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Publications
From time to time, we issue our own scientific reports that focus on the statistical aspects of the data analysis we have done in support of our partners. These reports are non-partisan, and they leave the work of advocacy to our partners.
You can search our publications by keyword or by year.
Analyzing patterns of violence in Colombia using more than 100 databases
The institution’s objectives were to learn the truth about what happened during the armed conflict.
Donate with Cryptocurrency
Help HRDAG use data science to work for justice, accountability, and human rights. We are nonpartisan and nonprofit, but we are not neutral; we are always on the side of human rights.
Cryptocurrency donations to 501(c)3 charities receive the same tax treatment as stocks. Your donation is a non-taxable event, meaning you do not owe capital gains tax on the appreciated amount and can deduct it on your taxes. This makes Bitcoin and other cryptocurrency donations one of the most tax efficient ways to support us.
We are a team of experts in machine learning, applied and mathematical statistics, computer science, demography, and social science, and ...
How Review of Police Data Verified Neglect of Missing Black Women
Sloppy recordkeeping by Chicago police has compromised missing persons cases. HRDAG is working with Pulitzer Prize-winning Invisible Institute to find justice for the missing.
Primer to Inform Discussions about Bail Reform
The primer addresses what pretrial risk assessment is and what the research supports.
Identifiers of Detained Children Have Implications for Data Security and Estimation
Identifiers being sequential could make possible estimations of the population of detained children.
The Demography of Conflict-Related Mortality in Timor-Leste (1974-1999): Empirical Quantitative Measurement of Civilian Killings, Disappearances & Famine-Related Deaths
Romesh Silva and Patrick Ball. “The Demography of Conflict-Related Mortality in Timor-Leste (1974-1999): Empirical Quantitative Measurement of Civilian Killings, Disappearances & Famine-Related Deaths” In Statistical Methods for Human Rights, J. Asher, D. Banks and F. Scheuren, eds., Springer (New York) (2007)
Our Copyright Policy
We have specified "Some Rights Reserved" on our website, instead of the more conventional "All Rights Reserved." This is because some of our web content is covered by a Creative Commons license, which means that it may be copied and even re-purposed, with some stipulations. We have made this decision because HRDAG wants to contribute to the digital commons, defined by Creative Commons as "a pool of content that can be copied, distributed, edited, remixed, and built upon, all within the boundaries of copyright law."
Our Creative Commons License
We are using the Attribution-NonCommercial-ShareAlike license, also known as the BY-NC-SA license. Here is ...
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…)
Comments to the article ‘Is Violence Against Union Members in Colombia Systematic and Targeted?
Megan Price and Daniel Guzmán. “Comments to the article ‘Is Violence Against Union Members in Colombia Systematic and Targeted?’” 28 May 2010. (Available in Spanish) © 2010 Benetech. Creative Commons BY-NC-SA.
Welcoming Our 2021-2022 Human Rights and Data Science Intern
Larry Barrett has joined HRDAG as a Human Rights and Data Science Intern until February, 2022.
HRDAG Welcomes Two New Scholars
Paula Amado has joined as a Research Scholar, and María Juliana Durán Fedullo has joined as a Visiting Scholar.
Clustering and Solving the Right Problem
In our database deduplication work, we’re trying to figure out which records refer to the same person, and which other records refer to different people.
We write software that looks at tens of millions of pairs of records. We calculate a model that assigns each pair of records a probability that the pair of records refers to the same person. This step is called pairwise classification.
However, there may be more than just one pair of records that refer to the same person. Sometimes three, four, or more reports of the same death are recorded.
So once we have all the pairs classified, we need to decide which groups of records refer to the ...
Using MSE to Estimate Unobserved Events
At HRDAG, we worry about what we don't know. Specifically, we worry about how we can use statistical techniques to estimate homicides that are not observed by human rights groups. Based on what we've seen studying many conflicts over the last 25 years, what we don't know is often quite different from what we do know.
The technique we use most often to estimate what we don't know is called "multiple systems estimation." In this medium-technical post, I explain how to organize data and use three R packages to estimate unobserved events.
Click here for Computing Multiple Systems Estimation in R.
Videos
Here is a collection of videos that profile projects or features us at speaking engagements. Please get in touch with us if you have any HRDAG video or photography.
Contact Us
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Employment with HRDAG
Please keep in touch by signing up for our newsletters and following us on Twitter @hrdag or Mastodon.
If you do not see a job listed here, please do not send your CV or résumé, as we do not file or save them, and we will only have to send you a sad “no thank you” letter.
Volunteering with HRDAG
Are you interested in volunteering your time to the Human Rights Data Analysis Group? We’re very flattered—but at this time we’re ...
Funding
HRDAG’s funding comes from private, international donors: the John D. and Catherine T. MacArthur Foundation, Open Society Foundations, an anonymous U.S.-based private foundation, Ford Foundation, The National Endowment for Democracy and individual donors. This funding supports both specific projects, as well as our scientific work generally in human rights data analysis.
For the entirety of its existence, HRDAG has been a project of non-profit organizations, first at the American Association for the Advancement of Science (AAAS), and then at Benetech, a non-profit Silicon Valley technology company. In February 2013, HRDAG became ...
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.
How We Choose Projects
For more than 20 years, HRDAG has been carving out a niche in the international human rights movement. We know what we’re good at and what we’re not qualified to do. We know what quantitative questions we think are important for the community, and we know what we like to do. These preferences guide us as we consider whether to take on a project. We’re scientists, so our priorities will come as no surprise. We like to stick to science (not ideology), avoid advocacy, answer quantifiable questions, and increase our scientific understanding.
While we have no hard-and-fast rules about what projects to take on, we organize our deliberation ...
How We Choose Projects
For more than 20 years, HRDAG has been carving out a niche in the international human rights movement. We know what we’re good at and what we’re not qualified to do. We know what quantitative questions we think are important for the community, and we know what we like to do. These preferences guide us as we consider whether to take on a project. We’re scientists, so our priorities will come as no surprise. We like to stick to science (not ideology), avoid advocacy, answer quantifiable questions, and increase our scientific understanding.
While we have no hard-and-fast rules about what projects to take on, we organize our deliberation ...