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Multiple Systems Estimation: The Matching Process
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Q8. What do you mean by "overlap," and why are overlaps important?
Q9. [In depth] Why is automated matching so important, and what process do you use to match records?
Q8. What do you mean by "overlap," and why are overlaps important?
MSE estimates the total number of violations by comparing the size of the overlap(s) between lists of human rights violations to the sizes of the lists themselves. By "overlap," we mean the set of incidents, such as deaths, that appear on more than one list of human rights violations. Accurately and efficiently identifying overlaps between ...
Can the Armed Conflict Become Part of Colombia’s History?
Paula Amado and María Juliana Durán Fedullo reflect on how the Truth Commission may change Colombia’s history, finally officially acknowledging the 50-year conflict and its casualties, and reckoning with who did what to whom.
Las cifras de la CVR en el 2019
Las estimaciones se estratificaron por ubicación y perpetrador.
Reflections: Richard Savage’s Vision Fulfilled
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 ...
La estadística de mortalidad del conflicto en Perú
En ese artículo respondemos a una crítica del estudio de mortalidad que realizamos para la Comisión de la Verdad y Reconciliación en 2003.
HRDAG at Strata Conference 2014
Last Thursday, HRDAG co-founder and director of research Megan Price presented at Strata, the conference for data scientists and people who work with "big data." In her talk, she addressed the question of how we can know the actual number of conflict casualties in Syrian. Her short answer was, "We don't know." The longer answer was that we have a very good idea of how many conflict casualties have been reported, by several documentation groups, and that we're working on analyzing (more…)
HRDAG Testifies in Hissène Habré Trial
Last week HRDAG’s executive director, Patrick Ball, served as an expert witness for the prosecution in the trial of Hissène Habré, the ruler of Chad from 1982 to 1990. The trial is taking place in Dakar, Senegal, where the 73-year-old Habré has been living since 1990 when he fled Chad. He has already been sentenced to death in absentia in Chad.
Habré is being charged with war crimes, crimes against humanity, and torture that took place during his eight-year reign. The trial is happening at the Extraordinary African Chambers, which was inaugurated by Senegal and the African Union to try Habré. This is the first time that one country has ...
HRDAG and #GivingTuesday 2017
Help us hold human rights violators accountable!
Welcoming Our 2021-2022 Human Rights and Data Science Intern
Larry Barrett has joined HRDAG as a Human Rights and Data Science Intern until February, 2022.
Patrick Ball Honored as New ASA Fellow
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…)
HRDAG’s Year in Review: 2020
In 2020, HRDAG provided clarity on issues related to the pandemic, police misconduct, and more.
Predictive Policing Reinforces Police Bias
Issues surrounding policing in the United States are at the forefront of our national attention. Among these is the use of “predictive policing,” which is the application of statistical or machine learning models to police data, with the goal of predicting where or by whom crime will be committed in the future. Today Significance magazine published an article on this topic that I co-authored with William Isaac. Significance has kindly made this article open access (free!) for all of October. In the article we demonstrate the mechanism by which the use of predictive policing software may amplify the biases that already pervade our criminal ...
HRDAG Retreat 2015
I look at the beach and then at the table surrounded by nerds, deep in thought and conversation about Dirichlet priors, matching algorithms, and armed conflicts. This peculiar (in the best way) environment catalyzes a moment of reflection: how did I get here?
Four years ago, as a second-year statistics PhD student, I watched "Guatemala: The Secret Files" on PBS Frontline World. I listened to stories of family members who disappeared without answers or justice. Then the story shifted to the work being done by archivists and data experts at Guatemala's Historic Archive of the National Police. The scientists' pursuit of the truth energized me. I ...
Drug-Related Killings in the Philippines
HRDAG analysis shows that the government figures are a gross underestimation of the drug-related killings in the Philippines.
Identifiers of Detained Children Have Implications for Data Security and Estimation
Identifiers being sequential could make possible estimations of the population of detained children.
Reality and Risk in Our Mortality Study of the Peruvian TRC
HRDAG researchers and analysts at Peru's Truth and Reconciliation Commission (TRC) estimated conflict mortality due to violence using Capture-Recapture methods.
HRDAG Retreat 2022
A week in the California redwoods amongst a hodgepodge of people united by their passion for using quantitative analysis to combat injustice.