On February 4, 2015, at the National Archive in Pristina, Kosovo, HRDAG executive director Patrick Ball gave a presentation on research (done with colleague Jule Krüger) about the database of the Kosovo Memory Book (KMB). The KMB is part of the Humanitarian Law Centre in Belgrade and Pristina). In this photo, Patrick is speaking, and HLC-Belgrade executive director emeritus Natasa Kandic and Professor Michael Spagat are at the table with him. At the laptop between Spagat and Patrick is Laza Lazarevic of HLC; he is part of the KMB team.
About 130 people attended—a terrific response.
Presentation on the research behind the Evaluation of the ...
HRDAG is honored to work with a diverse set of partners. These organizations and the individuals that operate them are critical to our success, and our goal is to be critical to theirs. Here are a few quotes from our colleagues.
"Over the last two years, Dr Patrick Ball has spoken several times to relevant AI staff on the use (and mis-use) of quantitative data in human rights work. Each time, people rave about it afterwards commenting on Patrick's inimical skills to convey the complexity of statistical science in an accessible, relevant and fun way. This year, we also organised small meetings with individual teams who have to crunch 'big data' ...
The interview poses questions about Lum's focus on artificial intelligence and its impact on predictive policing and sentencing programs.
The report tries to answer the question of whether a particular risk assessment model reinforces racial inequalities in the criminal justice system.
HRDAG contributed to work by the ACLU showing that a predictive tool used to guide responses to alleged child neglect may forever flag parents with disabilities. “These predictors have the effect of casting permanent suspicion and offer no means of recourse for families marked by these indicators,” according to the analysis from researchers at the ACLU and the nonprofit Human Rights Data Analysis Group. “They are forever seen as riskier to their children.”
Kristian Lum, Megan Price, Tamy Guberek, and Patrick Ball. “Measuring Elusive Populations with Bayesian Model Averaging for Multiple Systems Estimation: A Case Study on Lethal Violations in Casanare, 1998-2007,” Statistics, Politics, and Policy. 1(1) 2010. All rights reserved.
We welcome the verdict of a week ago by Judges Barrios, Bustamante, and Xitumul in the conviction of General Efraín Ríos Montt for genocide and crimes against humanity. Their 718-page written opinion contains many compelling arguments, findings, and conclusions. But the section we at HRDAG are most interested in is the one on page 245 (see original, below), where Patrick's testimony is referred to. (more…)
The first time I met anyone at HRDAG, I was a journalist. It was 2006. I was working on a story about a graduate student at Carnegie Mellon who’d collaborated with the organization on a survey in Sierra Leone, and I contacted Patrick Ball to discuss the work. At the time, I found him challenging.
But I thought his work—trying to estimate how many people were killed, or, in that study, otherwise injured, during wars—was fascinating. Over the next few years, I got to know other researchers working on similar questions. In 2008, as the war in Iraq ramped up, I spoke with epidemiologists from Johns Hopkins University, the World Health Organiz...
Wilkerson was speaking at the inaugural Conference on Fairness, Accountability, and Transparency, a gathering of academics and policymakers working to make the algorithms that govern growing swaths of our lives more just. The woman who’d invited him there was Kristian Lum, the 34-year-old lead statistician at the Human Rights Data Analysis Group, a San Francisco-based non-profit that has spent more than two decades applying advanced statistical models to expose human rights violations around the world. For the past three years, Lum has deployed those methods to tackle an issue closer to home: the growing use of machine learning tools in America’s criminal justice system.
Margot is a professor in the Department of Energy Resources Engineering at Stanford University, interested in computer simulation and mathematical analysis of engineering processes.
