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FAT* Conference 2018

Kristian Lum spoke about "Understanding the Context and Consequences of Pre-Trial Detention" at the Conference on Fairness, Accountability, and Transparency (FAT*).

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.

HRDAG’s Year End Review: 2018

In 2018, HRDAG collaborated on work in Guatemala, US criminal justice, and more.

Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment

Laurel Eckhouse, Kristian Lum, Cynthia Conti-Cook and Julie Ciccolini (2018). Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment. Criminal Justice and Behavior. November 23, 2018. © 2018 Sage Journals. All rights reserved. https://doi.org/10.1177/0093854818811379

Laurel Eckhouse, Kristian Lum, Cynthia Conti-Cook and Julie Ciccolini (2018). Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment. Criminal Justice and Behavior. November 23, 2018. © 2018 Sage Journals. All rights reserved. https://doi.org/10.1177/0093854818811379


Lies, Damned Lies and Official Statistics

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

Data Collection and Documentation for Truth-Seeking and Accountability

Megan Price and Patrick Ball (2014). The Syrian Justice and Accountability Centre. © 2014 SJAC.Creative Commons BY-NC-SA.


Core Concepts

Inaccurate statistics can damage the credibility of human rights claims—and that's why we strive to ensure that statistics about human rights violations are generated with as much rigor and are as scientifically accurate as possible. But, what are the pitfalls leading to inaccuracy—when, where, and how do data become compromised? How are patterns biased by having only partial data? And what are the best scientific methods for collecting, managing, processing and analyzing data? Here are the data pitfalls that HRDAG has identified, as well as some of our approaches for meeting these challenges. We believe that human rights researchers must take ...

A Universal Declaration of a Few Data Rights

Today we celebrate the 65th anniversary of the Universal Declaration of Human Rights, which was adopted by the UN General Assembly on 10 December 1948. At HRDAG, we are non-partisan: we do not favor any party or government in conflicts. But we are not neutral: we are always in favor of human rights. We believe in the power and value of data; as we see it, data distills human actions and existence, all of which have power and value. With this in mind, we propose these seven articles that comprise our declaration of a few data rights (click through the links for some examples). Preamble Whereas data represents the suffering of human beings, Whereas ...

Reality and Risk in Our Mortality Study of the Peruvian TRC

HRDAG researchers and analysts at Peru's Truth and Reconciliation Commission (TRC) estimated conflict mortality due to violence using Capture-Recapture methods.

In Pursuit of Excellent Data Processing

With help from HRDAG, Roman Rivera built the data backbone for the Invisible Institute's Citizens Police Data Project.

500 Tamils disappeared in Army custody — New Study

The Sri Lankan army must explain to the families of the disappeared and missing what happened to an estimated 500 Tamils who disappeared in their custody at the war end on/around 18 May 2009, said two international NGOs who have been collating and analysing lists of names.

Sri Lanka has one of the largest numbers in the world of enforced disappearances but these 500 represent the largest number of disappearances all in one place and time in the country. For a detailed account of the process of estimating the 500 please see: “How many people disappeared on 17-19 May 2009 in Sri Lanka?” .


Datasets available for research

Over the last few years, we've tried to make the data organized in our projects publicly accessible. We have encouraged our partners to publish the data at the completion of the project. We continue to believe it is important to offer access to the data used in our projects for the sake of transparency as well as to encourage further research and analysis. However, we are increasingly concerned about how raw data are used. Data collected by what we can observe is what statisticians call a convenience sample, which is subject to selection bias. We're keeping these datasets available for researchers who want to use them for simulation or estimation ...

Quantifying Police Misconduct in Louisiana

HRDAG contributes to the project by helping to classify, filter, extract, and standardize the records so that they can be useful in the database.

Guatemala 2011 – Developing Sampling Methods to Help Convict Perpetrators

During 36 years of internal armed conflict, which ended in 1996, an estimated 200,000 Guatemalans were killed or disappeared. HRDAG researchers returned to Guatemala in 2006 to analyze a sample of the estimated 46 million records discovered in the archive of the now disbanded Guatemalan National Police. HRDAG statisticians Daniel Guzmán, Romesh Silva, Patrick Ball and Tamy Guberek, together with Paul Zador and Gary Shapiro of the American Statistical Association, developed a multi-stage random sample of the archive to get a clearer picture of its contents. Sampled documents shed light on the disappearance of Guatemalan union leader Edgar Fernando ...

Timor-Leste 2006 – Combining Found Data and Innovative Surveys To Uncover the Truth

Large-scale human rights violations in Timor-Leste began in 1975 when the Indonesian government invaded the small island and continued until Timorese independence in 1999. Disappearances, torture, forced displacement and extra-judicial killings took place during the Indonesian occupation compounded by a severe famine. Estimates of deaths ranged from 50,000 to 200,000, but individual sources reflected only a fraction of total fatalities. The Commission for Reception, Truth and Reconciliation in East Timor (CAVR) asked HRDAG to investigate abuses during the conflict. This chapter describes how Ball and HRDAG scientists Romesh Silva and Scott Weikart ...

New Research on Civilian Deaths and Disappearances in El Salvador

This rigorous estimate shows that 1-2 percent of the country’s population was killed or disappeared during the civil war.

Violence in Blue: The 2020 Update

HRDAG has refreshed a 2016 Granta article about homicides committed by police in the United States.

Machine learning is being used to uncover the mass graves of Mexico’s missing

“Patrick Ball, HRDAG’s Director of Research and the statistician behind the code, explained that the Random Forest classifier was able to predict with 100% accuracy which counties that would go on to have mass graves found in them in 2014 by using the model against data from 2013. The model also predicted the counties that did not have mass hidden graves found in them, but that show a high likelihood of the possibility. This prediction aspect of the model is the part that holds the most potential for future research.”


Justice Unknown, Justice Unsatisfied? Bosnian NGOs Speak about the International Criminal Tribunal for the Former Yugoslavia.

Kristen Cibelli and Tamy Guberek. “Justice Unknown, Justice Unsatisfied? Bosnian NGOs Speak about the International Criminal Tribunal for the Former Yugoslavia.” A project of Education and Public Inquiry and International Citizenship at Tufts University. December, 2000.


The UDHR Turns 70

We're thinking about how rigorous analysis can fortify debates about components of our criminal justice system such as cash bail, pretrial risk assessment and fairness in general.

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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