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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.
Welcoming Our New Data Scientist
We're thrilled to announce that Tarak Shah has joined our team as our new data scientist.
HRDAG’s Year End Review: 2019
In 2019, HRDAG aimed to count those who haven't been counted.
Welcoming Our 2019-2020 Visiting Data Science Student
Bing Wang has joined HRDAG as a Visiting Data Science Student until the summer of 2020.
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 ...
Welcoming Our 2019 Data Science Fellow
We’re pleased to announce that Camille Fassett has joined our team as our new data science fellow.
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, ...
Analysis of Homicide Patterns in Colombia
Last week Forensis, the Colombian National Institute of Forensic Medicine’s flagship publication, published the first of our analyses of homicide patterns in Colombia. Authored by HRDAG executive director Patrick Ball and UN colleague Michael Reed Hurtado, “Cuentas y mediciones de la criminalidad y de la violencia” (pages 529-545) explores, as the title suggests, the quality of “truth” contained within crime registries. Citing the problem of partial data, missing data, and inherent design bias, Patrick and Michael write that no register, official or unofficial, can present a true reflection of what has really happened.
This publication...
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 ...
New death toll estimated in Syrian civil war
Kevin Uhrmacher of the Washington Post prepared a graph that illustrates reported deaths over time, by number of organizations reporting the deaths.
Washington Post
Kevin Uhrmacher
August 22, 2014
Link to story on Washington Post
Related blogpost (Updated Casualty Count for Syria)
Back to Press Room
Why It Took So Long To Update the U.N.-Sponsored Syria Death Count
In this story, Carl Bialik of FiveThirtyEight interviews HRDAG executive director Patrick Ball about the process of de-duplication, integration of databases, and machine-learning in the recent enumeration of reported casualties in Syria.
New reports of old deaths come in all the time, Ball said, making it tough to maintain a database. The duplicate-removal process means “it’s a lot like redoing the whole project each time,” he said.
FiveThirtyEight
Carl Bialik
August 23, 2014
Link to story on FiveThirtyEight
Related blogpost (Updated Casualty Count for Syria)
Back to Press Room
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Introducing Structural Zero, HRDAG’s New Monthly Newsletter
I want to invite you to check out HRDAG's new newsletter, Structural Zero. It’s written by me and my colleagues Megan Price, Bailey Passmore, Tarak Shah, and Maria Gargiulo. Each month, one of us will write about a mathematical or scientific concept we use in our work and how it can be applied to understanding the world. We’ll offer some of the real world examples we've come across, including the times when we or our partners worked to collect and process data in very dangerous situations. We’ll talk about some of the key insights we've uncovered through our work, and the cultural context for understanding what those insights mean.
You ...
100 Women in AI Ethics
We live in very challenging times. The pervasiveness of bias in AI algorithms and autonomous “killer” robots looming on the horizon, all necessitate an open discussion and immediate action to address the perils of unchecked AI. The decisions we make today will determine the fate of future generations. Please follow these amazing women and support their work so we can make faster meaningful progress towards a world with safe, beneficial AI that will help and not hurt the future of humanity.
53. Kristian Lum @kldivergence
A Definition of Database Design Standards for Human Rights Agencies.
/wp-content/uploads/2013/01/Definition_of_Database_Design_Standards_1994.pdf
Patrick Ball. “A Definition of Database Design Standards for Human Rights Agencies.” © 1994 American Association for the Advancement of Science. [pdf]
Violence in Blue: The 2020 Update
HRDAG has refreshed a 2016 Granta article about homicides committed by police in the United States.
Predictive policing violates more than it protects
William Isaac and Kristian Lum. Predictive policing violates more than it protects. USA Today. December 2, 2016. © USA Today.
William Isaac and Kristian Lum. Predictive policing violates more than it protects. USA Today. December 2, 2016. © USA Today.
The Data Scientist Helping to Create Ethical Robots
Kristian Lum is focusing on artificial intelligence and the controversial use of predictive policing and sentencing programs.
What’s the relationship between statistics and AI and machine learning?
AI seems to be a sort of catchall for predictive modeling and computer modeling. There was this great tweet that said something like, “It’s AI when you’re trying to raise money, ML when you’re trying to hire developers, and statistics when you’re actually doing it.” I thought that was pretty accurate.