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Update on Work in Guatemala and the AHPN
HRDAG has sampled and analyzed documents at Guatemala's AHPN and has testified against war criminals based on that analysis.
How we make sure that nobody is counted twice: A peek into HRDAG's record de-duplication
HRDAG is currently evaluating the quality and completeness of the Kosovo Memory Book of the Humanitarian Law Center (HLC) in Belgrade, Serbia. The objective of the Kosovo Memory Book (KMB) is to commemorate every single person who fell victim to armed conflict in Kosovo from 1998 to 2000, either through death or disappearance.
While building and reviewing their database, one of the things that HLC has to do is “record linkage,” a process also known as “matching.” Matching determines whether two records are the same people (“a match”) or different people (“a non-match”). Matching helps to identify whether two existing records refer ...
Making Missing Data Visible in Colombia
Valentina Rozo Ángel has worked with HRDAG and the Colombian Truth Commission to acknowledge victims of the 50-year conflict who are not visible or easily counted.
Press Release, Timor-Leste, November 2006
Palo Alto, CA, November 12, 2006 –The Benetech® Initiative congratulates the Commission for Reception, Truth and Reconciliation (CAVR) and the Timorese people for the official release of the CAVR's final report Chega! in Australia today. The 2,500 page report uncovers previously unknown findings about past human rights abuses in Timor-Leste between 1974 and 1999. In particular, the report uncovers widespread and systematic human rights violations in Timor-Leste during the period 1974-1999.
Benetech's statistical analysis establishes that at least 102,800 (+/- 11,000) Timorese died as a result of the conflict. Approximately 18,600 (+/- 1000) ...
Identifiers of Detained Children Have Implications for Data Security and Estimation
Identifiers being sequential could make possible estimations of the population of detained children.
About Us
Who We Are
The Human Rights Data Analysis Group is a non-profit, non-partisan organization that applies rigorous science to the analysis of human rights violations around the world. We are a team with expertise in mathematical statistics, computer science, demography, and social science. We are non-partisan—we do not take sides in political or military conflicts, nor do we advocate any particular political party or government policy. However, we are not neutral: we are always in favor of human rights. We support the protections established in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and ...
Learning Day by Day: Quantitative Research at the AHPN
Working at the Historic Archive of the National Police (AHPN) of Guatemala, there are many skills I learned on the job. My many years of work on the team that studies the recovered documents have been like a custom-made course in how to do quantitative research.
The Archive documents I study are the result of 36 years of creation during civil war (1960 to 1996). Many of these documents are simply administrative—but we are able to use them to understand patterns that occurred during the conflict, to get a sense of what mattered to the National Police and what didn’t. Our quantitative research shows us the Police behavior in broad strokes. ...
Reflections: Minding the Gap
How might we learn what we don’t know? HRDAG associate Christine Grillo hits the wayback machine and recalls her first exposure to People Against Bad Things, ideas about bias and correlation versus causation, and truth.
Multiple Systems Estimation: Stratification and Estimation
<< 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…)
New analysis of World War II Korean “comfort women” held by Japanese
There may have been more undocumented World War II-era Korean "comfort women" than known.
HRDAG Retreat 2016
What do you get when you bring seven statisticians, one quantitative political scientist, a writer, a computer scientist, and an administrator together for four days in a vacation rental on California’s Russian River? A lot of code, a technical paper and book chapter revised, another paper started, a great hike in the Redwoods, descriptions of food poisoning and crash landings in war zones, and a lot of talk about feelings.
Did I mention feelings? On the first evening of the annual retreat of the Human Rights Data Analysis Group, executive director Megan Price asked us to go around the room and share how we were feeling on arrival. The request ...
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.
How Predictive Policing Reinforces Bias
Algorithmic tools like PredPol were supposed to reduce bias. But HRDAG has found that racial bias is baked into the data used to train the tools.
.Rproj Considered Harmful
We aim to produce code that is clear, replicatable across machines and operating systems, and that leaves an easy-to-follow audit trail.
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 ...
Reflections: A Love Letter to HRDAG
On the anniversary of the Universal Declaration of Human Rights, HRDAG executive director Megan Price tells us why she loves her work, and why she feels hopeful about the future.
Training with HRDAG: Rules for Organizing Data and More
I had the pleasure of working with Patrick Ball at the HRDAG office in San Francisco for a week during summer 2016. I knew Patrick from two workshops he previously hosted at the University of Washington’s Centre for Human Rights (UWCHR). The workshops were indispensable to us at UWCHR as we worked to publish a number of datasets on human rights violations during the El Salvador Civil War. The training was all the more helpful because the HRDAG team was so familiar with the data. As part of an impressive career which took him from Ethiopia and Kosovo to Haiti and El Salvador among others, Patrick himself had worked on gathering and analysing ...
Killings of Social Movement Leaders in Colombia
Using multiple system estimation, we estimate the total population of social movement leaders killed in Colombia during 2018.
HRDAG Analysis Supports Efforts to Hold Salvadoran Commanders Accountable for 1989 Jesuit Massacre
Almost a quarter century ago, on November 16, 1989, six Jesuit scholars, their housekeeper and her 15-year-old daughter were massacred inside the University of Central America (UCA) in San Salvador, El Salvador. Their chief target was the rector of the country’s leading university. The murders were carried out by members of the elite Atlacatl Battalion, acting on the direct orders of the highest-ranking members of the Salvadoran military. The United Nations–sponsored Truth Commission for El Salvador found that members of the Salvadoran military's high command “gave...the order to kill Father Ignacio Ellacuría and to leave no witnesses.” ...
Multiple Systems Estimation: The Matching Process
<<Previous post: Collection, Cleaning, and Canonicalization of Data
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 ...