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Applications of Multiple Systems Estimation in Human Rights Research

Lum, Kristian, Megan Emily Price, and David Banks. 2013. The American Statistician 67, no. 4: 191-200. doi: 10.1080/00031305.2013.821093. © 2013 The American Statistician. All rights reserved. [free eprint may be available].

A Human Rights Breakthrough in Guatemala

Letter from the Executive Director

Dear Friends, This has been quite a year, and I don’t just mean the recent political events in the United States, Europe and the Middle East. Thanks to your ongoing support, HRDAG has a number of accomplishments to be proud of this year: Patrick’s testimony in the trial of Hissene Habré for crimes against humanity was cited by the judges three times in their determination of guilt. We launched a book describing ten years of collaborative work with the Historic Archive of the National Police in Guatemala. We contributed quantitative analyses to Amnesty International’s report on deaths in Syrian custody, and published an ...

New publication in BIOMETRIKA

New paper in Biometrika, co-authored by HRDAG's Kristian Lum and James Johndrow: Theoretical limits of microclustering in record linkage.

A Model to Estimate SARS-CoV-2-Positive Americans

We’ve built a model for estimating the true number of positives, using what we have determined to be the most reliable datasets—deaths.

How Many People Will Get Covid-19?

HRDAG has authored two articles in Significance that add depth to discussions around infection rates.

War and Illness Could Kill 85,000 Gazans in 6 Months

HRDAG director of research Patrick Ball is quoted in this New York Times article about a paper that models death tolls in Gaza.

Innocence Discovery Lab – Harnessing large language models to surface data buried in wrongful conviction case documents

The Wrongful Conviction Law Review

The recent advent of commercial artificial intelligence (AI), especially in natural language processing (NLP), introduces transformative possibilities for wrongful conviction research. NLP, a pivotal branch of AI that forms the basis for Large Language Models (LLMs), enables computers to interpret human language with a nuanced understanding. This technological advancement is particularly valuable for analyzing the complex language found in case documents associated with wrongful convictions. This paper explores the effectiveness of LLMs in analyzing and extracting data from case documents collected by the Innocence Project New Orleans and the National Registry of Exonerations. The diverse and comprehensive nature of these datasets makes them ideal for assessing the capabilities of LLMs. The findings of this study advance our understanding of how LLMs can be utilized to make wrongful conviction case documents easily accessible by automating the extraction of relevant data.

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. 31 May, 2024. https://doi.org/10.29173/wclawr112. ©  2024 Ayyub Ibrahim, Huy Dao, Tarak Shah.

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 ...

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 ...

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. REVOLUTION ANALYTICS Press release February 4, 2014 Link to press release Back to Press Room

Coming soon: HRDAG 2019 Year-End Review

The online version of the 2019 Year-End Review will appear in January 2020.            

Get Involved/Donate

Donating to HRDAG Thank you for your interest in making a donation to the Human Rights Data Analysis Group to help us use science to support our partners in the human rights world. You can make a donation by credit card on the Community Partners® Network for Good page. HRDAG is a "project of Community Partners," and right below  the section on payment information, you'll be able to select "Human Rights Data Analysis Group" from a drop-down menu. (On most browsers, if you use this link, HRDAG will be pre-selected on the drop-down menu.) This transaction will appear on your credit card statement as "Network for Good." If you donate by check, ...

Las cifras de la CVR en el 2019

Las estimaciones se estratificaron por ubicación y perpetrador.

Tech Corner

The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. You can browse by Category or scroll to view find all articles listed.

Data Security or Death

Por qué los datos casan con la hipótesis de que hubo genocidio

500 Tamils forcibly disappeared in three days, after surrendering to army in 2009

A new study has estimated that over 500 Tamils were forcibly disappeared in just three days, after surrendering to the Sri Lankan army in May 2009.

The study, carried out by the Human Rights Data Analysis Group and the International Truth and Justice Project, based on compiled lists which identify those who were known to have surrendered, estimated that 503 people had been forcibly disappeared between the 17th– 19th of May 2009.

Trove to IPFS

IPFS is a peer-to-peer storage network that promotes the resiliency, immutability, and auditability of data. This README explains code written to shepherd the files from janky external USB drives to IPFS.

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 ...

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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