678 results for search: %ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%BC%ED%95%9C%EB%8C%80%ED%99%94%E2%97%86%EB%AF%B8%EC%8A%A4%ED%8F%B0%ED%8C%85%E3%85%A1%C6%9C%C6%9C%C6%9C_BOYO_P%C6%9C%E2%97%86%20%ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%BC%ED%95%9C%EA%B1%B0%20%ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%A0%EC%9D%B8%EB%A7%8C%EB%93%A4%EA%B8%B0%C2%AE%ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%A0%EC%9D%B8%EB%8C%80%ED%96%89%F0%9F%91%A8%F0%9F%8F%BE%E2%80%8D%F0%9F%A4%9D%E2%80%8D%F0%9F%91%A8%F0%9F%8F%BC%ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%A0%EC%9D%B8%EA%B5%AC%ED%95%98%EA%B8%B0%20%E4%A4%93%E8%96%BAschedule%ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%BC%ED%95%9C%EB%8C%80%ED%99%94/feed/content/colombia/SV-report_2011-04-26.pdf


La misión de contar muertos


Syria’s status, the migrant crisis and talking to ISIS

In this week’s “Top Picks,” IRIN interviews HRDAG executive director Patrick Ball about giant data sets and whether we can trust them. “No matter how big it is, data on violence is always partial,” he says.


Rise of the racist robots – how AI is learning all our worst impulses

“If you’re not careful, you risk automating the exact same biases these programs are supposed to eliminate,” says Kristian Lum, the lead statistician at the San Francisco-based, non-profit Human Rights Data Analysis Group (HRDAG). Last year, Lum and a co-author showed that PredPol, a program for police departments that predicts hotspots where future crime might occur, could potentially get stuck in a feedback loop of over-policing majority black and brown neighbourhoods. The program was “learning” from previous crime reports. For Samuel Sinyangwe, a justice activist and policy researcher, this kind of approach is “especially nefarious” because police can say: “We’re not being biased, we’re just doing what the math tells us.” And the public perception might be that the algorithms are impartial.


Weapons of Math Destruction

Weapons of Math Destruction: invisible, ubiquitous algorithms are ruining millions of lives. Excerpt:

As Patrick once explained to me, you can train an algorithm to predict someone’s height from their weight, but if your whole training set comes from a grade three class, and anyone who’s self-conscious about their weight is allowed to skip the exercise, your model will predict that most people are about four feet tall. The problem isn’t the algorithm, it’s the training data and the lack of correction when the model produces erroneous conclusions.


Foundation of Human Rights Statistics in Sierra Leone

Richard Conibere (2004). Foundation of Human Rights Statistics in Sierra Leone (abstr.), Joint Statistical Meetings. Toronto, Canada.


Coders Bare Invasion Death Count


Testimonials

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' ...

Indirect Sampling to Measure Conflict Violence: Trade-offs in the Pursuit of Data That Are Good, Cheap, and Fast

Romesh Silva and Megan Price. “Indirect Sampling to Measure Conflict Violence: Trade-offs in the Pursuit of Data That Are Good, Cheap, and Fast.” Journal of the American Medical Association. 306(5):547-548. 2011. © 2011 JAMA. All rights reserved.


Estimating the human toll in Syria

Megan Price (2017). Estimating the human toll in Syria. Nature. 8 February 2017. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Human Behaviour. ISSN 2397-3374.


Data ‘hashing’ improves estimate of the number of victims in databases

But while HRDAG’s estimate relied on the painstaking efforts of human workers to carefully weed out potential duplicate records, hashing with statistical estimation proved to be faster, easier and less expensive. The researchers said hashing also had the important advantage of a sharp confidence interval: The range of error is plus or minus 1,772, or less than 1 percent of the total number of victims.

“The big win from this method is that we can quickly calculate the probable number of unique elements in a dataset with many duplicates,” said Patrick Ball, HRDAG’s director of research. “We can do a lot with this estimate.”


Data Analysis By Benetech Scientists Aid in Arrest of Former Guatemalan Police Chief


The Panic Button: High-Tech Protection for Human Rights Investigators


Patrick Ball on the Perils of Misusing Human Rights Data


Analyze This!


Benetech Scientists Publish Analysis of Indirect Sampling Methods in the Journal of the American Medical Association


Los asesinatos de líderes sociales que quedan fuera de las cuentas

Una investigación de Dejusticia y Human Rights Data Analysis Group concluyó que hay un subconteo en los asesinatos de líderes sociales en Colombia. Es decir, que el aumento de estos crímenes en 2016 y 2017 podría ser incluso mayor al reportado por las organizaciones y por las cifras oficiales.


Missing People in Casanare

Daniel Guzmán, Tamy Guberek, Amelia Hoover, and Patrick Ball (2007). “Missing People in Casanare.” Benetech. Also available in Spanish – “Los Desaparecidos de Casanare.”


Searching for Trends: Analyzing Patterns in Conflict Violence Data

Megan Price and Anita Gohdes (2014). Searching for Trends: Analyzing Patterns in Conflict Violence Data. Political Violence @ a Glance. © 2014 PV@G.


Hat-Tip from Guatemala Judges on HRDAG Evidence

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…)

Palantir Has Secretly Been Using New Orleans to Test Its Predictive Policing Technology

One of the researchers, a Michigan State PhD candidate named William Isaac, had not previously heard of New Orleans’ partnership with Palantir, but he recognized the data-mapping model at the heart of the program. “I think the data they’re using, there are serious questions about its predictive power. We’ve seen very little about its ability to forecast violent crime,” Isaac said.


Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

Donate