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On the Use of Sample Surveys and Multiple Systems Estimations in Assessing Large-Scale Human Rights Violations: Recent Experiences from Timor-Leste.
Romesh Silva and Patrick Ball. “On the Use of Sample Surveys and Multiple Systems Estimations in Assessing Large-Scale Human Rights Violations: Recent Experiences from Timor-Leste.” Proceedings of the Social Statistics Section – Joint Statistical Meetings. New York, (USA). August, 2005.
Reflections: Pivotal Moments in Freetown
The summer of 2002 in Washington, DC, was steamy and hot, which is how I remember my introduction to HRDAG. I had begun working with them, while they were still at AAAS, in the late spring, learning all about their core concepts: duplicate reporting and MSE, controlled vocabularies, inter-rater reliability, data models and more. The days were long, with a second shift more often than not running late into the evening. In addition to all the learning, I also helped with matching for the Chad project – that is, identifying multiple records of the same violation – back when matching was done by hand. But it was not long after I arrived in Washington ...
Sri Lanka
Ten years after the war ended in Sri Lanka, we still don’t know to the nearest ten thousand how many people perished. The estimates for the death toll for the last five months of the war alone vary between 7000 and 147,000. In 2011, the UN said it thought approximately 40,000 civilians had died; then in 2012 an internal UN report estimated it was at least 70,000. Population data from World Bank and UN sources indicated that more than 100,000 Tamils living in the conflict areas in the north have not returned home after the war.
HRDAG has provided technical assistance to a broad range of non-governmental human rights organizations in Sri ...
Learning a Modular, Auditable and Reproducible Workflow
The modular nature of the workflow and use of Git allowed us to work on different parts of the project from across the country.
Communiqué de presse, Tchad, January 2010
Une Nouvelle Etude Démontre qu’ Hissène Habré supervisait les Prisons de la Police Politique où des Milliers de Personnes Sont Décédées.
10ème Anniversaire de l’Inculpation de l’Ancien Dictateur Tchadien
Janvier 29, 2010, N’Djaména, Tchad, Palo Alto, CA, Etats-Unis – A l’occasion du 10ème anniversaire de la première mise en accusation d’Hissène Habré au Sénégal, le Groupe d'Analyse des Données de Droits Humains de Benetech (GADDH) a réalisé une nouvelle étude qui démontre que l’ancien dictateur tchadien était bien informé des politiques et des pratiques de sa police politique. Cette étude pourrait s’avérer ...
The task is a quantum of workflow
This post describes how we organize our work over ten years, twenty analysts, dozens of countries, and hundreds of projects: we start with a task. A task is a single chunk of work, a quantum of workflow. Each task is self-contained and self-documenting; I'll talk about these ideas at length below. We try to keep each task as small as possible, which makes it easy to understand what the task is doing, and how to test whether the results are correct.
In the example I'll describe here, I'm going to describe work from our Syria database matching project, which includes about 100 tasks. I'll start with the first thing we do with files we receive ...
Timor-Leste
During the violence in Timor-Leste in June 2006, armed gangs broke into the offices of the Commission for Reception, Truth and Reconciliation (CAVR) in Dili and stole their motorbikes.
The Human Rights Data Analysis Group, then at Benetech®, and other human rights observers wondered whether the mobs would soon return to loot the irreplaceable paper records used by the CAVR to compile their definitive report entitled "Chega!"
The Benetech Initiative contributed to the CAVR findings and released a separate statistical report (PDF) establishing that at least 102,800 (+/- 11,000) Timorese died as a result of human rights violations in Timor-Leste ...
Multiple Systems Estimation: Collection, Cleaning and Canonicalization of Data
<< Previous post: MSE: The Basics
Q3. What are the steps in an MSE analysis?
Q4. What does data collection look like in the human rights context? What kind of data do you collect?
Q5. [In depth] Do you include unnamed or anonymous victims in the matching process?
Q6. What do you mean by "cleaning" and "canonicalization?"
Q7. [In depth] What are some of the challenges of canonicalization? (more…)
The Great Lessons in Research at the Archive
Doing an investigation on the contents of the Archive brought with it three major lessons. The first big lesson was the constant movement (nothing was static), The second great lesson was that everything evolved (the changes were a constant). The third major lesson was to discover how two institutions can work together while geographically far apart.
The constant movement
As there were other processes being carried out at the Archive, everything was in constant movement. In other words, one day the documents were in X location and tomorrow they may be in location Y or dispersed in multiple locations. This made it impossible to know with certai...
Learning to Learn: Reflections on My Time at HRDAG
So much of what I learned at HRDAG was intangible, and I'm grateful to have been able to go deep.
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.
Data on Kosovo Migration
[popup citation="For migrations: Ball, Patrick. (2000). AAAS/ Human Rights Data Analysis Group database of migrations in Albania and Kosovo. For killings: Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovich, and Jana Asher. (2002). AAAS/ABA-CEELI/Human Rights Data Analysis Group database of killings in Kosovo. For other data: Human Rights Data Analysis Group. (2002). Database of NATO airstrikes, geographic coding, and KLA activity in Kosovo."]
The data on migration from Kosovo are in seven files. All of the files are comma-delimited ASCII. The fields in each file are described below. For more information, see Policy or Panic, section A1, pp. ...
Innocence Discovery Lab – Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents
Ayyub Ibrahim, Huy Dao, and Tarak Shah (2024). “Innocence Discovery Lab - Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents." The Wrongful Conviction Law Review 5 (1):103-25. https://doi.org/10.29173/wclawr112. 31 May, 2024. Copyright (c) 2024 Ayyub Ibrahim, Huy Dao, Tarak Shah. Creative Commons Attribution 4.0 International License.
Ayyub Ibrahim, Huy Dao, and Tarak Shah (2024). “Innocence Discovery Lab – Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents.” The Wrongful Conviction Law Review 5 (1):103-25. https://doi.org/10.29173/wclawr112. 31 May, 2024. Copyright (c) 2024 Ayyub Ibrahim, Huy Dao, Tarak Shah. Creative Commons Attribution 4.0 International License.
Reflections on Data Science for Real-World Problems
Trina Reynolds-Tyler's internship at HRDAG helped her use data science to find patterns in state-sanctioned violence.
La estadĂstica de mortalidad del conflicto en PerĂş
En ese artĂculo respondemos a una crĂtica del estudio de mortalidad que realizamos para la ComisiĂłn de la Verdad y ReconciliaciĂłn en 2003.
Quantitative Research at the AHPN Guatemala
In early 2006 I joined the Historical Archive of the National Police (Archivo HistĂłrico de la PolicĂa Nacional, or AHPN) without knowing the impact it would have on my future. I started with cleaning, organizing and classifying documents—and learning, with other colleagues, what a historical archive is and how it works.
By April of that year, parallel to these learning processes, I was selected along with 20 other people to begin work on the challenging Quantitative Research project. I started as a "coder," transferring key content from documents into a database. (more…)
Can the Armed Conflict Become Part of Colombia’s History?
Paula Amado and MarĂa 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.
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 ...