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Shots fired: Can technology really keep us safe from gunfire?

Bailey Passmore + Larry Barrett. 2025. Shots fired: Can technology really keep us safe from gunfire? Significance, Volume 22, Issue 4, July 2025, Pages 34–37. 27 May 2025. © Royal Statistical Society 2025. https://doi.org/10.1093/jrssig/qmaf042

Bailey Passmore + Larry Barrett. 2025. Shots fired: Can technology really keep us safe from gunfire? Significance, Volume 22, Issue 4, July 2025, Pages 34–37. 27 May 2025. © Royal Statistical Society 2025. https://doi.org/10.1093/jrssig/qmaf042


Bangladesh

In December 2006, Human Rights Watch (HRW) issued a report documenting torture and unlawful killings committed by Bangladesh's Rapid Action Battalion (RAB), an elite anti-crime and anti-terrorism force. According to HRW, many of the deaths for which RAB is responsible resulted from summary executions or extreme physical abuse. The statistical analysis presented in the report, "Judge, Jury, and Death: Torture and Executions by Bangladesh's Elite Security Force," was conducted by Romesh Silva, a statistician who worked within the Benetech Human Rights Program at the time, and who now works with HRDAG. While researching these incidents, HRW compiled ...

Data-Driven Efforts to Address Racial Inequality

From the article: “As we seek to advance the responsible use of data for racial injustice, we encourage individuals and organizations to support and build upon efforts already underway.” HRDAG is listed in the Data Driven Activism and Advocacy category.


Justice Unknown, Justice Unsatisfied? Bosnian NGOs Speak about the International Criminal Tribunal for the Former Yugoslavia.

Kristen Cibelli and Tamy Guberek. “Justice Unknown, Justice Unsatisfied? Bosnian NGOs Speak about the International Criminal Tribunal for the Former Yugoslavia.” A project of Education and Public Inquiry and International Citizenship at Tufts University. December, 2000.


Machine learning is being used to uncover the mass graves of Mexico’s missing

“Patrick Ball, HRDAG’s Director of Research and the statistician behind the code, explained that the Random Forest classifier was able to predict with 100% accuracy which counties that would go on to have mass graves found in them in 2014 by using the model against data from 2013. The model also predicted the counties that did not have mass hidden graves found in them, but that show a high likelihood of the possibility. This prediction aspect of the model is the part that holds the most potential for future research.”


Reflections: HRDAG Was Born in Washington

I began working with HRDAG in the summer of 2001 before it was ever even called HRDAG. In fact, not intended as a boast, I think I’m responsible for coming up with the name. After contracting with Dr. Patrick Ball for a time writing the Analyzer data management platform, I left New York City and joined him in Washington, DC, at AAAS in 2002. Soon after starting, Patrick decided to establish an identity for this new team, consisting mainly of myself, Miguel Cruz and a handful of field relationships. We discussed what to name it briefly in the AAAS Science & Policy break room, which at the time, being in the mind of unclever descriptive naming ...

PredPol amplifies racially biased policing

100x100-micHRDAG associate William Isaac is quoted in this article about how predictive policing algorithms such as PredPol exacerbate the problem of racial bias in policing.


Film: Solving for X

Solving for X documents Patrick's team as they travel to Guatemala, Kosovo, and Liberia, helping human rights supporters apply sophisticated computer analysis to human rights events.

Innocence Discovery Lab – Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents

Ayyub Ibrahim, Huy Dao, and Tarak Shah (2024). “Innocence Discovery Lab - Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents." The Wrongful Conviction Law Review 5 (1):103-25. https://doi.org/10.29173/wclawr112. 31 May, 2024. Copyright (c) 2024 Ayyub Ibrahim, Huy Dao, Tarak Shah. Creative Commons Attribution 4.0 International License.

Ayyub Ibrahim, Huy Dao, and Tarak Shah (2024). “Innocence Discovery Lab – Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents.” The Wrongful Conviction Law Review 5 (1):103-25. https://doi.org/10.29173/wclawr112. 31 May, 2024. Copyright (c) 2024 Ayyub Ibrahim, Huy Dao, Tarak Shah. Creative Commons Attribution 4.0 International License.


The World According to Artificial Intelligence (Part 1)

The World According to Artificial Intelligence: Targeted by Algorithm (Part 1)

The Big Picture: The World According to AI explores how artificial intelligence is being used today, and what it means to those on its receiving end.

Patrick Ball is interviewed: “Machine learning is pretty good at finding elements out of a huge pool of non-elements… But we’ll get a lot of false positives along the way.”


New Study Argues War Deaths Are Often Overestimated


Happy Hacking

From my first introduction to the HRDAG community at the annual retreat it was clear to me that mentorship is an organizational priority and that the contributions of interns are valued. Much of my first couple weeks as a summer intern at HRDAG were spent familiarizing myself with Patrick’s paradigm for principled data processing. At the same time, I was learning the skills and tricks (bash, make, vim, git) that promote an effortless programming workflow, a pursuit that Patrick calls “sharpening the saw” (just like in programming, you can cut down a tree with a dull blade, but your life will be much easier if you take the time to sharpen ...

New report published on 500 Tamils missing while in Army custody

The International Truth and Justice Project and HRDAG have published a report on 500 Tamils who disappeared while in Army custody in Sri Lanka in 2009.

The report is titled “How many people disappeared on 17-19 May 2009 in Sri Lanka?” and Patrick Ball, director of research at HRDAG, is the lead author.


Counting The Dead: How Statistics Can Find Unreported Killings

Ball analyzed the data reporters had collected from a variety of sources – including on-the-ground interviews, police records, and human rights groups – and used a statistical technique called multiple systems estimation to roughly calculate the number of unreported deaths in three areas of the capital city Manila.

The team discovered that the number of drug-related killings was much higher than police had reported. The journalists, who published their findings last month in The Atlantic, documented 2,320 drug-linked killings over an 18-month period, approximately 1,400 more than the official number. Ball’s statistical analysis, which estimated the number of killings the reporters hadn’t heard about, found that close to 3,000 people could have been killed – more than three times the police figure.

Ball said there are both moral and technical reasons for making sure everyone who has been killed in mass violence is counted.

“The moral reason is because everyone who has been murdered should be remembered,” he said. “A terrible thing happened to them and we have an obligation as a society to justice and to dignity to remember them.”


Updated Casualty Count for Syria

Today the United Nations Office of the High Commissioner for Human Rights (OHCHR) released an HRDAG-prepared report that describes and tallies documented killings in the Syrian Arab Republic from the beginning of the conflict in March 2011 through April 2014. (The report is here.) This is our third report for the UN on the Syrian conflict, and it is an update of work we published in January 2013 and June 2013. The report, Updated Statistical Analysis of Documentation of Killings in the Syrian Arab Republic, concludes that approximately 191,000 identifiable victims have been reported in the period covered (March 2011 – April 2014). (more…)

Always Learning

The data science field is always changing, which means that I'll always be learning.

Lies, Damned Lies, and “Official” Statistics

Megan Price and Maria Gargiulo (2021). Lies, Damned Lies, and "Official" Statistics. Health and Human Rights Journal. 24 June, 2021. © Health and Human Rights Journal.

Megan Price and Maria Gargiulo (2021). Lies, Damned Lies, and “Official” Statistics. Health and Human Rights Journal. 24 June, 2021. © Health and Human Rights Journal.


How many people are infected with Covid-19?

Tarak Shah (2020). How many people are infected with Covid-19? Significance. 09 April 2020. © 2020 The Royal Statistical Society.

Tarak Shah (2020). How many people are infected with Covid-19? Significance. 09 April 2020. © 2020 The Royal Statistical Society.


Open Source Summit 2018

On October 23, 2018, Patrick Ball keynoted at the Open Source Summit in Edinburgh, Scotland.

The Profile of Human Rights Violations in Timor-Leste, 1974-1999

Romesh Silva and Patrick Ball. “The Profile of Human Rights Violations in Timor-Leste, 1974-1999″, a Report by the Benetech Human Rights Data Analysis Group to the Commission on Reception, Truth and Reconciliation. 9 February 2006.


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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