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HRDAG Welcomes New Data Science Fellow
Our newest Data Science Fellow, Will Taylor, is currently a doctoral student in political science and public policy at the University of Michigan.
Welcoming Our New HRDAG Data Scientist
Bailey joined HRDAG as a data scientist in 2022.
El Salvador 1991 – Who Did What To Whom?
Members of the Salvadoran military committed tens of thousands of killings during the country’s civil war which raged from the late 1970’s until 1990. While working for a peace organization in El Salvador in 1991, Patrick Ball was asked by a colleague at a human rights group to help organize a large collection of human rights testimonies. Trained as a social scientist, Ball created the “Who Did What To Whom” (WTWTW) model for examining human rights data. Ball used this system to create a structured, relational database of violations reported in more than 9,000 testimonies to the Salvadoran Human Rights Commission.
To determine who was most ...
Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project
/whodidwhattowhom/contents.html
Patrick Ball. Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project. © 1996 American Association for the Advancement of Science.
A Definition of Database Design Standards for Human Rights Agencies.
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Patrick Ball. “A Definition of Database Design Standards for Human Rights Agencies.” © 1994 American Association for the Advancement of Science. [pdf]
Data Mining for Good: Thoreau Center Lunch + Learn
At the Thoreau Center for Sustainability's “Lunch and Learn,” Patrick Ball spoke about “Data Mining for Good.” The talk included a discussion of how HRDAG uses random sampling, entity resolution, communications metadata, and statistical modeling to assist prosecutions of human rights violators. With an introduction by John DeCock, Chief Operating and Outreach Officer, Bioneers.
The Thoreau Center for Sustainability
Lunch and Learn
October 23, 2014
San Francisco, California
Back to Talks
Reflections: The G in HRDAG is the Real Fuel
It took me a while to realize I had become part of the HRDAG incubator—at least that’s what it felt like to me—for young data analysts who wanted to use statistical knowledge to make a real impact on human rights debates.
Report on Measures of Fairness in NYC Risk Assessment Tool
The report tries to answer the question of whether a particular risk assessment model reinforces racial inequalities in the criminal justice system.
Justice by the Numbers
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.
HRDAG Names New Board Member Margot Gerritsen
Margot is a professor in the Department of Energy Resources Engineering at Stanford University, interested in computer simulation and mathematical analysis of engineering processes.
Social Science Scholars Award for HRDAG Book
In March 2013, I entered a contest called the California Series in Public Anthropology International Competition, which solicits book proposals from social science scholars who write about how social scientists create meaningful change. The winners of the Series are awarded a publishing contract with the University of California Press for a book targeted to undergraduates. With the encouragement of my HRDAG colleagues Patrick Ball and Megan Price, I proposed a book about the work of HRDAG researchers entitled, Everybody Counts: How Scientists Document the Unknown Victims of Political Violence. Earlier this month, I was contacted by the Series judges ...
Our Thoughts on #metoo
Violence against women in all its forms is a human rights violation. Most of our HRDAG colleagues are women, and for us, unfortunately, recent campaigns such as #metoo are unsurprising.
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 ...
Kosovo Data – Killings, Migrations and More
Much of the debate about the March–June 1999 war between NATO and Yugoslavia turned on how many people left their homes in particular places and at certain times. Solid information about the flow of refugees out of Kosovo has helped investigators to link patterns in the flow to patterns of NATO bombing, Yugoslav strategic plans for "cleansing" Kosovo, and Yugoslav and irregular troop deployments. At its heart, the debate was about whether refugees left their homes fleeing NATO attacks and fighting between the KLA and Yugoslav forces, or whether they left their homes after being threatened, assaulted, and robbed by Yugoslav police, army, and irregu...
Controlled vocabulary
What is a controlled vocabulary?
A controlled vocabulary provides the ability to transform information that has been collected on violations, victims, and perpetrators into a countable set of data categories. It is important that this process be done without discarding relevant information and without misrepresenting the collected information.
Why is it necessary?
The data collected about human rights violations originates from a wide range of information sources – legal case files, newspaper articles, e-mails, faxes, letters, phone conversations, testimonies, interviews, radio and television programs, video clips, and photos. This wide range of ...
Reflections: It Began In Bogotá
It was July of 2006, I’d spent five years working at a local human rights NGO in Bogotá, and I had reached retirement age. But then a whole new world opened up for me to discover. Tamy Guberek, then HRDAG Latin America coordinator, whom I had met at the NGO, approached me about becoming part of the HRDAG Colombia team as a research/administrative assistant. Over a cup of suitably Colombian coffee, the deal was quickly "signed.” My responsibilities ranged from fundraising to translations, from support in data gathering for estimates on homicides and disappearances in various regions of Colombia to editorial support to different Benetech-HRDAG ...
Liberian TRC Data and Data Dictionary
The files linked on this page contain the data used in the calculations presented in Benetech's report to the Liberian Truth and Reconciliation Commission entitled "Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission." In accordance with Benetech's Memorandum of Understanding with the TRC, these data are published on the Internet so that others can use the material to replicate our findings and continue research on past human rights violations in Liberia. In order to protect the privacy of the people who suffered, the information in the files below contains no personal identifying information about the victims or ...