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Uncertainty in COVID Fatality Rates
In this Granta article, HRDAG explains that neither the infectiousness nor the deadliness of the disease is set in stone.
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.
Violence in Blue: The 2020 Update
HRDAG has refreshed a 2016 Granta article about homicides committed by police in the United States.
R programming language demands the right use case
Megan Price, director of research, is quoted in this story about the R programming language. “Serious data analysis is not something you’re going to do using a mouse and drop-down boxes,” said HRDAG’s director of research Megan Price. “It’s the kind of thing you’re going to do getting close to the data, getting close to the code and writing some of it yourself.”
Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies
This Harvard Data Science Review article uses the least unreliable source of pandemic data: reported deaths.
Lies, Damned Lies and Official Statistics
This essay in the Health and Human Rights Journal addresses attempts to undermine Covid-19 data collection.
About Us
Who We Are
The Human Rights Data Analysis Group is a non-profit, non-partisan organization that applies rigorous science to the analysis of human rights violations around the world. We are a team with expertise in mathematical statistics, computer science, demography, and social science. We are non-partisan—we do not take sides in political or military conflicts, nor do we advocate any particular political party or government policy. However, we are not neutral: we are always in favor of human rights. We support the protections established in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and ...
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 ...
Donate with a Donor Advised Fund
To donate to Human Rights Data Analysis Group via a Donor Advised Fund, you should follow three steps:
In your Donor Advised Fund portal, look up our fiscal sponsor Community Partners using the Tax ID 95-4302067. It is important to use the tax ID, not the name, as there are many organizations with the same or similar names.
Once you have selected Community Partners, look for a way to customize the donation or donate to a specific project that allows you to write-in the name of a fund or project. Then please write in "Human Rights Data Analysis Group."
Please email info@hrdag.org to let us know that you have sent the donation so we can make ...
Historic verdict in Guatemala—Gen.Efraín Ríos Montt found guilty
I've been working with various projects in Guatemala to document mass violence since 1993, so in 2011, when Claudia Paz y Paz asked me to revisit the analysis I did for the Commission for Historical Clarification examining the differential mortality rates due to homicide for indigenous and non-indigenous people in the Ixil region, I was delighted. We have far better data processing and statistical methods than we had in 1998, plus much more data. I think the resulting analysis is a conservative lower bound on total homicides of indigenous people. (more…)
El Salvador
Some of the earliest large-scale human rights information projects happened in El Salvador. One was developed by Patrick Ball at the Salvadoran non-governmental Human Rights Commission, also known as Comision de Derechos Humanos de El Salvador (CDHES-ng). Between 1977 and 1990, more than 9,000 testimonies were taken in an effort to document the nature and scope of the bloody conflict between the army and the Farabundo Marti National Liberation Front (FMLN). Starting in 1991, Patrick worked with CDHES staff to organize the information in an early computer database. They linked reported human rights violations with the career structures of individual ...
HRDAG and the Trial of José Efraín Ríos Montt
At some point in the next week, HRDAG's executive director, Patrick Ball, will be providing expert testimony in the trial of General José Efraín Ríos Montt, the de-facto president of Guatemala in 1982-1983. Gen. Ríos is being tried on charges of genocide and crimes against humanity. (His military intelligence director, Gen. Mauricio Rodríguez Sánchez is also on trial.) Patrick will testify on approximately April 15-18, 2013, and he may begin as early as this Friday, April 12.
The trial opened on March 20, 2013, in the Supreme Court building in Guatemala City. According to an Open Society Justice Initiative blogpost covering the event, the ...
Multiple Systems Estimation: The Basics
Multiple systems estimation, or MSE, is a family of techniques for statistical inference. MSE uses the overlaps between several incomplete lists of human rights violations to determine the total number of violations. In this blogpost, and four more to follow, I’ll answer both conceptual and practical questions about this important method. (In posts to follow, questions that refer to specific statistical procedures or debates will be marked, "In depth.") (more…)
Data coding and inter-rater reliability (IRR)
Data coding is the process of converting unstructured information, such as a narrative testimony, into discrete facts such as names and roles of actors (victims, witnesses, perpetrators) in crimes, as well as the date and place of act. Data coding must not discard or distort information. When more than one person is identifying, classifying and counting the elements reported in a qualitative source, the results of what they find may differ slightly based on each individual's interpretation and care in doing the coding. These differences can be measured by measuring IRR (inter-rater reliability). We give the same source document to several coders and ...
String matching for governorate information in unstructured text
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Sri Lanka
Ten years after the war ended in Sri Lanka, we still don’t know to the nearest ten thousand how many people perished. The estimates for the death toll for the last five months of the war alone vary between 7000 and 147,000. In 2011, the UN said it thought approximately 40,000 civilians had died; then in 2012 an internal UN report estimated it was at least 70,000. Population data from World Bank and UN sources indicated that more than 100,000 Tamils living in the conflict areas in the north have not returned home after the war.
HRDAG has provided technical assistance to a broad range of non-governmental human rights organizations in Sri ...
HRDAG Welcomes New Staff, Interns and Fellow
HRDAG is delighted to announce five additions to our team: one new staff member, three summer interns, and one fellow.
Skoll World Forum 2018
Illuminating Data's Dark Side: Big data create conveniences, but we must consider who designs these tools, who benefits from them, and who is left out of the equation.
How Causal Analysis Confirmed Impact of Cash Bail on Verdicts
Causal inference methods show that for indigent clients, money bail increases their likelihood of a guilty conviction.
Documents of war: Understanding the Syrian Conflict
Megan Price, Anita Gohdes, and Patrick Ball. 2015. Significance 12, no. 2 (April): 14–19. doi: 10.1111/j.1740-9713.2015.00811.x. © 2015 The Royal Statistical Society. All rights reserved. [online abstract]