t actually generalize to our space very well.”

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.

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.

The Case Against a Golden Key

Patrick Ball (2016). The case against a golden key. Foreign Affairs. September 14, 2016.  ©2016 Council on Foreign Relations, Inc. All Rights Reserved.

Patrick Ball (2016). The case against a golden key. Foreign Affairs. September 14, 2016.  ©2016 Council on Foreign Relations, Inc. All Rights Reserved.

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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