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How statistics lifts the fog of war in Syria

Megan Price, director of research, is quoted from her Strata talk, regarding how to handle multiple data sources in conflicts such as the one in Syria. From the blogpost:
“The true number of casualties in conflicts like the Syrian war seems unknowable, but the mission of the Human Rights Data Analysis Group (HRDAG) is to make sense of such information, clouded as it is by the fog of war. They do this not by nominating one source of information as the “best”, but instead with statistical modeling of the differences between sources.”


Data Analysis By Benetech Scientists Aid in Arrest of Former Guatemalan Police Chief


The Panic Button: High-Tech Protection for Human Rights Investigators


New UN report counts 191,369 Syrian-war deaths — but the truth is probably much, much worse

Amanda Taub of Vox has interviewed HRDAG executive director about the UN Office of the High Commissioner of Human Right’s release of HRDAG’s third report on reported killings in the Syrian conflict.
From the article:
Patrick Ball, Executive Director of the Human Rights Data Analysis Group and one of the report’s authors, explained to me that this new report is not a statistical estimate of the number of people killed in the conflict so far. Rather, it’s an actual list of specific victims who have been identified by name, date, and location of death. (The report only tracked violent killings, not “excess mortality” deaths from from disease or hunger that the conflict is causing indirectly.)


Patrick Ball on the Perils of Misusing Human Rights Data


Inside the Difficult, Dangerous Work of Tallying the ISIS Death Toll

HRDAG executive director Megan Price is interviewed by Mother Jones. An excerpt: “Violence can be hidden,” says Price. “ISIS has its own agenda. Sometimes that agenda is served by making public things they’ve done, and I have to assume, sometimes it’s served by hiding things they’ve done.”


Sous la dictature d’Hissène Habré, le ridicule tuait

Patrick Ball, un expert en statistiques engagé par les Chambres africaines extraordinaires, a conclu que la « mortalité dans les prisons de la DDS fut substantiellement plus élevée que celles des pires contextes du XXe siècle de prisonniers de guerre ».


‘Bias deep inside the code’: the problem with AI ‘ethics’ in Silicon Valley

Kristian Lum, the lead statistician at the Human Rights Data Analysis Group, and an expert on algorithmic bias, said she hoped Stanford’s stumble made the institution think more deeply about representation.

“This type of oversight makes me worried that their stated commitment to the other important values and goals – like taking seriously creating AI to serve the ‘collective needs of humanity’ – is also empty PR spin and this will be nothing more than a vanity project for those attached to it,” she wrote in an email.


Guatemalan Ex-Cops Get 40 Years for Labor Leader’s Slaying


Improving the estimate of U.S. police killings

Cory Doctorow of Boing Boing writes about HRDAG executive director Patrick Ball and his contribution to Carl Bialik’s article about the recently released Bureau of Justice Statistics report on the number of annual police killings, both reported and unreported, in 538 Politics.


Megan Price: Life-Long ‘Math Nerd’ Finds Career in Social Justice

“I was always a math nerd. My mother has a polaroid of me in the fourth grade with my science fair project … . It was the history of mathematics. In college, I was a math major for a year and then switched to statistics.

I always wanted to work in social justice. I was raised by hippies, went to protests when I was young. I always felt I had an obligation to make the world a little bit better.”


Using Math and Science to Count Killings in Syria

In this afternoon "Lightning Talk" at RightsCon 2014, Megan Price spoke about the importance of using models to adjust for variability when reporting human rights violations and mentioned innovative tools that can be used for tracking abuses. RIGHTSCON March 4, 2014 San Francisco, California Link to RightsCon program Back to Talks

How Machine Learning Protects Whistle-Blowers in Staten Island

People filed complaints against NYPD officers, and HRDAG went above and beyond to protect the privacy of the people who reported the offenses.

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.

HRDAG Names New Board Member William Isaac

William Isaac joins HRDAG's Advisory Board, bringing expertise in fairness and artificial intelligence.

How Data Scraping Provides Insights into Immigrant Arrests

In Washington State, some law enforcement officers illegally tip off ICE and CBP for civil immigration arrests. HRDAG helped identify where the problematic practices occurred.

Working Where Statistics and Human Rights Meet

Robin Mejia and Megan Price (2018). Working Where Statistics and Human Rights Meet. Chance (special issue). February 2018. © 2018 CHANCE.


How Data Extraction Illuminates Racial Disparities in Boston SWAT Raids

Boston Police deployed SWAT teams disproportionately to Black neighborhoods, sometimes raiding homes with young children. HRDAG extracted data revealing just how disproportionate.

How a Data Tool Tracks Police Misconduct and Wandering Officers

Some police officers avoid accountability by “wandering” to another agency. HRDAG and partners created a data tool that tracks officers’ employment history.

The Statistics of Genocide

Patrick Ball and Megan Price (2018). The Statistics of Genocide. Chance (special issue). February 2018. © 2018 CHANCE.


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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