418 results for search: A previziunea jocului「www,rt33,top」코드b77」PalestinaۑSenegalవBahrain Totoᅗbaccarat din CambodgiaΑToto experiența banilorẍPepper Savings Bank și Peppersຈloc de joacă⍇Prima ligă≆.amw
Kristian Lum in Bloomberg
The interview poses questions about Lum's focus on artificial intelligence and its impact on predictive policing and sentencing programs.
Skoll World Forum 2018
Illuminating Data's Dark Side: Big data create conveniences, but we must consider who designs these tools, who benefits from them, and who is left out of the equation.
Documenting Syrian Deaths with Data Science
Coverage of Megan Price at the Women in Data Science Conference held at Stanford University. “Price discussed her organization’s behind-the-scenes work to collect and analyze data on the ground for human rights advocacy organizations. HRDAG partners with a wide variety of human rights organizations, including local grassroots non-governmental groups and—most notably—multiple branches of the United Nations.”
HRDAG and #GivingTuesday 2017
Help us hold human rights violators accountable!
Our Thoughts on #metoo
Violence against women in all its forms is a human rights violation. Most of our HRDAG colleagues are women, and for us, unfortunately, recent campaigns such as #metoo are unsurprising.
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.
Reflections: Challenging Tasks and Meticulous Defenders
I have made it my personal objective to amplify HRDAG's message of being extra careful and scientifically rigorous with human rights data.
Reflections: A Meaningful Partnership between HRDAG and Benetech
I joined the Benetech Human Rights Program at essentially the same time that HRDAG did, coming to Benetech from years of analyzing data for large companies in the transportation, hospitality and retail industries. But the data that HRDAG dealt with was not like the data I was familiar with, and I was fascinated to learn about how they used the data to determine "who did what to whom." Although some of the methodologies were similar to what I had experience with in the for-profit sector, the goals and beneficiaries of the analyses were very different.
At Benetech, I was initially predominantly focused on product management for Martus, a free ...
Our Thoughts on the Violence in Charlottesville
This week, we join our friends and colleagues in feeling horrified by the violence in Charlottesville, Virginia. As we have for the past 26 years, we stand with the victims of violence and support human rights and dignity for all. We spend our careers observing and documenting mass political violence across the world. The demands by the so-called “alt-right” to normalize racism and social exclusion are all too familiar to us.
At HRDAG, our work is always guided by the Universal Declaration of Human Rights (UDHR). We reaffirm our commitment to these principles, in particular that the “recognition of the inherent dignity and of the equal and ...
Reflections: HRDAG Was Born in Washington
I began working with HRDAG in the summer of 2001 before it was ever even called HRDAG. In fact, not intended as a boast, I think I’m responsible for coming up with the name. After contracting with Dr. Patrick Ball for a time writing the Analyzer data management platform, I left New York City and joined him in Washington, DC, at AAAS in 2002. Soon after starting, Patrick decided to establish an identity for this new team, consisting mainly of myself, Miguel Cruz and a handful of field relationships. We discussed what to name it briefly in the AAAS Science & Policy break room, which at the time, being in the mind of unclever descriptive naming ...
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 ...
Reflections: Growing and Learning in Guatemala
As a woman, mother and sociologist who is curious about the patterns of our political past in Guatemala, I feel privileged to know and work with the HRDAG team. Collaborating and learning from people like Patrick, Megan, Suzanne, Beatriz and Tamy has been an invaluable gift. I have discovered many things, both human and academic. For example, I’ve learned new ways of seeing what seemed everyday and simple, to discover that not only do the social sciences and statistics work hand in hand, but that they are critical for understanding Guatemala’s reality.
Twenty years ago, on 29 December, 1996, Guatemala made history by signing the Guatemala Peace ...
Reflections: It Began In Bogotá
It was July of 2006, I’d spent five years working at a local human rights NGO in Bogotá, and I had reached retirement age. But then a whole new world opened up for me to discover. Tamy Guberek, then HRDAG Latin America coordinator, whom I had met at the NGO, approached me about becoming part of the HRDAG Colombia team as a research/administrative assistant. Over a cup of suitably Colombian coffee, the deal was quickly "signed.” My responsibilities ranged from fundraising to translations, from support in data gathering for estimates on homicides and disappearances in various regions of Colombia to editorial support to different Benetech-HRDAG ...
Reflections: Richard Savage’s Vision Fulfilled
In 1984, as a fresh PhD, I heard Richard Savage give his presidential address at the Joint Statistical Meetings in Philadelphia. He called it "Hard/Soft Problems" and made a big pitch for statisticians to get involved in human rights data analysis. It was inspirational, and I was immediately sold. I started working with the American Statistical Association's Committee on Scientific Freedom and Human Rights (now chaired by HRDAG's own Megan Price). Over time, a growing set of statisticians became involved, initially in letter-writing campaigns to help dissident statisticians (and other quantitative academics—economists seemed to have a particular ...
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 ...
HRDAG – 25 Years and Counting
Today is a very special day for all of us at HRDAG. This is, of course, the 68th anniversary of the Universal Declaration of Human Rights—but this day also marks our 25th year of using statistical science to support the advancement of human rights.
It started 25 years ago, in December 1991, in San Salvador, when Patrick Ball was invited to work with the Salvadoran Lutheran Church to design a database to keep track of human rights abuses committed by the military in El Salvador. That work soon migrated to the NGO Human Rights Commission (CDHES). Fueled by thin beer and pupusas, Patrick dove into the deep world of data from human rights testimonies, ...
A geeky deep-dive: database deduplication to identify victims of human rights violations
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 ...
Judges in Habré Trial Cite HRDAG Analysis
Three months after the announcement of the momentous verdict finding former Chadian president Hissène Habré guilty of crimes against humanity, the presiding judges have released the full, written 681-page judgment of the court. Testimony given by HRDAG’s director of research, Patrick Ball, is mentioned at three points in the verdict.
The judges included in their written judgment the HRDAG analysis that the mortality rate in Habré prisons was staggeringly high—much higher than the mortality rate among the population as a whole. Here’s an excerpt from the judgment, page 358 (translated by Google):
The statistical expert, Patrick Ball, ...
HRDAG and Amnesty International: Prison Mortality in Syria
Today Amnesty International released “‘It breaks the human’: Torture, disease and death in Syria’s prisons ,” a report detailing the conditions and mortality in Syrian prisons from 2011 to 2015, including data analysis conducted by HRDAG.
The report provides harrowing accounts of ill treatment of detainees in Syrian prisons since the conflict erupted in March 2011, and publishes HRDAG’s estimate of the number of killings that occurred inside the prisons.
To accompany the report, HRDAG has released a technical memo that explains the methodology, sources, and implications of the findings. The HRDAG team used data from four ...
Clustering and Solving the Right Problem
In our database deduplication work, we’re trying to figure out which records refer to the same person, and which other records refer to different people.
We write software that looks at tens of millions of pairs of records. We calculate a model that assigns each pair of records a probability that the pair of records refers to the same person. This step is called pairwise classification.
However, there may be more than just one pair of records that refer to the same person. Sometimes three, four, or more reports of the same death are recorded.
So once we have all the pairs classified, we need to decide which groups of records refer to the ...