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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…)
500 Tamils forcibly disappeared in three days, after surrendering to army in 2009
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.
RustConf 2019, and systems programming as a data scientist
It could make sense to use Rust as a data journalist for in-browser computations, and other thoughts from RustConf.
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…)
Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States
James Johndrow, Patrick Ball, Maria Gargiulo, and Kristian Lum. (2020). Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States. Harvard Data Science Review. 24 November, 2020. © The Authors, 2020, CC BY 4.0. https://doi.org/10.1162/99608f92.7679a1ed
James Johndrow, Patrick Ball, Maria Gargiulo, and Kristian Lum. (2020). Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States. Harvard Data Science Review. 24 November, 2020. © The Authors, 2020, CC BY 4.0. https://doi.org/10.1162/99608f92.7679a1ed
BJS Report on Arrest-Related Deaths: True Number Likely Much Greater
(This post is co-authored by Patrick Ball and Kristian Lum.)
Today the Bureau of Justice Statistics (BJS) released a report on their effort to document “all deaths that occur during the process of arrest in the United States.” The analysis estimates that the Arrest-Related Deaths (ARD) program covers only 34-49% of these deaths. A parallel program by the FBI (the Supplementary Homicide Reports, SHR) is estimated to cover approximately the same proportion of deaths. Even taking into consideration both programs, 28% of all police homicides remain unreported.
In order to estimate the total number of homicides that appear on neither the ARD or ...
How we go about estimating casualties in Syria—Part 1
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…)
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 ...
HRDAG’s Year End Review: 2018
In 2018, HRDAG collaborated on work in Guatemala, US criminal justice, and more.
Lessons at HRDAG: Holding Public Institutions Accountable
Principled Data Processing is a way to prove to someone, usually yourself, that what you did was right.
Remembering Scott Weikart
HRDAG’s core values all have a connection to Scott Weikart, 1951–2023.
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 ...
HRDAG Retreat 2014
Ten data nerds gathered in a large hilltop beach house to analyze counts of killings from several war-torn countries. The time was January 16-20, 2014, the place was near San Francisco, the agenda was packed, and I was excited to be there.
Having defended my dissertation at Carnegie Mellon University just days before, I had often supposed that my thesis on a generalization of
log-linear models for capture-recapture might serve little other purpose than to fill a line on my curriculum vitae. This perception faded after a mid-2013 discussion with Patrick convinced me that HRDAG's data challenges could easily be the best match to my research ...
Measuring the Mortality Consequences of Armed Conflict in Amritsar, India: A New Approach to the Indirect Sampling of Conflict-Related Mortality
Romesh Silva and Jeff Klingner. “Measuring the Mortality Consequences of Armed Conflict in Amritsar, India: A New Approach to the Indirect Sampling of Conflict-Related Mortality.” Poster presented at the Population Association of America 2011 Annual Meeting. © 2011 Benetech. Creative Commons BY-NC-SA.
Welcoming Our 2019-2020 Visiting Data Science Student
Bing Wang has joined HRDAG as a Visiting Data Science Student until the summer of 2020.
Preguntas frecuentes sobre el proyecto JEP-CEV-HRDAG de integración de datos y estimación estadística
¿Hay una fuente de información única sobre las víctimas del conflicto armado en Colombia?
No. Colombia cuenta con un amplio proceso de documentación de víctimas del conflicto armado. Cientos de entidades, organizaciones de víctimas y organizaciones de la sociedad civil han focalizado sus esfuerzos en registrar la información. Sin embargo, cada entidad u organización desarrolla este proceso con las limitaciones propias de capacidades técnicas, logísticas, sociales y de misionalidad, lo que conduce a que ninguna entidad ni organización logre documentar el universo completo de víctimas. Esto se debe a que les es imposible llegar a ...
Our Story
Dec 10, 1991
HRDAG is born when Patrick Ball begins database design at the Human Rights Office of the Salvadoran Lutheran Church. The work soon moves to the non-governmental Human Rights Commission (CDHES). The database analysis identified the 100 worst officers in the Salvadoran military — who were forced to resign as part of the peace process.
1994
Patrick publishes A Definit...
The impact of overbooking on a pre-trial risk assessment tool
Kristian Lum, Chesa Boudin and Megan Price (2020). The impact of overbooking on a pre-trial risk assessment tool. FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. January 2020. Pages 482–491. https://doi.org/10.1145/3351095.3372846 ©ACM, Inc., 2020.
Kristian Lum, Chesa Boudin and Megan Price (2020). The impact of overbooking on a pre-trial risk assessment tool. FAT* ’20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. January 2020. Pages 482–491. https://doi.org/10.1145/3351095.3372846 ©ACM, Inc., 2020.
HRDAG and #GivingTuesday 2017
Help us hold human rights violators accountable!