610 results for search: %EB%B0%A4%EB%AC%B8%ED%99%94%EC%82%AC%EC%9D%B4%ED%8A%B8%20bamje1%EF%BC%8C%E2%93%92%D0%BE%EF%BD%8D%E2%97%8F%EB%B0%A4%EB%AC%B8%ED%99%94%EC%82%AC%EC%9D%B4%ED%8A%B8%20%EB%B0%A4%EB%AC%B8%ED%99%94%EC%82%AC%EC%9D%B4%ED%8A%B8%E2%9C%88%EB%B0%A4%EB%AC%B8%ED%99%94%EC%82%AC%EC%9D%B4%ED%8A%B8%20%EB%B0%A4%EB%AC%B8%ED%99%94%EC%82%AC%EC%9D%B4%ED%8A%B8/feed/content/colombia/Co-union-violence-paper-response.pdf
Patrick Ball. “Making the Case: The Role of Statistics in Human Rights Reporting.” Statistical Journal of the United Nations Economic Commission for Europe. 18(2-3):163-174. 2001.
On Wednesday, February 4, in Pristina, international experts praised the Humanitarian Law Centre's database on victims of the Kosovo conflict, the Kosovo Memory Book. HRDAG executive director Patrick Ball is quoted in the article that appeared in Balkan Transitional Justice.
HLC’s work won praise from Patrick Ball, from Human Rights Data Analysis Group and from Michael Spagat, professor of economics at Royal Holloway, University of London, who have examined and analysed the database.
Ball, with 24 years of experience in databases and statistics of human rights, said that the HLC’s database had enormous quality and marked it out as among the ...
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.
Alanna Flores joins HRDAG for the summer as a Data Science Fellow.
The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. You can browse by Category or scroll to view find all articles listed.
.hrdag-algo-button {
margin-bottom: 23px;
}
.hrdag-algo-button a {
border-radius: 18px;
background-color: #4f81ed;
padding: 8px 24px;
text-decoration: none;
color: white;
font-size: 16px;
font-weight: 400 !important;
text-align: center;
display: inline-block;
border: 1px solid transparent;
transition: all 0.3s ease-in-out;
}
.hrdag-algo-button a:hover {
color: #4f81ed;
background-color: transparent;
border: 1px solid #4f81ed;
}
.hrdag-algo-list {
margin-bottom: 20px;
}
Using machine learning to make sense
of massive caches of data
Som...
Congratulations to Patrick on this well deserved award!
Carl Bialik of 538 Politics reports on a new HRDAG study authored by Kristian Lum and Patrick Ball regarding the Bureau of Justice Statistics report about the number of annual police killings, which was issued a few weeks ago. As Bialik writes, the HRDAG scientists extrapolated from their work in five other countries (Colombia, Guatemala, Kosovo, Sierra Leone and Syria) to estimate that the BJS study missed approximately one quarter of the total number of killings by police.
HRDAG's work in Kosovo and in the Guatemalan trial of General José Efraín Ríos Montt is discussed in this article. Megan Price, HRDAG's director of research, is quoted. “There is a wide variety of things that could be considered data,” she says.
From the story:
Price’s main data analysis tool requires fitting a model to the data that ends up in her lap. That way, she can see whether there are gaps in the data and what more needs to be included. The method, called multiple systems estimation analysis, lets Price look at patterns across lists of data, for example, lists of victims. The resulting model reveals how much data is missing, to a ...
.hrdag-algo-button {
margin-bottom: 23px;
}
.hrdag-algo-button a {
border-radius: 18px;
background-color: #4f81ed;
padding: 8px 24px;
text-decoration: none;
color: white;
font-size: 16px;
font-weight: 400 !important;
text-align: center;
display: inline-block;
border: 1px solid transparent;
transition: all 0.3s ease-in-out;
}
.hrdag-algo-button a:hover {
color: #4f81ed;
background-color: transparent;
border: 1px solid #4f81ed;
}
.hrdag-algo-list {
margin-bottom: 20px;
}
fetch('/wp-json/wp/v2/categories')
.then(response => {
if (!respon...
Help HRDAG use data science to work for justice, accountability, and human rights. We are nonpartisan and nonprofit, but we are not neutral; we are always on the side of human rights.
Cryptocurrency donations to 501(c)3 charities receive the same tax treatment as stocks. Your donation is a non-taxable event, meaning you do not owe capital gains tax on the appreciated amount and can deduct it on your taxes. This makes Bitcoin and other cryptocurrency donations one of the most tax efficient ways to support us.
We are a team of experts in machine learning, applied and mathematical statistics, computer science, demography, and social science, and ...
Ball, a statistician, has spent the last two decades finding ways to make the silence speak. He helped pioneer the use of formal statistical modeling, and, later, machine learning—tools more often used for e-commerce or digital marketing—to measure human rights violations that weren’t recorded. In Guatemala, his analysis helped convict former dictator General Efraín Ríos Montt of genocide in 2013. It was the first time a former head of state was found guilty of the crime in his own country.
For more than 20 years, HRDAG has been carving out a niche in the international human rights movement. We know what we’re good at and what we’re not qualified to do. We know what quantitative questions we think are important for the community, and we know what we like to do. These preferences guide us as we consider whether to take on a project. We’re scientists, so our priorities will come as no surprise. We like to stick to science (not ideology), avoid advocacy, answer quantifiable questions, and increase our scientific understanding.
While we have no hard-and-fast rules about what projects to take on, we organize our deliberation ...
Our newest Data Science Fellow, Will Taylor, is currently a doctoral student in political science and public policy at the University of Michigan.
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
Version date: 2000.01.29
Current version: ATV20.1
Patrick Ball & Herbert F. Spirer
Below are listed the 19 files that constitute the CIIDH database. We have noted those that include data that might be analytically useful in future versions of ATV. File names and brief definitions are in bold, and variable summaries are in bulleted points.
CXTOV2 (Context; links to VLCNV2)
Additional detail on geographic location of case
Narrative summary
CXTOV2ex (Context extension; links to CXTOV2)
Fine breakdown on the age category & sex of anonymous victims
CXTOV2lg (Context extension; links to CXTOV2)
Legal procedures taken on behalf of the ...