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Welcoming Our 2018 Data Science Fellow

Shemika Lamare has joined the HRDAG team as our new data science fellow.

Colombia Report

Benetech Human Rights Program and Corporación Punto de Vista Issues Report on Sexual Violence in Colombia Researchers Find that Data About Sexual Violence is Difficult To Collect and Subject to Misinterpretation May 2, 2011, Palo Alto, CA — The Benetech Human Rights Program has issued a report with the Colombian NGO Corporación Punto de Vista which examines how quantitative data can be used to assess conflict related sexual violence in Colombia. Written by Francoise Roth, Tamy Guberek and Amelia Hoover Green, Using Quantitative Data to Assess Conflict-Related Sexual Violence in Colombia: Challenges and Opportunities notes that sexual violations ...

Lies, Damned Lies and Official Statistics

This essay in the Health and Human Rights Journal addresses attempts to undermine Covid-19 data collection.

Skoll World Forum 2018

Illuminating Data's Dark Side: Big data create conveniences, but we must consider who designs these tools, who benefits from them, and who is left out of the equation.

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…)

The True Dangers of AI are Closer Than We Think

William Isaac is quoted.


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.

A Data Double Take: Police Shootings

“In a recent article, social scientist Patrick Ball revisited his and Kristian Lum’s 2015 study, which made a compelling argument for the underreporting of lethal police shootings by the Bureau of Justice Statistics (BJS). Lum and Ball’s study may be old, but it bears revisiting amid debates over the American police system — debates that have featured plenty of data on the excessive use of police force. It is a useful reminder that many of the facts and figures we rely on require further verification.”


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.


Big data may be reinforcing racial bias in the criminal justice system

Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.

Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.


Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation

“Revolution Analytics will allow HRDAG to handle bigger data sets and leverage the power of R to accomplish this goal and uncover the truth.” Director of Research Megan Price is quoted


At Toronto’s Tamil Fest, human rights group seeks data on Sri Lanka’s civil war casualties

Earlier this year, the Canadian Tamil Congress connected with HRDAG to bring its campaign to Toronto’s annual Tamil Fest, one of the largest gatherings of Canada’s Sri Lankan diaspora.

Ravichandradeva, along with a few other volunteers, spent the weekend speaking with festival-goers in Scarborough about the project and encouraging them to come forward with information about deceased or missing loved ones and friends.

“The idea is to collect thorough, scientifically rigorous numbers on the total casualties in the war and present them as a non-partisan, independent organization,” said Michelle Dukich, a data consultant with HRDAG.


Direct procès Habré: le taux de mortalité dans les centres de détention, au menu des débats

Statisticien, Patrick Ball est à la barre ce vendredi matin. L’expert est entendu sur le taux de mortalité dans les centres de détention au Tchad sous Habré. Désigné par la chambre d’accusation, il dira avoir axé ses travaux sur des témoignages, des données venant des victimes et des documents de la DDS (Direction de la Documentation et de la Sécurité).


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 ...

Data coding and inter-rater reliability (IRR)

Data coding is the process of converting unstructured information, such as a narrative testimony, into discrete facts such as names and roles of actors (victims, witnesses, perpetrators) in crimes, as well as the date and place of act. Data coding must not discard or distort information. When more than one person is identifying, classifying and counting the elements reported in a qualitative source, the results of what they find may differ slightly based on each individual's interpretation and care in doing the coding. These differences can be measured by measuring IRR (inter-rater reliability). We give the same source document to several coders and ...

A Definition of Database Design Standards for Human Rights Agencies.

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Patrick Ball. “A Definition of Database Design Standards for Human Rights Agencies.” © 1994 American Association for the Advancement of Science. [pdf]


Using Data to Reveal Human Rights Abuses

Profile touching on HRDAG’s work on the trial and conviction of Hissène Habré, its US Policing Project, data integrity, data archaeology and more.


How data science is changing the face of human rights

100x100siliconangleOn the heels of the Women in Data Science conference, HRDAG executive director Megan Price says, “I think creativity and communication are probably the two most important skills for a data scientist to have these days.”


How Machine Learning Makes Visible Gender-Based Violence by Police

Sexual misconduct by police sometimes gets buried through official coding procedures. In Chicago, HRDAG processed police misconduct documents to give visibility to allegations that would otherwise be lost.

Documenting Syrian Deaths with Data Science

Coverage of Megan Price at the Women in Data Science Conference held at Stanford University. “Price discussed her organization’s behind-the-scenes work to collect and analyze data on the ground for human rights advocacy organizations. HRDAG partners with a wide variety of human rights organizations, including local grassroots non-governmental groups and—most notably—multiple branches of the United Nations.”


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.

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