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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 ...

About HRDAG

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 other international human rights treaties and instruments.

Reflections: A Meaningful Partnership between HRDAG and Benetech

I joined the Benetech Human Rights Program at essentially the same time that HRDAG did, coming to Benetech from years of analyzing data for large companies in the transportation, hospitality and retail industries. But the data that HRDAG dealt with was not like the data I was familiar with, and I was fascinated to learn about how they used the data to determine "who did what to whom." Although some of the methodologies were similar to what I had experience with in the for-profit sector, the goals and beneficiaries of the analyses were very different. At Benetech, I was initially predominantly focused on product management for Martus, a free ...

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 - ...

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…)

Cuentas y mediciones de la criminalidad y de la violencia

Exploración y análisis de los datas para comprender la realidad. Patrick Ball y Michael Reed Hurtado. 2015. Forensis 16, no. 1 (July): 529-545. © 2015 Instituto Nacional de Medicina Legal y Ciencias Forenses (República de Colombia).


Data ‘hashing’ improves estimate of the number of victims in databases

But while HRDAG’s estimate relied on the painstaking efforts of human workers to carefully weed out potential duplicate records, hashing with statistical estimation proved to be faster, easier and less expensive. The researchers said hashing also had the important advantage of a sharp confidence interval: The range of error is plus or minus 1,772, or less than 1 percent of the total number of victims.

“The big win from this method is that we can quickly calculate the probable number of unique elements in a dataset with many duplicates,” said Patrick Ball, HRDAG’s director of research. “We can do a lot with this estimate.”


HRDAG Drops Dropbox

On Wednesday, April 9, the file hosting service Dropbox announced the addition of Condoleezza Rice, former U.S. National Security Advisor and Secretary of State, to their Board of Directors, citing the need for “a leader who could help us expand our global footprint.” In response to this announcement, HRDAG requested (and rapidly received) a refund for our recent purchase of Dropbox for Business, and will drop the use of their service entirely. Patrick Ball, HRDAG’s Executive Director stated: “As a human rights organization, we find Condoleezza Rice's complicity in the serious human rights abuses of the Bush administration very worrying. ...

HRDAG and #GivingTuesday 2018

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Data Mining on the Side of the Angels

“Data, by itself, isn’t truth.” How HRDAG uses data analysis and statistical methods to shed light on mass human rights abuses. Executive director Patrick Ball is quoted from his speech at the Chaos Communication Congress in Hamburg, Germany.


Speaking Truth to Power in Chad

Our hearty congratulations to our partners at Human Rights Watch (HRW), Association des Victimes des Crimes du Régime de Hissène Habré (AVCRP), Association Tchadienne pour la Promotion et la Défense des Droits de l’Homme (PDDH), and the Fédération Internationale des ligues des Droits de l’Homme (FIDH) on today's launch of "La Plaine des mortes: Le Tchad des Hissène Habré, 1982-1990." This book chronicles the alleged human rights abuses of Hissène Habré, the president of Chad between 1982 and 1990. It is the culmination of more than 13 years of investigations, documentation and research focused on uncovering the nature of political ...

Data Mining on the Side of the Angels

"Data, by itself, isn’t truth." How HRDAG uses data analysis and statistical methods to shed light on mass human rights abuses. Executive director Patrick Ball is quoted from his speech at the Chaos Communication Congress in Hamburg, Germany. WIRED | THREAT LEVEL John Borland December 29, 2013 Link to story in WIRED

Even if there’s a ceasefire, thousands of deaths projected in Gaza over next 6 months

In this NPR story, HRDAG’s Patrick Ball comments on first-of-its-kind projections.


Condenan a responsables de desaparición de García


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Help Us Advance Justice And Human Rights Your donations enable HRDAG to use data science and help our partners answer important questions about human rights and patterns of mass violence. Or Write a Check If you prefer to donate by check, please make it payable to: “Community Partners for HRDAG” Mail it to: Community Partners P. O. Box 741265 Los Angeles, CA 90074-1265

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


Low-risk population size estimates in the presence of capture heterogeneity

James Johndrow, Kristian Lum and Daniel Manrique-Vallier (2019). Low-risk population size estimates in the presence of capture heterogeneity. Biometrika, asy065, 22 January 2019. © 2019 Biometrika Trust. https://doi.org/10.1093/biomet/asy065

James Johndrow, Kristian Lum and Daniel Manrique-Vallier (2019). Low-risk population size estimates in the presence of capture heterogeneityBiometrika, asy065, 22 January 2019. © 2019 Biometrika Trust. https://doi.org/10.1093/biomet/asy065


Welcoming Our 2019 Visiting Analyst

Valentina Rozo Ángel has joined our team as our new visiting analyst this fall.

Guatemala 2011 – Developing Sampling Methods to Help Convict Perpetrators

During 36 years of internal armed conflict, which ended in 1996, an estimated 200,000 Guatemalans were killed or disappeared. HRDAG researchers returned to Guatemala in 2006 to analyze a sample of the estimated 46 million records discovered in the archive of the now disbanded Guatemalan National Police. HRDAG statisticians Daniel Guzmán, Romesh Silva, Patrick Ball and Tamy Guberek, together with Paul Zador and Gary Shapiro of the American Statistical Association, developed a multi-stage random sample of the archive to get a clearer picture of its contents. Sampled documents shed light on the disappearance of Guatemalan union leader Edgar Fernando ...

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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