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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.
Stephen Fienberg 1942-2016
We are saddened by the passing of Steve Fienberg yesterday in Pittsburgh, at the age of 74. He is perhaps best known around the world for bringing statistics to science and public policy and was a beloved professor at Carnegie Mellon University. At HRDAG we are in awe of and grateful for the work Steve did formalizing multiple systems estimation. His work on that front blazed a trail and essentially enabled all of our most important analytical work at the intersection of human rights and statistical science.
If we are to reduce the amount of human violence in the world, the first task is to determine the scope of the violence, to know how much of ...
Megan Price Elected Board Member of Tor Project
Today The Tor Project announced that it has elected a new Board of Directors, and among them is HRDAG executive director Megan Price. The Tor Project is a nonprofit advocacy group that promotes online privacy and provides software that helps users opt out of online tracking.
Megan and Patrick have long maintained that encryption and privacy are essential for enabling human rights work. Patrick's ideas are described in Monday's FedScoop story about encryption, human rights, and the U.S. State Department.
“Human rights groups depend on strong cryptography in order to hold governments accountable," says Patrick. "HRDAG depends on local human ...
Beka Steorts Named MIT Under-35 Innovator
We’ve known for years that Beka Steorts is on the cutting-edge of statistical science, and now The MIT Technology Review has realized the same. Last week she was named one of 35 Innovators Under 35, in the category of humanitarian.
We first became familiar with Beka's work in 2013 when she was a visiting professor at Carnegie Mellon and was introduced to us by Prof. Steve Fienberg. Since then, we’ve felt very fortunate to collaborate with her on projects such as the UN enumeration of casualties in the Syrian conflict, and we look forward to many more years of work with her. She is one of several young stars we include in our superheroine hall ...
HRDAG at FAT* 2020: Pre-Trial Risk Assessment Tools
How do police officer booking decisions affect pre-trial risk assessment tools relied upon by judges?
Welcoming Our 2019 Visiting Analyst
Valentina Rozo Ángel has joined our team as our new visiting analyst this fall.
Welcoming Our 2019 Data Science Fellow
We’re pleased to announce that Camille Fassett has joined our team as our new data science fellow.
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.
Disrupt San Francisco TechCrunch 2018
On September 7, 2018, Kristian Lum and Patrick Ball participated in a panel at Disrupt San Francisco by TechCrunch. The talk was titled "Dismantling Algorithmic Bias." Brian Brackeen of Kairos was part of the panel as well, and the talk was moderated by TechCrunch reporter Megan Rose Dickey.
From the TechCrunch website, "Disrupt is a 3-day conference focused on breaking technology news and developments with big-name thought leaders who are making waves in the industry."
Video of the talk is available here, and Megan Rose Dickey's coverage is here.
Guatemala 1993-1999 – Using MSE to Estimate the Number of Deaths
Propelled by the impact of data analysis in El Salvador, Patrick Ball applied his WDWTW model to human rights information in other countries. Throughout the 1990’s, Ball worked at the American Association for the Advancement of Science (AAAS) analyzing large-scale human rights violations in Ethiopia, South Africa, Haiti and Guatemala. Together with senior scientific colleagues, including statistician Dr. Herb Spirer, Ball developed new methods for analyzing state-sanctioned violence. This chapter documents how the research expanded when a group of nongovernmental organizations in Guatemala asked the scientific community to gather and analyze ...
A Comparison of Marginal and Conditional Models for Capture–Recapture Data with Application to Human Rights Violations Data
Shira Mitchell, Al Ozonoff, Alan Zaslavsky, Bethany Hedt-Gauthier, Kristian Lum and Brent Coull (2013). A Comparison of Marginal and Conditional Models for Capture-Recapture Data with Application to Human Rights Violations Data. Biometrics, Volume 69, Issue 4, pages 1022–1032, December 2013. © 2013, The International Biometric Society. DOI: 10.1111/biom.12089.
Shira Mitchell, Al Ozonoff, Alan Zaslavsky, Bethany Hedt-Gauthier, Kristian Lum and Brent Coull (2013). A Comparison of Marginal and Conditional Models for Capture-Recapture Data with Application to Human Rights Violations Data. Biometrics, Volume 69, Issue 4, pages 1022–1032, December 2013. © 2013, The International Biometric Society. DOI: 10.1111/biom.12089.
Data-Driven Efforts to Address Racial Inequality
From the article: “As we seek to advance the responsible use of data for racial injustice, we encourage individuals and organizations to support and build upon efforts already underway.” HRDAG is listed in the Data Driven Activism and Advocacy category.
How We Choose Projects
For more than 20 years, HRDAG has been carving out a niche in the international human rights movement. We know what we’re good at and what we’re not qualified to do. We know what quantitative questions we think are important for the community, and we know what we like to do. These preferences guide us as we consider whether to take on a project. We’re scientists, so our priorities will come as no surprise. We like to stick to science (not ideology), avoid advocacy, answer quantifiable questions, and increase our scientific understanding.
While we have no hard-and-fast rules about what projects to take on, we organize our deliberation ...
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.”
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.
HRDAG and AHPN Launch Book Detailing Collaboration
Earlier this month, HRDAG and the Historic Archive of the National Police (AHPN) of Guatemala launched a book that represents a long-time collaboration between the two organizations. The book, “Una mirada al AHPN a partir de un studio de cuantitativo,” is, as the title states, a look at the Archive’s datasets via a quantitative study. Book authors are HRDAG executive director Megan Price and AHPN colleague Carolina López, with translations by Beatriz Vejarano. The book is available in Spanish and forthcoming in English.
The book explains how HRDAG and the Archive worked together over a decade to gain insight into the police activities that ...
Ten Years and Counting in Guatemala
We have accomplished so much in the last 10 years at the Historical Archive of the National Police. And yet, despite the efforts, dedication, and commitment of each person who since 2006 has worked in the AHPN, we still can not say “mission accomplished.”
In 10 years the environment at the Archive has changed so much and become so full of life. Where the building once sheltered unknown stories, over time some of those stories have been revealed. But Guatemala has a long way to go in letting the world get to know more deeply about the secrets within the documents stored there.
Guatemalans and the rest of the world have a very important ...
Accountability at home and abroad
Dear friends,
Our spirits were really on the ground on Wednesday, but they lifted at the board meeting we had at the Human Rights Data Analysis Group on Thursday. Executive Director Megan Price, Director of Research Patrick Ball, and the Board drafted these thoughts which we'd like to share with you.
For more than twenty-five years, we have held heads of state accountable for human rights violations. We support our partners and advocates in the human rights field. They collect data which we analyze using technical and scientific expertise. Those scientific results bring clarity to human rights violence and support the fight for justice.
...
HRDAG’s Year in Review: 2024
In 2024, HRDAG maximized AI's strengths to support partners.