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In this free, downloadable report, Mike Barlow of O’Reilly Media cites several examples of how data and the work of data scientists have made a measurable impact on organizations such as DataKind, a group that connects socially minded data scientists with organizations working to address critical humanitarian issues. HRDAG—and executive director Megan Price—is one of the first organizations whose work is mentioned.
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.
How do police officer booking decisions affect pre-trial risk assessment tools relied upon by judges?
In 1984, as a fresh PhD, I heard Richard Savage give his presidential address at the Joint Statistical Meetings in Philadelphia. He called it "Hard/Soft Problems" and made a big pitch for statisticians to get involved in human rights data analysis. It was inspirational, and I was immediately sold. I started working with the American Statistical Association's Committee on Scientific Freedom and Human Rights (now chaired by HRDAG's own Megan Price). Over time, a growing set of statisticians became involved, initially in letter-writing campaigns to help dissident statisticians (and other quantitative academics—economists seemed to have a particular ...
Gen. José Guillermo García, El Salvador’s defense minister from 1979 to 1983, may be deported from Florida to El Salvador because of his involvement in war crimes that occurred under his command. The recommendation comes from a Miami immigration judge, whose decision was supported with expert testimony from Stanford political science professor Terry Karl, who presented extensive statistical analysis of killings, disappearances, kidnappings, torture and other crimes under Gen. García’s watch. The statistical analysis was a joint effort between Professor Karl and Amelia Hoover Green and Patrick Ball of Human Rights Data Analysis Group (HRDAG). ...
HRDAG has been working with the Historic Archive of the National Police in Guatemala (hereafter, the Archive) for the past seven years. The Archive contains a treasure trove of data recorded and kept by the Guatemalan National Police over the past century. When the Archive was first discovered in 2005, researchers there immediately recognized both the value and fragility of the tens of millions of documents. As a result, they reached out to HRDAG, and we reached out to volunteers at Westat to devise a plan to estimate the contents of the entire Archive as quickly as possible in case the documents were destroyed or access to them was limited. ...
Patrick Ball won the Karl E. Peace Award for Outstanding Statistical Contributions for the Betterment of Society at the 2018 Joint Statistical Meeting.
“Every kind of classification system – human or machine – has several kinds of errors it might make,” [Patrick Ball] says. “To frame that in a machine learning context, what kind of error do we want the machine to make?” HRDAG’s work on predictive policing shows that “predictive policing” finds patterns in police records, not patterns in occurrence of crime.
If we could glean key missing information from those fields, we would be able to use more records.
In December 2006, Human Rights Watch (HRW) issued a report documenting torture and unlawful killings committed by Bangladesh's Rapid Action Battalion (RAB), an elite anti-crime and anti-terrorism force. According to HRW, many of the deaths for which RAB is responsible resulted from summary executions or extreme physical abuse. The statistical analysis presented in the report, "Judge, Jury, and Death: Torture and Executions by Bangladesh's Elite Security Force," was conducted by Romesh Silva, a statistician who worked within the Benetech Human Rights Program at the time, and who now works with HRDAG.
While researching these incidents, HRW compiled ...
We’re pleased to announce that Camille Fassett has joined our team as our new data science fellow.
For years I have been engaged in a quantitative study at Guatemala’s Historic Archive of the National Police, or AHPN. (See the blogposts below.) In this study coders collect data on sheets of paper according to criteria established and explained in manuals. But when collecting data, there’s always room for human error—this is why the validity of the study hinges on verifying that coders use the correct criteria.
It is important to mention that the mainstay of coding is the use of a controlled vocabulary. A controlled vocabulary gives analysts a framework, or frame of reference, when converting qualitative information into categories ...
I have made it my personal objective to amplify HRDAG's message of being extra careful and scientifically rigorous with human rights data.
(This post is co-authored by Patrick Ball and Kristian Lum.)
In early March, the Bureau of Justice Statistics published a report that estimated that in the period 2003-2009 and 2011, there were approximately 7427 homicides committed by police in the US. We responded that the method the analysts used, capture-recapture with two databases, is vulnerable to underestimation if the databases exhibit positive dependence. We conduct a thorough sensitivity analysis on the original independence model as applied to the police homicides databases. We used information from several other countries where our partners created multiple databases of homicides. We ...
With so many dashboards and shiny visualizations, how can an interested non-technical reader find good science among the noise?
The data on killings in Kosovo are in four files. All of the files are comma-delimited ASCII. The fields in each file are described below.
If you use these data on Kosovo killings, please cite them with the following citation, as well as this note:
“These are convenience sample data, and as such they are not a statistically representative sample of events in this conflict. These data do not support conclusions about patterns, trends, or other substantive comparisons (such as over time, space, ethnicity, age, etc.).”
Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovich, and Jana Asher. (2002). AAAS/ABA-CEELI/Human Rights Data ...
This rigorous estimate shows that 1-2 percent of the country’s population was killed or disappeared during the civil war.
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I've been working with various projects in Guatemala to document mass violence since 1993, so in 2011, when Claudia Paz y Paz asked me to revisit the analysis I did for the Commission for Historical Clarification examining the differential mortality rates due to homicide for indigenous and non-indigenous people in the Ixil region, I was delighted. We have far better data processing and statistical methods than we had in 1998, plus much more data. I think the resulting analysis is a conservative lower bound on total homicides of indigenous people. (more…)