Biotechniques published an interview with Patrick Ball, inspired by his John Maddox Prize award.
If we could glean key missing information from those fields, we would be able to use more records.
Earlier this year, the Canadian Tamil Congress connected with HRDAG to bring its campaign to Toronto’s annual Tamil Fest, one of the largest gatherings of Canada’s Sri Lankan diaspora.
Ravichandradeva, along with a few other volunteers, spent the weekend speaking with festival-goers in Scarborough about the project and encouraging them to come forward with information about deceased or missing loved ones and friends.
“The idea is to collect thorough, scientifically rigorous numbers on the total casualties in the war and present them as a non-partisan, independent organization,” said Michelle Dukich, a data consultant with HRDAG.
It took me a while to realize I had become part of the HRDAG incubator—at least that’s what it felt like to me—for young data analysts who wanted to use statistical knowledge to make a real impact on human rights debates.
When Patrick Ball was introduced to Ibero’s database, the director of research at the Human Rights Data Analysis Group in San Francisco, California, saw an opportunity to turn the data into a predictive model. Ball, who has used similar models to document human rights violations from Syria to Guatemala, soon invited Data Cívica, a Mexico City–based nonprofit that creates tools for analyzing data, to join the project.
“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.
Lum, Kristian, Megan Emily Price, and David Banks. 2013. The American Statistician 67, no. 4: 191-200. doi: 10.1080/00031305.2013.821093. © 2013 The American Statistician. All rights reserved. [free eprint may be available].
With help from HRDAG, Roman Rivera built the data backbone for the Invisible Institute's Citizens Police Data Project.
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 ...
In 2009, as Indians debated institutional reform of their security forces in the wake of the previous year's Mumbai attacks, HRDAG issued a groundbreaking report about the human cost of suspending the rule of law during a violent counterinsurgency campaign in the Indian state of Punjab. Together with our partner Ensaaf, HRDAG released findings that cast substantial doubt on the Indian government's past explanations and justifications for disappearances and extrajudicial killings during the height of the Punjab counterinsurgency in the early 1990s. These findings contribute to an increasing body of knowledge that informs policy questions about the ...
The Historic Archive of the Guatemalan National Police (hereafter the Archive) was discovered, quite by accident, in July 2005. Researchers immediately recognized both the importance and the fragility of the Archive's contents. As a result, in early 2006 the Archive team invited Patrick to evaluate the documents and help them answer a seemingly simple question: How can we learn about the contents of the Archive in a shorter period of time than is needed to systematically examine each individual document?
After inspecting the Archive, Patrick designed a multi-stage random sample of documents. In May 2006, Tamy Guberek, Daniel Guzmán, and ...
Michelle spent a weekend in Toronto, Canada, reaching out to the community at TamilFest, where she and a colleague invited people to sit down and talk.
We’re pleased to announce that Camille Fassett has joined our team as our new data science fellow.
HRDAG analysis presented by Patrick found that 5 percent of the indigenous Maya Ixil population was killed in a 15-month period.
Patrick Ball and Frances Harrison (2018). How many people disappeared on 17–19 May 2009 in Sri Lanka? Human Rights Data Analysis Group. 12 December 2018.© 2018 HRDAG. Creative Commons.
Patrick Ball and Frances Harrison (2018). How many people disappeared on 17–19 May 2009 in Sri Lanka? Human Rights Data Analysis Group. 12 December 2018.© 2018 HRDAG. Creative Commons.
In early 2012, HRDAG was commissioned by the UN Office of the High Commissioner for Human Rights (OHCHR) to do an enumeration project, essentially a count of all of the reported casualties in the Syrian conflict. HRDAG has published two analyses so far, the first in January 2013, and the second in June 2013. In this post, HRDAG scientists Anita Gohdes, Megan Price, and Patrick Ball answer questions about that project.
So, how many people have been killed in the Syrian conflict?
This is a complicated question. As of our last report, in June 2013, we know that there have been at least 93,000 reported, identifiable conflict-related casualties. The ...
I have made it my personal objective to amplify HRDAG's message of being extra careful and scientifically rigorous with human rights data.
HRDAG is helping the Invisible Institute turn their windfall of raw data about police misconduct into data that can be analyzed.
