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Liberian TRC Data and Data Dictionary

The files linked on this page contain the data used in the calculations presented in Benetech's report to the Liberian Truth and Reconciliation Commission entitled "Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission." In accordance with Benetech's Memorandum of Understanding with the TRC, these data are published on the Internet so that others can use the material to replicate our findings and continue research on past human rights violations in Liberia. In order to protect the privacy of the people who suffered, the information in the files below contains no personal identifying information about the victims or ...

Podcast: Dr. Patrick Ball on Using Statistics to Uncover Truth

Dr. Patrick Ball recently visited the Plutopia News Network podcast for a wide-ranging, inspiring conversation about his work for the Human Rights Data Analysis Group. Patrick spoke about how he first discovered human rights work during his time in El Salvador with the Peace Brigades International.  That led to his ongoing work as a statistician and computer programmer working to assess and analyze human rights violations. He also unpacked some common statistical techniques used by researchers at Human Rights Data Analysis Group, such as multiple systems estimation, which uses multiple different datasets to gain insights into the data we don't ...

Connect with HRDAG

If you’d like to stay informed about HRDAG events, blogposts, and news, connect with us on Twitter, Facebook or through our RSS feed. We also have a LinkedIn page. You may contact us directly via email at info @ hrdag.org. A note for persons in search of assistance with specific human rights cases: We are very sorry for your troubles and your suffering; however, HRDAG does not take on casework. If you need help with a human rights case, you might consider requesting it from the International Committee of the Red Cross (www.icrc.org). Photo: U.S. National Archives

Rise of the racist robots – how AI is learning all our worst impulses

“If you’re not careful, you risk automating the exact same biases these programs are supposed to eliminate,” says Kristian Lum, the lead statistician at the San Francisco-based, non-profit Human Rights Data Analysis Group (HRDAG). Last year, Lum and a co-author showed that PredPol, a program for police departments that predicts hotspots where future crime might occur, could potentially get stuck in a feedback loop of over-policing majority black and brown neighbourhoods. The program was “learning” from previous crime reports. For Samuel Sinyangwe, a justice activist and policy researcher, this kind of approach is “especially nefarious” because police can say: “We’re not being biased, we’re just doing what the math tells us.” And the public perception might be that the algorithms are impartial.


New Research Shows Community Engagement Improves the Validity and Reliability of Artificial Intelligence

Community involvement can improve the validity and reliability of artificial intelligence (AI), argue HRDAG Executive Director Dr. Megan Price and Citizens and Technology Lab founder Dr. J. Nathan Matias in new research published this week.  AI is transforming the way scientists analyze complex data. Computer scientists, social scientists, and other professionals are using AI to parse and understand datasets related to healthcare, policing, education, insurance, and much more. But while AI may help researchers, computers alone may miss important issues.  “How Public Involvement Can Improve the Science of Artificial Intelligence,” ...

Partners

How we work with partners is how we relate to the whole human rights community. We work with human rights advocates and defenders to support their goals by complementing their substantive expertise with our technical expertise. To date, partners have included truth commissions, international criminal tribunals, United Nations missions, and non-governmental human rights organizations on five continents. Here are a few stories that illustrate how we work with our partners: HRDAG partner stories: Quantifying Police Misconduct in Louisiana (2023) Scraping for Pattern: Protecting Immigrant Rights in Washington State (2022) Police Violence ...

Data on Kosovo Killings

The data on killings in Kosovo are in four files. All of the files are comma-delimited ASCII. The fields in each file are described below. If you use these data on Kosovo killings, please cite them with the following citation, as well as this note: “These are convenience sample data, and as such they are not a statistically representative sample of events in this conflict.  These data do not support conclusions about patterns, trends, or other substantive comparisons (such as over time, space, ethnicity, age, etc.).” Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovich, and Jana Asher. (2002). AAAS/ABA-CEELI/Human Rights Data ...

Police Accountability in Chicago: from Data Dump to Usable Data

HRDAG is helping the Invisible Institute turn their windfall of raw data about police misconduct into data that can be analyzed.

Building Capacity in Colombia: Truth and Reconciliation

The datasets contributed by 30+ organizations do a wonderful job of tallying the violence that was observed—but they don’t account for the violence that nobody witnessed or documented.

Police Violence in Puerto Rico: Flooded with Data

Kilómetro Cero is making a comparison of police killings in Puerto Rico and police killings in the non-territorial United States, and HRDAG is helping to organize the data.

Scraping for Pattern: Protecting Immigrant Rights in Washington State

With HRDAG's help, the University of Washington Center for Human Rights team has been able to analyze the scraped text and search for key words such as “jail” in order to gain insight into where immigration arrests are being made.

Quantifying Police Misconduct in Louisiana

HRDAG contributes to the project by helping to classify, filter, extract, and standardize the records so that they can be useful in the database.

Pulling Back the Curtain on LLMs & Policing Data

Structural Zero Issue 04 September 30, 2025 Artificial intelligence is transforming how we work with information. At HRDAG, that changes how I do my job every day. My most recent project was using LLMs to explore and parse vast quantities of data about police abuses in California. In this newsletter, I’ll pull back the curtain on that work. I’ll describe how a diverse coalition gathered more than a million pages of documents about police misconduct in California and how LLMs helped us make sense of them in ways that wouldn’t have been possible before the advent of this technology. In addition to understanding my work, I hope that this ...

How we make sure that nobody is counted twice: A peek into HRDAG's record de-duplication

HRDAG is currently evaluating the quality and completeness of the Kosovo Memory Book of the Humanitarian Law Center (HLC) in Belgrade, Serbia. The objective of the Kosovo Memory Book (KMB) is to commemorate every single person who fell victim to armed conflict in Kosovo from 1998 to 2000, either through death or disappearance. While building and reviewing their database, one of the things that HLC has to do is “record linkage,” a process also known as “matching.” Matching determines whether two records are the same people (“a match”) or different people (“a non-match”). Matching helps to identify whether two existing records refer ...

How we go about estimating casualties in Syria—Part 1

I spent the two weeks over Easter working with Patrick and Megan in San Francisco, trying to figure out a strategy of how best to estimate the number of casualties the Syrian civil war has claimed in the past two years. In January, HRDAG published a report on the number of fully identified casualties reported in the Syrian Arab Republic between March 2011 and November 2012. The number of de-duplicated records of killings for this period was 59,648, a number that is likely to be an undercount since we know that many incidences of lethal violence in conflict go unreported, and that the unreported cases are not missing at random. (more…)

BJS Report on Arrest-Related Deaths: True Number Likely Much Greater

(This post is co-authored by Patrick Ball and Kristian Lum.) Today the Bureau of Justice Statistics (BJS) released a report on their effort to document “all deaths that occur during the process of arrest in the United States.” The analysis estimates that the Arrest-Related Deaths (ARD) program covers only 34-49% of these deaths. A parallel program by the FBI (the Supplementary Homicide Reports, SHR) is estimated to cover approximately the same proportion of deaths. Even taking into consideration both programs, 28% of all police homicides remain unreported. In order to estimate the total number of homicides that appear on neither the ARD or ...

Herb Spirer, 1925 – 2018

Herb led and mentored a generation of statisticians working in human rights.

Primer to Inform Discussions about Bail Reform

The primer addresses what pretrial risk assessment is and what the research supports.

RustConf 2019, and systems programming as a data scientist

It could make sense to use Rust as a data journalist for in-browser computations, and other thoughts from RustConf.

.Rproj Considered Harmful

We aim to produce code that is clear, replicatable across machines and operating systems, and that leaves an easy-to-follow audit trail.

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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