314 results for search: 가평출장마사지☆［010-8226-1872） 매탄출장마사지✻청라출장마사지●수원출장마사지 일산출장마사지/content/colombia/privacy/content/colombia/results-paper.pdf
HRDAG Names New Board Members Julie Broome and Frank Schulenburg
We are pleased to announce that HRDAG will be supported by two additions to our Advisory Board, Julie Broome and Frank Schulenburg.
We’ve worked with Julie for many years, getting to know her when she was Director of Programmes at The Sigrid Rausing Trust. She is now the Director of London-based Ariadne, a network of European funders and philanthropists. She worked at the Trust for seven years, most notably Head of Human Rights, before becoming Director of Programmes in 2014. Before joining the Trust she was Programme Director at the CEELI Institute in Prague, where she was responsible for conducting rule of law-related trainings for judges and ...
Transitional Justice in Syria: Accountability and Reconciliation Conference
I spent last weekend in Istanbul at an excellent conference organized by the Syrian Center for Political and Strategic Studies (SCPSS). The conference included numerous non-governmental organizations (NGOs) from Syria as well as international human rights researchers and advocates. Families of victims told their stories, data collection groups discussed the challenges, and need, to document violations, transitional justice experts worried about infrastructure such as the police force and judicial system, and local leaders pledged to work together for peace.
I was invited to speak about HRDAG's recent report examining killings in Syria documented by ...
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.
Hunting for Mexico’s mass graves with machine learning
“The model uses obvious predictor variables, Ball says, such as whether or not a drug lab has been busted in that county, or if the county borders the United States, or the ocean, but also includes less-obvious predictor variables such as the percentage of the county that is mountainous, the presence of highways, and the academic results of primary and secondary school students in the county.”
Locating Hidden Graves in Mexico
For more than 10 years, and with regularity, Mexican authorities have been discovering mass graves, known as fosas clandestinas, in which hundreds of bodies and piles of bones have been found. The casualties are attributed broadly to the country’s “drug war,” although the motivations and perpetrators behind the mass murders are often unknown.
Recently, HRDAG collaborated with two partners in Mexico—Data Cívica and Programa de Derechos Humanos of the Universidad Iberoamericana—to model the probability of identifying a hidden grave in each county (municipio). The model uses an set of independent variables and data about graves from 2013 ...
Syria 2012 – Modeling Multiple Datasets in an Ongoing Conflict
The struggle between Syrian President Bashar al-Assad's regime and opposition forces has generated extensive global press coverage, but few accurate estimates of casualties. In January 2013, the United Nations Office of the High Commissioner for Human Rights (OHCHR) released a report on the number of conflict-related killings in Syria. The UN report is based on statistical analysis conducted by HRDAG scientists Megan Price, Jeff Klingner and Patrick Ball. This chapter examines HRDAG’s findings which compared information from a database collected by the Syrian government with six databases compiled by Syrian human rights activists and citizen ...
How Pretrial Risk Assessment Tools Perpetuate Unfairness
Tools like Compas allegedly help judges predict future criminal activities and eliminate bias. HRDAG and partners showed how the tools recycle bias.
Data Archaeology for Human Rights in Central America: HRDAG Collaborates with UWCHR
Patrick Ball is kicking himself for a decision he made almost 25 years ago. “I was clever, but I wasn’t smart,” he says ruefully, as he considers the labyrinth of tables and ASCII-encoded keystrings he used to design a database of human rights violations for the pioneering Salvadoran non-governmental Human Rights Commission (CDHES). Now I’m sitting in his office in San Francisco’s Mission District watching over his shoulder, and trying to keep up, as he bangs out code to decipher the priceless data contained in these old files. Created in 1991 and 1992, during the last days of El Salvador’s internal armed conflict, the files detail ...
HRDAG Offers New R Package – dga
Much of the work we do at HRDAG involves estimating the number of undocumented deaths using a statistical technique called multiple systems estimation (MSE, described in more detail here). One of our goals is to make this class of methods more broadly available to human rights researchers. In particular, we are finding that Bayesian approaches are extremely valuable for MSE. Accordingly, we are pleased to offer a new R package called dga (“decomposable graphs approach”) that performs Bayesian model averaging for MSE.
The main function in this package implements a model created by David Madigan and Jeremy York. This model was designed to ...
14 Questions about Counting Casualties in Syria
In early 2012, HRDAG was commissioned by the UN Office of the High Commissioner for Human Rights (OHCHR) to do an enumeration project, essentially a count of all of the reported casualties in the Syrian conflict. HRDAG has published two analyses so far, the first in January 2013, and the second in June 2013. In this post, HRDAG scientists Anita Gohdes, Megan Price, and Patrick Ball answer questions about that project.
So, how many people have been killed in the Syrian conflict?
This is a complicated question. As of our last report, in June 2013, we know that there have been at least 93,000 reported, identifiable conflict-related casualties. The ...
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 ...
Multiple Systems Estimation: The Matching Process
<<Previous post: Collection, Cleaning, and Canonicalization of Data
Q8. What do you mean by "overlap," and why are overlaps important?
Q9. [In depth] Why is automated matching so important, and what process do you use to match records?
Q8. What do you mean by "overlap," and why are overlaps important?
MSE estimates the total number of violations by comparing the size of the overlap(s) between lists of human rights violations to the sizes of the lists themselves. By "overlap," we mean the set of incidents, such as deaths, that appear on more than one list of human rights violations. Accurately and efficiently identifying overlaps between ...
Learning the Hard Way at the ICTY: Statistical Evidence of Human Rights Violations in an Adversarial Information Environment.
Amelia Hoover Green. In Collective Violence and International Criminal Justice: An Interdisciplinary Approach, ed. Alette Smeulers, Antwerp, Belgium. © 2010 Intersentia. All rights reserved. [Link coming soon]
Measuring Elusive Populations with Bayesian Model Averaging for Multiple Systems Estimation: A Case Study on Lethal Violations in Casanare, 1998-2007
Kristian Lum, Megan Price, Tamy Guberek, and Patrick Ball. “Measuring Elusive Populations with Bayesian Model Averaging for Multiple Systems Estimation: A Case Study on Lethal Violations in Casanare, 1998-2007,” Statistics, Politics, and Policy. 1(1) 2010. All rights reserved.
Reflections: Some Stories Shape You
The first time I met anyone at HRDAG, I was a journalist. It was 2006. I was working on a story about a graduate student at Carnegie Mellon who’d collaborated with the organization on a survey in Sierra Leone, and I contacted Patrick Ball to discuss the work. At the time, I found him challenging.
But I thought his work—trying to estimate how many people were killed, or, in that study, otherwise injured, during wars—was fascinating. Over the next few years, I got to know other researchers working on similar questions. In 2008, as the war in Iraq ramped up, I spoke with epidemiologists from Johns Hopkins University, the World Health Organiz...