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<< Previous post, MSE: The Matching Process
Q10. What is stratification?
Q11. [In depth] How do HRDAG analysts approach stratification, and why is it important?
Q12. How does MSE find the total number of violations?
Q13. [In depth] What are the assumptions of two-system MSE (capture-recapture)? Why are they not necessary with three or more systems?
Q14. What statistical model(s) does HRDAG typically use to calculate MSE estimates? (more…)
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With HRDAG's help, the University of Washington Center for Human Rights team has been able to analyze the scraped text and search for key words such as “jail” in order to gain insight into where immigration arrests are being made.
A new study has estimated that over 500 Tamils were forcibly disappeared in just three days, after surrendering to the Sri Lankan army in May 2009.
The study, carried out by the Human Rights Data Analysis Group and the International Truth and Justice Project, based on compiled lists which identify those who were known to have surrendered, estimated that 503 people had been forcibly disappeared between the 17th– 19th of May 2009.
When working with documents in an archive, every document offers the opportunity for statistical study and quantitative research. But a document can also offer the discovery of a story. That is the case with the disappearance of Ana Lucrecia Orellana Stormont, who was reported missing on June 6, 1983, at the age of 35.
Ana Lucrecia, a professor of psychology at the University of San Carlos, was scheduled to attend a meeting with Edgar Raúl Rivas Rodríguez at the Plaza Hotel in Guatemala’s capital city. Edgar, who also went missing, was a teacher at the School of Political Science at the University. (Ana Lucrecia’s case is explained more fully ...
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Job Title. Technical lead with a hacker's heart
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What we do. The Human Rights Data Analysis Group (HRDAG) develops statistical techniques to measure human rights atrocities. Our work helps bring dictators to justice through data analysis of human rights atrocities around the world. Over more than 20 years, our small team has developed technology and statistical techniques to take disjoint, incomplete, and inaccurate information from conflict zones and process it to identify ...
Last month Significance magazine published an article on the topic of predictive policing and police bias, which I co-authored with William Isaac. Since then, we've published a blogpost about it and fielded a few recurring questions. Here they are, along with our responses.
Do your findings still apply given that PredPol uses crime reports rather than arrests as training data?
Because this article was meant for an audience that is not necessarily well-versed in criminal justice data and we were under a strict word limit, we simplified language in describing the data. The data we used is a version of the Oakland Police Department’s crime report...
We’re very happy to announce that our executive director, Patrick Ball, has been elected as a Fellow of the American Statistical Association (ASA), as announced by ASA President Nathaniel Schenker. Patrick is one of 63 new ASA Fellows to be honored this year in a ceremony at the Joint Statistical Meetings, which will take place this August 5 in Boston, Massachusetts. (more…)
In 2018, HRDAG collaborated on work in Guatemala, US criminal justice, and more.
HRDAG built a machine-learning tool to strip the raw data of any potentially identifying information such as names and court case numbers. There was no "acceptable error rate."
Larry Barrett has joined HRDAG as a Human Rights and Data Science Intern until February, 2022.
Access to the records contained in archives is a concern shared by many. Archives support memory and free access to them strengthens democratic processes. Everyone should be allowed to see first-hand the records contained in an archive and be free to interpret them as needed.
Access to archives can increase knowledge on various topics and opens opportunities for different fields of knowledge. (more…)
Patrick Ball, Sheila Coronel, Mariel Padilla and David Mora (2019). Drug-related killings in the Philippines. Human Rights Data Analysis Group. 26 July 2019. © HRDAG 2019.
Patrick Ball, Sheila Coronel, Mariel Padilla and David Mora (2019). Drug-related killings in the Philippines. Human Rights Data Analysis Group. 26 July 2019. © HRDAG 2019.
I spent the two weeks over Easter working with Patrick and Megan in San Francisco, trying to figure out a strategy of how best to estimate the number of casualties the Syrian civil war has claimed in the past two years. In January, HRDAG published a report on the number of fully identified casualties reported in the Syrian Arab Republic between March 2011 and November 2012. The number of de-duplicated records of killings for this period was 59,648, a number that is likely to be an undercount since we know that many incidences of lethal violence in conflict go unreported, and that the unreported cases are not missing at random. (more…)
Kilómetro Cero is making a comparison of police killings in Puerto Rico and police killings in the non-territorial United States, and HRDAG is helping to organize the data.
HRDAG collaborated with Data for Justice Project on a tool tool allowing members of the public to visualize and analyze nearly a decade of Boston Police Department SWAT team after-action reports. Tarak Shah of HRDAG is named in the acknowledgments.
Bing Wang has joined HRDAG as a Visiting Data Science Student until the summer of 2020.
Romesh Silva and Patrick Ball. “The Demography of Conflict-Related Mortality in Timor-Leste (1974-1999): Empirical Quantitative Measurement of Civilian Killings, Disappearances & Famine-Related Deaths” In Statistical Methods for Human Rights, J. Asher, D. Banks and F. Scheuren, eds., Springer (New York) (2007)