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Preguntas frecuentes sobre el proyecto JEP-CEV-HRDAG de integración de datos y estimación estadística
¿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 ...
Data on Kosovo Killings
The data on killings in Kosovo are in four files. All of the files are comma-delimited ASCII. The fields in each file are described below.
If you use these data on Kosovo killings, please cite them with the following citation, as well as this note:
“These are convenience sample data, and as such they are not a statistically representative sample of events in this conflict. These data do not support conclusions about patterns, trends, or other substantive comparisons (such as over time, space, ethnicity, age, etc.).”
Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovich, and Jana Asher. (2002). AAAS/ABA-CEELI/Human Rights Data ...
Liberia
In July 2009, The Human Rights Data Analysis Group (HRDAG) concluded a three-year project with the Liberian Truth and Reconciliation Commission to help clarify Liberia's violent history and hold perpetrators of human rights abuses accountable for their actions. (This work was conducted by HRDAG while with Benetech.)
In the course of this work, HRDAG analyzed more than 17,000 victim and witness statements collected by the Liberian Truth and Reconciliation Commission and compiled the data into a report entitled "Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission." The report is included as an annex to the final ...
FAQ about the JEP-CEV-HRDAG data integration and statistical estimation project
1. Is there a single source of information about the victims of the armed conflict in Colombia?
No. Colombia has an extensive documentation process for victims of the armed conflict. Hundreds of institutions, victims' organizations, and civil society organizations have focused their efforts on recording this information. However, each entity or organization develops their documentation process with its own limitations related to technical, logistical, social, and missionary capacities. No entity or organization is able to document the complete universe of victims. This is because it is impossible for them to reach every part of the country, ...
Data on Kosovo Migration
[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. ...
Revisiting the analysis of event size bias in the Iraq Body Count
(This post is co-authored by Patrick Ball and Megan Price)
In a recent article in the SAIS Review of International Affairs, we wrote about "event size bias," the problem that events of different sizes have different probabilities of being reported. In this case, the size of an event is defined by the number of reported victims. Our concern is that not all violent (in this case homicide) events are recorded, that is, some events will have zero sources. Our theory is that events with fewer victims will receive less coverage than events with more victims, and that a higher proportion of small events will have zero sources relative to large events.
The ...
Multiple Systems Estimation: Collection, Cleaning and Canonicalization of Data
<< Previous post: MSE: The Basics
Q3. What are the steps in an MSE analysis?
Q4. What does data collection look like in the human rights context? What kind of data do you collect?
Q5. [In depth] Do you include unnamed or anonymous victims in the matching process?
Q6. What do you mean by "cleaning" and "canonicalization?"
Q7. [In depth] What are some of the challenges of canonicalization? (more…)
CIIDH Data – Dictionary
Version date: 2000.01.29
Current version: ATV20.1
Patrick Ball & Herbert F. Spirer
The unit of analysis for each record in this structure is VIOLATION.
Each violation was of a particular type, happened at a particular time and place, and was committed by zero, one, or several organizational perpetrators. The violation was committed against zero or one named (individually identified) victim, and zero or more anonymous (unidentified) additional victims. The violation was reported one or more times in one, two, or three source types.
Note that to count the number of times individuals suffered particular violations, users should sum either the ...
Liberian TRC Data and Data Dictionary
The files linked on this page contain the data used in the calculations presented in Benetech's report to the Liberian Truth and Reconciliation Commission entitled "Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission." In accordance with Benetech's Memorandum of Understanding with the TRC, these data are published on the Internet so that others can use the material to replicate our findings and continue research on past human rights violations in Liberia. In order to protect the privacy of the people who suffered, the information in the files below contains no personal identifying information about the victims or ...
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 ...
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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...
When Data Doesn’t Tell the Whole Story
This blog is a part of International Justice Monitor’s technology for truth series, which focuses on the use of technology for evidence and features views from key proponents in the field.
As highlighted by other posts in this series, emerging technology is increasing the amount and type of information available, in some contexts, to criminal and other investigations. Much of what is produced by these emerging technologies (Facebook posts, tweets, YouTube videos, text messages) falls in the category we refer to as “found” data. By “found” data we mean data not generated for a specific investigation, but instead, that is generated for ...
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.
Learning to Learn: Reflections on My Time at HRDAG
So much of what I learned at HRDAG was intangible, and I'm grateful to have been able to go deep.
The task is a quantum of workflow
This post describes how we organize our work over ten years, twenty analysts, dozens of countries, and hundreds of projects: we start with a task. A task is a single chunk of work, a quantum of workflow. Each task is self-contained and self-documenting; I'll talk about these ideas at length below. We try to keep each task as small as possible, which makes it easy to understand what the task is doing, and how to test whether the results are correct.
In the example I'll describe here, I'm going to describe work from our Syria database matching project, which includes about 100 tasks. I'll start with the first thing we do with files we receive ...
Convenience Samples: What they are, and what they should (and should not) be used for
As noted on our Core Concepts page, we spend a lot of time worrying about the ways data are used to make claims about human rights violations. This is because inaccurate statistics can damage the credibility of human rights claims. Analyses of records of human rights violations are used to guide policy decisions, determine resource allocation for interventions, and inform transitional justice mechanisms. It is vital that such analyses are accurate.
Unfortunately, all too often these decisions are based, inappropriately, on analyses of a single convenience sample. (more…)