683 results for search: %E3%80%8E%EB%85%BC%EC%82%B0%EB%8C%80%ED%99%94%E3%80%8F%20%D5%956%D5%95%E3%85%A19%D5%952%E3%85%A18998%20%EB%8F%BC%EC%A7%80%EB%9D%A0%EB%8F%8C%EC%8B%B1%EB%AA%A8%EC%9E%84%20%EC%84%B1%EC%9D%B8%EB%8D%B0%EC%9D%B4%ED%8C%85%E2%9C%BA%EB%AA%B8%EB%A7%A4%EB%85%80%EB%A7%8C%EB%82%A8%E3%8B%97%EB%B9%84%EA%B3%B5%EA%B0%9C%EB%8C%80%ED%99%94%20%E3%83%90%E5%84%AD%20herbarium/feed/content/colombia/SV-report_2011-04-26.pdf


Activist Combines Human Rights and Data Technology


Condenan a responsables de desaparición de García


The Forensic Humanitarian


Procès Hissène Habré : Le statisticien fait état d’un taux de mortalité de 2,37% par jour

Les auditions d’experts se poursuivent au palais de justice de Dakar sur le procès de l’ex-président tchadien Hissène Habré. Hier, c’était au tour de Patrick Ball, seul inscrit au rôle, commis par la chambre d’accusation de N’Djamena pour dresser les statistiques sur le taux de mortalité dans les centres de détention.


To Combat Human Rights Abuses, California Company Looks to Computer Code


Martus – Paramilitary Protection for Activists


Rain soaks homeless Haitians, collapses shacks


Covid-19 Research and Resources

HRDAG is identifying and interpreting the best science we can find to shed light on the global crisis brought on by the novel coronavirus, about which we still know so little. Right now, most of the data on the virus SARS-CoV-2 and Covid-19, the condition caused by the virus, are incomplete and unrepresentative, which means that there is a great deal of uncertainty. But making sense of imperfect datasets is what we do. HRDAG is contributing to a better understanding with explainers, essays, and original research, and we are highlighting trustworthy resources for those who want to dig deeper. Papers and articles by HRDAG .ugb-bbeb275 .ugb-blo...

Por qué los datos casan con la hipótesis de que hubo genocidio


Data Security or Death


“El reto de la estadística es encontrar lo escondido”: experto en manejo de datos sobre el conflicto

In this interview with Colombian newspaper El Espectador, Patrick Ball is quoted as saying “la gente que no conoce de álgebra nunca debería hacer estadísticas” (people who don’t know algebra should never do statistics).


Tech Corner

The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. You can browse by Category or scroll to view find all articles listed.

South America

Colombia Perú

Data-driven crime prediction fails to erase human bias

Work by HRDAG researchers Kristian Lum and William Isaac is cited in this article about the Policing Project: “While this bias knows no color or socioeconomic class, Lum and her HRDAG colleague William Isaac demonstrate that it can lead to policing that unfairly targets minorities and those living in poorer neighborhoods.”


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.


Free Software

Patrick Ball (2005). “Free Software,” in The Encyclopedia of Science, Technology, and Ethics. ed. by Carl Mitcham. Farmington Hills, MI: Thomson Gale.


What happens when you look at crime by the numbers

Kristian Lum’s work on the HRDAG Policing Project is referred to here: “In fact, Lum argues, it’s not clear how well this model worked at depicting the situation in Oakland. Those data on drug crimes were biased, she now reports. The problem was not deliberate, she says. Rather, data collectors just missed some criminals and crime sites. So data on them never made it into her model.”


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 ...

Using Data and Statistics to Bring Down Dictators

In this story, Guerrini discusses the impact of HRDAG's work in Guatemala, especially the trials of General José Efraín Ríos Montt and Colonel Héctor Bol de la Cruz, as well as work in El Salvador, Syria, Kosovo, and Timor-Leste. Multiple systems estimation and the perils of using raw data to draw conclusions are also addressed. Megan Price and Patrick Ball are quoted, especially in regard to how to use raw data. “From our perspective,” Price says, “the solution to that is both to stay very close to the data, to be very conservative in your interpretation of it and to be very clear about where the data came from, how it was collected, what ...

History

HRDAG has been fortunate to have a long and exciting history that has taken us around the world to analyze data related to human rights violations. Along the way, we have met wonderful people, worked with amazing organizations and been a part of an amazing advancement of science through data analysis. This page highlights key moments in our history.

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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