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Trina Reynolds-Tyler is HRDAG's 2019 Human Rights Intern.
We’ve
built a model for estimating the true number of positives, using what we have determined to be the most reliable datasets—deaths.
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 ...
I began working with HRDAG in the summer of 2001 before it was ever even called HRDAG. In fact, not intended as a boast, I think I’m responsible for coming up with the name. After contracting with Dr. Patrick Ball for a time writing the Analyzer data management platform, I left New York City and joined him in Washington, DC, at AAAS in 2002. Soon after starting, Patrick decided to establish an identity for this new team, consisting mainly of myself, Miguel Cruz and a handful of field relationships. We discussed what to name it briefly in the AAAS Science & Policy break room, which at the time, being in the mind of unclever descriptive naming ...
The summer of 2002 in Washington, DC, was steamy and hot, which is how I remember my introduction to HRDAG. I had begun working with them, while they were still at AAAS, in the late spring, learning all about their core concepts: duplicate reporting and MSE, controlled vocabularies, inter-rater reliability, data models and more. The days were long, with a second shift more often than not running late into the evening. In addition to all the learning, I also helped with matching for the Chad project – that is, identifying multiple records of the same violation – back when matching was done by hand. But it was not long after I arrived in Washington ...
In this story about how data are transforming the nonprofit world, Patrick Ball is quoted. Here's an excerpt:
"Data can have a profound impact on certain problems, but nonprofits are kidding themselves if they think the data techniques used by corporations can be applied wholesale to social problems," says Patrick Ball, head of the nonprofit Human Rights Data Analysis Group.
Companies, he says, maintain complete data sets. A business knows every product it made last year, when it sold, and to whom. Charities, he says, are a different story.
"If you're looking at poverty or trafficking or homicide, we don't have all the data, and we're not going to," ...
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Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.
Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.
Huffington Post Politics writer Matt Easton interviews Patrick Ball, executive director of HRDAG, about the latest enumeration of killings in Syria. As selection bias is increasing, it becomes harder to see it: we have the “appearance of perfect knowledge, when in fact the shape of that knowledge has not changed that much,” says Patrick. “Technology is not a substitute for science.”
Megan Price and Patrick Ball. 2015. Statistical Journal of the IAOS 31: 263–272. doi: 10.3233/SJI-150899. © IOS Press and the authors. All rights reserved. Creative Commons BY-NC-SA.
In 1995, the Haitian National Commission for Truth and Justice (CNVJ) requested the advice of the American Association for the Advancement of Science (AAAS) and Dr. Patrick Ball on how to develop a large-scale project to take the testimonies of several thousand witnesses of human rights abuses in Haiti.
The team conducted work incorporating over 5,000 interviews covering over 8,500 victims to produce detailed regional analyses, using quantitative material from the interviews, historical, economic and demographic analysis.
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.
One of the researchers, a Michigan State PhD candidate named William Isaac, had not previously heard of New Orleans’ partnership with Palantir, but he recognized the data-mapping model at the heart of the program. “I think the data they’re using, there are serious questions about its predictive power. We’ve seen very little about its ability to forecast violent crime,” Isaac said.
Patrick Ball and Michael Reed Hurtado. 2016. El registro y la medición de la criminalidad. El problema de los datos faltantes y el uso de la ciencia para producir estimaciones en relación con el homicidio en Colombia, demostrado a partir de un ejemplo: el departamento de Antioquia (2003-2011). Revista Criminalidad, 58 (1): 9-23.
Patrick Ball and Michael Reed Hurtado. 2016. El registro y la medición de la criminalidad. El problema de los datos faltantes y el uso de la ciencia para producir estimaciones en relación con el homicidio en Colombia, demostrado a partir de un ejemplo: el departamento de Antioquia (2003-2011). Revista Criminalidad, 58 (1): 9-23. Criminality registration and measurement. The problem of missing data, and the use of science to produce estimations relating to homicide in Colombia, as demonstrated with an example from one of its administrative and political divisions: the Department of Antioquia (2003-2011).
People filed complaints against NYPD officers, and HRDAG went above and beyond to protect the privacy of the people who reported the offenses.
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. ...
Benetech Human Rights Program and Corporación Punto de Vista Issues Report on
Sexual Violence in Colombia
Researchers Find that Data About Sexual Violence is Difficult To Collect and Subject to Misinterpretation
May 2, 2011, Palo Alto, CA — The Benetech Human Rights Program has issued a report with the Colombian NGO Corporación Punto de Vista which examines how quantitative data can be used to assess conflict related sexual violence in Colombia. Written by Francoise Roth, Tamy Guberek and Amelia Hoover Green, Using Quantitative Data to Assess Conflict-Related Sexual Violence in Colombia: Challenges and Opportunities notes that sexual violations ...
