706 results for search: %EB%8D%B0%EC%9D%B4%ED%8A%B8%EC%95%BC%EC%84%A4%EC%9D%B4%EC%95%BC%EA%B8%B0%E2%99%A4%ED%8C%9D%EC%BD%98%EB%B8%8C%EC%9D%B4%EC%95%8C%E2%99%88%CF%8E%CF%8E%CF%8E%2Cpopkon%2C%C3%97%C5%B7%C6%B6%E2%99%A4%20%EC%95%A0%EB%84%90%EC%98%81%ED%99%94%EC%8A%A4%ED%86%A0%EB%A6%AC%20%ED%83%84%EC%B2%9C%EB%A7%98%ED%95%98%EB%8A%94%E2%96%A1%EB%8F%84%EB%81%BC%EB%85%80%EC%97%89%EB%8D%A9%EC%9D%B42%E2%83%A3%EC%95%A0%EC%95%A1%EB%85%80%EC%98%81%ED%99%94%EC%8A%A4%ED%86%A0%EB%A6%AC%20%E7%86%9A%E9%88%86apostatize%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD/feed/content/colombia/copyright


Analizando los patrones de violencia en Colombia con más de 100 bases de datos

El objetivo de esta institución temporal es conocer la verdad de lo ocurrido en el  marco del conflicto armado.

Focus on Good Science, not Scientists

We recently learned about an article by Dr Nafeez Ahmed that criticizes the methods and conclusions of the Iraq Body Count (IBC) and the work of Professor Michael Spagat. Dr Ahmed cites our work extensively in support of his arguments, so we think it’s useful for us to reply. We welcome Dr Ahmed’s summary of various points of scientific debate about mortality due to violence, specifically in Iraq and Colombia. We think these are very important questions for the analysis of data about violent conflict, and indeed, about data analysis more generally. We appreciate his exploration of the technical nuances of this difficult field. Unfortunately, ...

FAQs on Predictive Policing and Bias

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...

Comments to the article ‘Is Violence Against Union Members in Colombia Systematic and Targeted?


HRDAG and #GivingTuesday 2017

Help us hold human rights violators accountable!

Using Quantitative Data to Assess Conflict-Related Sexual Violence in Colombia: Challenges and Opportunities.

Françoise Roth, Tamy Guberek, and Amelia Hoover Green. “Using Quantitative Data to Assess Conflict-Related Sexual Violence in Colombia: Challenges and Opportunities.” A report by the Benetech Human Rights Program and Corporación Punto de Vista. 22 March 2011. (Spanish.) © 2011 Benetech. Creative Commons BY-NC-SA.


Tech Corner

The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. Click the accordion blocks below to reveal each of the Tech Corner entries. Sifting Massive Datasets with Machine Learning Principled Data Processing  

Investigating Boston Police Department SWAT Raids from 2012 to 2020

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.


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.


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.


12 Questions about Using Data Analysis to Bring Guatemalan War Criminals to Justice

When people talk about war criminals in Guatemala, which war are they talking about? They’re talking about the Guatemalan civil war, which began in 1960 and ended in 1996. That’s thirty-six years of civil war. Even though it ended almost two decades ago, Guatemala is still recovering from it. At its simplest, this civil war story was right-wing government forces fighting leftist rebels. But it went deeper than that, of course. The majority of the rebel forces was composed of indigenous peoples, primarily the Maya, (more…)

Analyzing patterns of violence in Colombia using more than 100 databases

The institution’s objectives were to learn the truth about what happened during the armed conflict.

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.

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 ...

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 ...

Seeking the Truth with Documentation

The need to establish the truth around events is central to goals of transitional justice, particularly securing accountability, establishing legitimate and effective justice mechanisms, and laying the foundations for a peaceful society. Documentation to provide verifiable and widely accepted accounts of such events is a critical component of establishing this truth, or the multiple truths that may exist for a population. It is difficult to overstate the important role of documentation in transitional justice efforts. If some of what follows sounds familiar, echoing points of previous posts, it is no coincidence.  Documentation, in a word, is the ...

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 ...

Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

Donate