717 results for search: %E3%80%8E%EB%85%BC%EC%82%B0%EB%8C%80%ED%99%94%E3%80%8F%20%D5%956%D5%95%E3%85%A19%D5%952%E3%85%A18998%20%EB%8F%BC%EC%A7%80%EB%9D%A0%EB%8F%8C%EC%8B%B1%EB%AA%A8%EC%9E%84%20%EC%84%B1%EC%9D%B8%EB%8D%B0%EC%9D%B4%ED%8C%85%E2%9C%BA%EB%AA%B8%EB%A7%A4%EB%85%80%EB%A7%8C%EB%82%A8%E3%8B%97%EB%B9%84%EA%B3%B5%EA%B0%9C%EB%8C%80%ED%99%94%20%E3%83%90%E5%84%AD%20herbarium/feed/content/colombia/SV-report_2011-04-26.pdf
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.
Work by HRDAG researchers Kristian Lum and William Isaac is cited in this article about the Policing Project: “While this bias knows no color or socioeconomic class, Lum and her HRDAG colleague William Isaac demonstrate that it can lead to policing that unfairly targets minorities and those living in poorer neighborhoods.”
Biotechniques published an interview with Patrick Ball, inspired by his John Maddox Prize award.
HRDAG is mentioned in the “child welfare (sometimes called “family policing”)” section: At least 72,000 low-income children are exposed to AI-related decision-making through government child welfare agencies’ use of AI to determine if they are likely to be neglected. As a result, these children experience heightened risk of being separated from their parents and placed in foster care.
Kristian Lum’s work on the HRDAG Policing Project is referred to here: “In fact, Lum argues, it’s not clear how well this model worked at depicting the situation in Oakland. Those data on drug crimes were biased, she now reports. The problem was not deliberate, she says. Rather, data collectors just missed some criminals and crime sites. So data on them never made it into her model.”
.hrdag-algo-button { margin-bottom: 25px; a { border-radius: 18px; background-color: #4f81ed; padding: 8px 18px; text-decoration: none; color: white; border: 1px solid transparent; } a:hover { color: #4f81ed; border: 1px solid #4f81ed; background-color: transparent; } }
HRDAG’s analysis and expertise continues to deepen the national conversation about police violence and criminal legal reform in the United States. In 2015 we began by considering undocumented victims of police violence, relying on the same methodological approach we’ve tested internationally for ...
Data coding is the process of converting unstructured information, such as a narrative testimony, into discrete facts such as names and roles of actors (victims, witnesses, perpetrators) in crimes, as well as the date and place of act. Data coding must not discard or distort information. When more than one person is identifying, classifying and counting the elements reported in a qualitative source, the results of what they find may differ slightly based on each individual's interpretation and care in doing the coding. These differences can be measured by measuring IRR (inter-rater reliability). We give the same source document to several coders and ...
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 ...
In this story, Guerrini discusses the impact of HRDAG's work in Guatemala, especially the trials of General José Efraín Ríos Montt and Colonel Héctor Bol de la Cruz, as well as work in El Salvador, Syria, Kosovo, and Timor-Leste. Multiple systems estimation and the perils of using raw data to draw conclusions are also addressed.
Megan Price and Patrick Ball are quoted, especially in regard to how to use raw data.
“From our perspective,” Price says, “the solution to that is both to stay very close to the data, to be very conservative in your interpretation of it and to be very clear about where the data came from, how it was collected, what ...
HRDAG has been fortunate to have a long and exciting history that has taken us around the world to analyze data related to human rights violations. Along the way, we have met wonderful people, worked with amazing organizations and been a part of an amazing advancement of science through data analysis.
This page highlights key moments in our history.
If you’d like to stay informed about HRDAG events, blogposts, and news, connect with us on Twitter, Facebook or through our RSS feed. We also have a LinkedIn page.
You may contact us directly via email at info @ hrdag.org.
A note for persons in search of assistance with specific human rights cases: We are very sorry for your troubles and your suffering; however, HRDAG does not take on casework. If you need help with a human rights case, you might consider requesting it from the International Committee of the Red Cross (www.icrc.org).
Photo: U.S. National Archives
Our newest Data Science Fellow, Will Taylor, is currently a doctoral student in political science and public policy at the University of Michigan.
Alanna Flores joins HRDAG for the summer as a Data Science Fellow.
.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...
Patrick Ball (2005). “Free Software,” in The Encyclopedia of Science, Technology, and Ethics. ed. by Carl Mitcham. Farmington Hills, MI: Thomson Gale.
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 ...
Romesh Silva and Patrick Ball. “On the Use of Sample Surveys and Multiple Systems Estimations in Assessing Large-Scale Human Rights Violations: Recent Experiences from Timor-Leste.” Proceedings of the Social Statistics Section – Joint Statistical Meetings. New York, (USA). August, 2005.
