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Can ‘predictive policing’ prevent crime before it happens?

100x100-sciencemagHRDAG analyst William Isaac is quoted in this article about so-called crime prediction. “They’re not predicting the future. What they’re actually predicting is where the next recorded police observations are going to occur.”


How statistics caught Indonesia’s war-criminals


Trump’s “extreme-vetting” software will discriminate against immigrants “Under a veneer of objectivity,” say experts

Kristian Lum, lead statistician at the Human Rights Data Analysis Group (and letter signatory), fears that “in order to flag even a small proportion of future terrorists, this tool will likely flag a huge number of people who would never go on to be terrorists,” and that “these ‘false positives’ will be real people who would never have gone on to commit criminal acts but will suffer the consequences of being flagged just the same.”


A Human Rights Statistician Finds Truth In Numbers

The tension started in the witness room. “You could feel the stress rolling off the walls in there,” Patrick Ball remembers. “I can remember realizing that this is why lawyers wear sport coats – you can’t see all the sweat on their arms and back.” He was, you could say, a little nervous to be cross-examined by Slobodan Milosevic.


Chad: Habré Knew of Deaths in His Jails


Inside a Dictator’s Secret Police


Using statistics to estimate the true scope of the secret killings at the end of the Sri Lankan civil war

In the last three days of the Sri Lankan civil war, as thousands of people surrendered to government authorities, hundreds of people were put on buses driven by Army officers. Many were never seen again.

In a report released today (see here), the International Truth and Justice Project for Sri Lanka and the Human Rights Data Analysis Group showed that over 500 people were disappeared on only three days — 17, 18, and 19 May.


Hissène Habré, le Pinochet Africain


What HBR Gets Wrong About Algorithms and Bias

“Kristian Lum… organized a workshop together with Elizabeth Bender, a staff attorney for the NY Legal Aid Society and former public defender, and Terrence Wilkerson, an innocent man who had been arrested and could not afford bail. Together, they shared first hand experience about the obstacles and inefficiencies that occur in the legal system, providing valuable context to the debate around COMPAS.”


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.”


A better statistical estimation of known Syrian war victims

Researchers from Rice University and Duke University are using the tools of statistics and data science in collaboration with Human Rights Data Analysis Group (HRDAG) to accurately and efficiently estimate the number of identified victims killed in the Syrian civil war.

Using records from four databases of people killed in the Syrian war, Chen, Duke statistician and machine learning expert Rebecca Steorts and Rice computer scientist Anshumali Shrivastava estimated there were 191,874 unique individuals documented from March 2011 to April 2014. That’s very close to the estimate of 191,369 compiled in 2014 by HRDAG, a nonprofit that helps build scientifically defensible, evidence-based arguments of human rights violations.


Former Leader of Guatemala Is Guilty of Genocide Against Mayan Group


Calculations for the Greater Good

Rollins School of Public HealthAs executive director of the Human Rights Data Analysis Group, Megan Price uses statistics to shine the light on human rights abuses.


Mapping Mexico’s hidden graves

When Patrick Ball was introduced to Ibero’s database, the director of research at the Human Rights Data Analysis Group in San Francisco, California, saw an opportunity to turn the data into a predictive model. Ball, who has used similar models to document human rights violations from Syria to Guatemala, soon invited Data Cívica, a Mexico City–based nonprofit that creates tools for analyzing data, to join the project.


Hunting for Mexico’s mass graves with machine learning

“The model uses obvious predictor variables, Ball says, such as whether or not a drug lab has been busted in that county, or if the county borders the United States, or the ocean, but also includes less-obvious predictor variables such as the percentage of the county that is mountainous, the presence of highways, and the academic results of primary and secondary school students in the county.”


Benetech Statistical Expert Testifies in Guatemala Disappearance Case


5 Questions for Kristian Lum

Kristian Lum discusses the challenges of getting accurate data from conflict zones, as well as her concerns about predictive policing if law enforcement gets it wrong.


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


Capture-Recapture for Casualty Estimation and Beyond: Recent Advances and Research Directions

Daniel Manrique-Vallier, Patrick Ball, Mauricio Sadinle. (2022). Capture-Recapture for Casualty Estimation and Beyond: Recent Advances and Research Directions. In: Carriquiry, A.L., Tanur, J.M., Eddy, W.F. (eds) Statistics in the Public Interest. Springer Series in the Data Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-75460-0_2

Manrique-Vallier, D., Ball, P., Sadinle, M. (2022). Capture-Recapture for Casualty Estimation and Beyond: Recent Advances and Research Directions. In: Carriquiry, A.L., Tanur, J.M., Eddy, W.F. (eds) Statistics in the Public Interest. Springer Series in the Data Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-75460-0_2


Big Data and Death at UW-Madison

On November 7, 2014, the Department of Political Science, University of Wisconsin–Madison, and  the University of Wisconsin Law School, hosted a mini-conference with speakers Jennifer Alix-Garcia, Patrick Ball, Chad Hazlett, Volker Radeloff, and Philip Schrodt to speak about "Big Data and Death." The conference was organized by John Ahlquist and Jon Pevehouse. Big Data and Death Department of Political Science University of Wisconsin–Madison November 7, 2014 Madison, Wisconsin

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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