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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 ā 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 ...
New Research on Civilian Deaths and Disappearances in El Salvador
This rigorous estimate shows that 1-2 percent of the countryās population was killed or disappeared during the civil war.
MEDIA MISREPRESENTATIONS OF THE CAVR REPORT
Press release from the Technical Secretariat of the Commission for Reception, Truth, and Reconciliation (CAVR)
MEDIA MISREPRESENTATIONS OF THE CAVR REPORT
Although not yet officially released, the 2500 page CAVR Report 'Chega!' has been the subject of several prominent reports in the media based on leaked versions of the Executive Summary and particularly its section on Recommendations. Stories on the Report have been carried by AFP, AP, the Japan Times, the Singapore Straits Times, Sydney Morning Herald, Lusa,Timor-Leste press and Bali Times - to name some.
Regrettably some of these stories contained serious misrepresentations of the Report which ...
Liberian Truth and Reconciliation Commission Data
In July 2009, The Human Rights Data Analysis Group concluded a three-year project with the Liberian Truth and Reconciliation Commission to help clarify Liberiaās violent history and hold perpetrators of human rights abuses accountable for their actions. In the course of this work, HRDAG analyzed more than 17,000 victim and witness statements collected by the Liberian Truth and Reconciliation Commission and compiled the data into a report entitled āDescriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission.ā
Liberian TRC data and the accompanying data dictionary
anonymized-statgivers.csv contains information ...
Human Rights and the Decentralized Web
Our partners were eager to learn and talk about emerging decentralized technology.
RustConf 2019, and systems programming as a data scientist
It could make sense to use Rust as a data journalist for in-browser computations, and other thoughts from RustConf.
How Many People Will Get Covid-19?
HRDAG has authored two articles in Significance that add depth to discussions around infection rates.
Rapid response to: Civilian deaths from weapons used in the Syrian conflict
On November 4, 2015, the BMJĀ published our "Rapid Response" toĀ Civilian deaths from weapons used in the Syrian conflict (BMJ 2015;351:h4736). The response was co-authored by Megan Price, Anita Gohdes, Jay AronsonĀ (Carnegie Mellon University, Center for Human Rights Science), and Christopher McNaboe (Carter Center, Syria Conflict Mapping Project).
We have three concerns about this article. First, the article apportions responsibility for casualties to particular perpetrator organizations based on a single snapshot of territorial control that ignores the numerous (and well-documented) changes in this phenomenon over time. Second, combining Syrian ...
The Day We Fight Back
Today, February 11, is the day of national protests against the National Security Administration.
The critical threat is mass surveillance. In the words of The Day We Fight Back, āTogether we will push back against powers that seek to observe, collect, and analyze our every digital action. Together, we will make it clear that such behavior is not compatible with democratic governance. Together, if we persist, we will win this fight.ā (more…)
Covid-19 Research and Resources
HRDAG is identifying and interpreting the best science we can find to shed light on the global crisis brought on by the novel coronavirus, about which we still know so little. Right now, most of the data on the virus SARS-CoV-2 and Covid-19, the condition caused by the virus, are incomplete and unrepresentative, which means that there is a great deal of uncertainty. But making sense of imperfect datasets is what we do. HRDAG is contributing to a better understanding with explainers, essays, and original research, and we are highlighting trustworthy resources for those who want to dig deeper.
Papers and articles by HRDAG
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How Structuring Data Unburies Critical Louisiana Police Misconduct Data
In Louisiana, appeals for police disciplinary action are often buried in meeting minutes. HRDAG uses machine learning to extract, structure data and make it searchable..
The Statistics of Mortality Due to Conflict in Peru
A key point is that human rights data collection prior to the TRC largely ignored violence by the Shining Path.
Datasets available for research
Over the last few years, we've tried to make the data organized in our projects publicly accessible. We have encouraged our partners to publish the data at the completion of the project. We continue to believe it is important to offer access to the data used in our projects for the sake of transparency as well as to encourage further research and analysis. However, we are increasingly concerned about how raw data are used. Data collected by what we can observe is what statisticians call a convenience sample, which is subject to selection bias.
We're keeping these datasets available for researchers who want to use them for simulation or estimation ...
Our Story
Dec 10, 1991
HRDAG is born when Patrick Ball begins database design at the Human Rights Office of the Salvadoran Lutheran Church. The work soon moves to the non-governmental Human Rights Commission (CDHES). The database analysis identified the 100 worst officers in the Salvadoran military ā who were forced to resign as part of the peace process.
1994
Patrick publishes A Definit...
Analyzing patterns of violence in Colombia using more than 100 databases
The institutionās objectives were to learn the truth about what happened during the armed conflict.
About Us
Who We Are
The Human Rights Data Analysis Group is a non-profit, non-partisan organization that applies rigorous science to the analysis of human rights violations around the world. We are a team with expertise in mathematical statistics, computer science, demography, and social science. We are non-partisanāwe do not take sides in political or military conflicts, nor do we advocate any particular political party or government policy. However, we are not neutral: we are always in favor of human rights. We support the protections established in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and ...
New analysis of World War II Korean “comfort women” held by Japanese
There may have been more undocumented World War II-era Korean "comfort women" than known.
Multiple Systems Estimation: Does it Really Work?
<< Previous post, MSE: Stratification and Estimation
Q15. Are there other MSE models one might use with human rights data?
Q16. Is it possible to use MSE to model non-lethal human rights violations?
Q17.Ā I am concerned about using MSE with my data, because the datasets were gathered by opposing organizations. Victims who were reported to an NGO were very unlikely to be reported to state sources, but also very likely to be reported to religious organizations. Won't that cause the overlaps between the NGO list and the state list to be artificially low, and the overlaps between the NGO list and the church list to be artificially high? Does ...
Training with HRDAG: Rules for Organizing Data and More
I had the pleasure of working with Patrick Ball at the HRDAG office in San Francisco for a week during summer 2016. I knew Patrick from two workshops he previously hosted at the University of Washingtonās Centre for Human Rights (UWCHR). The workshops were indispensable to us at UWCHR as we worked to publish a number of datasets on human rights violations during the El Salvador Civil War. Ā The training was all the more helpful because the HRDAG team was so familiar with the data. As part of an impressive career which took him from Ethiopia and Kosovo to Haiti and El Salvador among others, Patrick himself had worked on gathering and analysing ...