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HRDAG Retreat 2014
Ten data nerds gathered in a large hilltop beach house to analyze counts of killings from several war-torn countries. The time was January 16-20, 2014, the place was near San Francisco, the agenda was packed, and I was excited to be there.
Having defended my dissertation at Carnegie Mellon University just days before, I had often supposed that my thesis on a generalization of
log-linear models for capture-recapture might serve little other purpose than to fill a line on my curriculum vitae. This perception faded after a mid-2013 discussion with Patrick convinced me that HRDAG's data challenges could easily be the best match to my research ...
HRDAG at Strata Conference 2014
Last Thursday, HRDAG co-founder and director of research Megan Price presented at Strata, the conference for data scientists and people who work with "big data." In her talk, she addressed the question of how we can know the actual number of conflict casualties in Syrian. Her short answer was, "We don't know." The longer answer was that we have a very good idea of how many conflict casualties have been reported, by several documentation groups, and that we're working on analyzing (more…)
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 ...
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, ...
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 ...
Update of Iraq and Syria Data in New Paper
This week The Statistical Journal of the IAOS published a new(ish) paper by Megan Price and Patrick Ball. The open-access paper, Selection bias and the statistical patterns of mortality in conflict, is a revisiting and updating of both the Iraq and Syria examples used in an earlier paper, Big Data, Selection Bias, and the Statistical Patterns of Mortality in Conflict, which was published last year inThe SAIS Review of International Affairs (JHU Press, 2014).
HRDAG believes that the concerns highlighted by these examples are important for a wide variety of audiences, including both the foreign policy readers reached by The SAIS Review and the ...
Celebrating Women in Statistics
In her work on statistical issues in criminal justice, Lum has studied uses of predictive policing—machine learning models to predict who will commit future crime or where it will occur. In her work, she has demonstrated that if the training data encodes historical patterns of racially disparate enforcement, predictions from software trained with this data will reinforce and—in some cases—amplify this bias. She also currently works on statistical issues related to criminal “risk assessment” models used to inform judicial decision-making. As part of this thread, she has developed statistical methods for removing sensitive information from training data, guaranteeing “fair” predictions with respect to sensitive variables such as race and gender. Lum is active in the fairness, accountability, and transparency (FAT) community and serves on the steering committee of FAT, a conference that brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems.
HRDAG Retreat 2016
What do you get when you bring seven statisticians, one quantitative political scientist, a writer, a computer scientist, and an administrator together for four days in a vacation rental on California’s Russian River? A lot of code, a technical paper and book chapter revised, another paper started, a great hike in the Redwoods, descriptions of food poisoning and crash landings in war zones, and a lot of talk about feelings.
Did I mention feelings? On the first evening of the annual retreat of the Human Rights Data Analysis Group, executive director Megan Price asked us to go around the room and share how we were feeling on arrival. The request ...
HRDAG – 25 Years and Counting
Today is a very special day for all of us at HRDAG. This is, of course, the 68th anniversary of the Universal Declaration of Human Rights—but this day also marks our 25th year of using statistical science to support the advancement of human rights.
It started 25 years ago, in December 1991, in San Salvador, when Patrick Ball was invited to work with the Salvadoran Lutheran Church to design a database to keep track of human rights abuses committed by the military in El Salvador. That work soon migrated to the NGO Human Rights Commission (CDHES). Fueled by thin beer and pupusas, Patrick dove into the deep world of data from human rights testimonies, ...
Always Learning
The data science field is always changing, which means that I'll always be learning.
New analysis of World War II Korean “comfort women” held by Japanese
There may have been more undocumented World War II-era Korean "comfort women" than known.
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 ...
Newsletters
2025
24 June, 2025 - Breaking through the noise with evidence
20 March, 2025 - Focus on HRDAG’s US-based projects
2024
10 December, 2024 - Witnessing Syria on Human Rights Day
29 November, 2024 - Giving thanks
20 November, 2024 - We are resolute
22 October, 2024 - Gaining insights into wrongful convictions
9 October, 2024 - A new tool for tracking police misconduct
18 September, 2024 - Evaluating gunshot detection technology
18 June, 2024 - A Pulitzer for an HRDAG partner
1 March, 2024 - Citations with impact
2023
21 December, 2023 - Evaluating tools to weed out discrimination
15 December, 2023 - ...
Colombia (eng)
Text in English
Assessing Claims of Declining Lethal Violence
In March 2007, HRDAG published a study entitled "Assessing Claims of Declining Lethal Violence in Colombia." The authors of this report evaluated assertions that violence in Colombia declined after the demobilization of paramilitaries. They showed that these claims rest both on the overinterpretation of unadjusted data and on unsound causal inferences. The authors concluded that multiple data sources are needed to estimate the true rates of violence in Colombia after demobilization and they suggest avenues for further research.
This research paper is also available in Spanish at ...
Happy Ada Lovelace Day!
As an organization that uses science to advocate for human rights, the goals and issues represented by Ada Lovelace Day are very near and dear to our hearts. Additionally, we are lucky to work with and be advised by some pretty kick-ass ladies in STEM (see our People page to learn more about these amazing women (and men)).
I brainstormed a list of women I could write about, as Finding Ada suggests we celebrate today by blogging about a STEM heroine. I considered Anita Borg (she has her own institute!), who advocated tirelessly for women in computer science. I thought about Sally Wyatt, keynote speaker and organizer of the fascinating workshop...
In Pursuit of Excellent Data Processing
With help from HRDAG, Roman Rivera built the data backbone for the Invisible Institute's Citizens Police Data Project.
Violence in Blue: The 2020 Update
HRDAG has refreshed a 2016 Granta article about homicides committed by police in the United States.
Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment
Laurel Eckhouse, Kristian Lum, Cynthia Conti-Cook and Julie Ciccolini (2018). Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment. Criminal Justice and Behavior. November 23, 2018. © 2018 Sage Journals. All rights reserved. https://doi.org/10.1177/0093854818811379
Laurel Eckhouse, Kristian Lum, Cynthia Conti-Cook and Julie Ciccolini (2018). Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment. Criminal Justice and Behavior. November 23, 2018. © 2018 Sage Journals. All rights reserved. https://doi.org/10.1177/0093854818811379
Reality and risk: A refutation of S. Rendón’s analysis of the Peruvian Truth and Reconciliation Commission’s conflict mortality study
Daniel Manrique-Vallier and Patrick Ball (2019). Reality and risk: A refutation of S. Rendón’s analysis of the Peruvian Truth and Reconciliation Commission’s conflict mortality study. Research & Politics, 22 March 2019. © Sage Journals. https://doi.org/10.1177/2053168019835628
Daniel Manrique-Vallier and Patrick Ball (2019). Reality and risk: A refutation of S. Rendón’s analysis of the Peruvian Truth and Reconciliation Commission’s conflict mortality study. Research & Politics, 22 March 2019. © Sage Journals. https://doi.org/10.1177/2053168019835628
Using Machine Learning to Help Human Rights Investigators Sift Massive Datasets
How we built a model to search hundreds of thousands of text messages from the perpetrators of a human rights crime.