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¿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 ...
Weapons of Math Destruction: invisible, ubiquitous algorithms are ruining millions of lives. Excerpt:
As Patrick once explained to me, you can train an algorithm to predict someone’s height from their weight, but if your whole training set comes from a grade three class, and anyone who’s self-conscious about their weight is allowed to skip the exercise, your model will predict that most people are about four feet tall. The problem isn’t the algorithm, it’s the training data and the lack of correction when the model produces erroneous conclusions.
Text in English
[popup citation="Tamy Guberek, Daniel Guzmán, Megan Price, Kristian Lum and Patrick Ball. (2010). Benetech/Human Rights Data Analysis Group database of lethal violence in Casanare."]
Estimaciones de Homicidios y Desapariciones en Casanare
Casanare es un departamento extenso y rural de Colombia con 19 municipios y una población de casi 300.000 habitantes. Ubicado entre las faldas de los Andes y las planicies orientales, Casanare tiene una larga historia de violencia. Diversos grupos armados han hecho presencia en Casanare, entre ellos paramilitares, guerrillas y el ejército colombiano. Muchos habitantes del Casanare han sido vícti...
[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. ...
Last Thursday, HRDAG co-founder and director of research Megan Price presented at Strata, the conference for data scientists and people who work with "big data." In her talk, she addressed the question of how we can know the actual number of conflict casualties in Syrian. Her short answer was, "We don't know." The longer answer was that we have a very good idea of how many conflict casualties have been reported, by several documentation groups, and that we're working on analyzing (more…)
(This post is co-authored by Patrick Ball and Kristian Lum.)
In early March, the Bureau of Justice Statistics published a report that estimated that in the period 2003-2009 and 2011, there were approximately 7427 homicides committed by police in the US. We responded that the method the analysts used, capture-recapture with two databases, is vulnerable to underestimation if the databases exhibit positive dependence. We conduct a thorough sensitivity analysis on the original independence model as applied to the police homicides databases. We used information from several other countries where our partners created multiple databases of homicides. We ...
We’ve known for years that Beka Steorts is on the cutting-edge of statistical science, and now The MIT Technology Review has realized the same. Last week she was named one of 35 Innovators Under 35, in the category of humanitarian.
We first became familiar with Beka's work in 2013 when she was a visiting professor at Carnegie Mellon and was introduced to us by Prof. Steve Fienberg. Since then, we’ve felt very fortunate to collaborate with her on projects such as the UN enumeration of casualties in the Syrian conflict, and we look forward to many more years of work with her. She is one of several young stars we include in our superheroine hall ...
In our work, we merge many databases to figure out how many people have been killed in violent conflict. Merging is a lot harder than you might think.
Many of the database records refer to the same people--the records are duplicated. We want to identify and link all the records that refer to the same victims so that each victim is counted only once, and so that we can use the structure of overlapping records to do multiple systems estimation.
Merging records that refer to the same person is called entity resolution, database deduplication, or record linkage. For definitive overviews of the field, see Scheuren, Herzog, and Winkler, Data Quality ...
ed. by Taylor B. Seybolt, Jay D. Aronson, and Baruch Fischhoff. Oxford University Press. © 2013 Oxford University Press. All rights reserved.
The following four chapters are included:
— Todd Landman and Anita Gohdes (2013). “A Matter of Convenience: Challenges of Non-Random Data in Analyzing Human Rights Violations in Peru and Sierra Leone.”
— Jeff Klingner and Romesh Silva (2013). “Combining Found Data and Surveys to Measure Conflict Mortality.”
— Daniel Manrique-Vallier, Megan E. Price, and Anita Gohdes (2013). “Multiple-Systems Estimation Techniques for Estimating Casualties in Armed Conflict.”
— Jule Krüger, Patrick Ball, Megan Price, and Amelia Hoover Green (2013). “It Doesn’t Add Up: Methodological and Policy Implications of Conflicting Casualty Data.”
The Washington Post’s Paul Schemm recognized HRDAG’s work in Syria, in the category of research and activism. “HRDAG gained renown at the start of the war, when it was one of the few organizations that tried to put a number on the war’s enormous toll in Syrian lives.”
Help HRDAG use data science to work for justice, accountability, and human rights. We are nonpartisan and nonprofit, but we are not neutral; we are always on the side of human rights.
Cryptocurrency donations to 501(c)3 charities receive the same tax treatment as stocks. Your donation is a non-taxable event, meaning you do not owe capital gains tax on the appreciated amount and can deduct it on your taxes. This makes Bitcoin and other cryptocurrency donations one of the most tax efficient ways to support us.
We are a team of experts in machine learning, applied and mathematical statistics, computer science, demography, and social science, and ...
In this story about how data are transforming the nonprofit world, Patrick Ball is quoted. Here’s an excerpt: “Data can have a profound impact on certain problems, but nonprofits are kidding themselves if they think the data techniques used by corporations can be applied wholesale to social problems,” says Patrick Ball, head of the nonprofit Human Rights Data Analysis Group.
Companies, he says, maintain complete data sets. A business knows every product it made last year, when it sold, and to whom. Charities, he says, are a different story.
“If you’re looking at poverty or trafficking or homicide, we don’t have all the data, and we’re not going to,” he says. “That’s why these amazing techniques that the industry people have are great in industry, but they don’t actually generalize to our space very well.”
Help HRDAG use data science to work for justice, accountability, and human rights. We are nonpartisan and nonprofit, but we are not neutral; we are always on the side of human rights.
Cryptocurrency donations to 501(c)3 charities receive the same tax treatment as stocks. Your donation is a non-taxable event, meaning you do not owe capital gains tax on the appreciated amount and can deduct it on your taxes. This makes Bitcoin and other cryptocurrency donations one of the most tax efficient ways to support us.
We are a team of experts in machine learning, applied and mathematical statistics, computer science, demography, and social science, and ...
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
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On October 23, 2018, Patrick Ball keynoted at the Open Source Summit in Edinburgh, Scotland.
Wilkerson was speaking at the inaugural Conference on Fairness, Accountability, and Transparency, a gathering of academics and policymakers working to make the algorithms that govern growing swaths of our lives more just. The woman who’d invited him there was Kristian Lum, the 34-year-old lead statistician at the Human Rights Data Analysis Group, a San Francisco-based non-profit that has spent more than two decades applying advanced statistical models to expose human rights violations around the world. For the past three years, Lum has deployed those methods to tackle an issue closer to home: the growing use of machine learning tools in America’s criminal justice system.
The tension started in the witness room. “You could feel the stress rolling off the walls in there,” Patrick Ball remembers. “I can remember realizing that this is why lawyers wear sport coats – you can’t see all the sweat on their arms and back.” He was, you could say, a little nervous to be cross-examined by Slobodan Milosevic.
