667 results for search: %E3%80%8C%ED%8A%9C%EB%8B%9D%EB%90%9C%20%ED%8F%B0%ED%8C%85%E3%80%8D%20O6O~5OO~%C6%BC469%20%20%EC%9D%B4%EC%8B%AD%EB%8C%80%EB%85%80%EB%8F%99%EC%95%84%EB%A6%AC%EB%8D%B0%EC%9D%B4%ED%8C%85%20%EC%9D%B4%EC%8B%AD%EB%8C%80%EB%85%80%EB%8F%99%EC%95%84%EB%A6%AC%EB%8F%99%ED%98%B8%ED%9A%8C%E2%98%80%EC%9D%B4%EC%8B%AD%EB%8C%80%EB%85%80%EB%8F%99%EC%95%84%EB%A6%AC%EB%A7%8C%EB%82%A8%D1%87%EC%9D%B4%EC%8B%AD%EB%8C%80%EB%85%80%EB%8F%99%EC%95%84%EB%A6%AC%EB%AA%A8%EC%9E%84%E3%8A%A2%E3%83%A8%E4%9E%8Edesigning/feed/content/colombia/SV-report_2011-04-26.pdf

Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation

"Revolution Analytics will allow HRDAG to handle bigger data sets and leverage the power of R to accomplish this goal and uncover the truth." Director of Research Megan Price is quoted. REVOLUTION ANALYTICS Press release February 4, 2014 Link to press release Back to Press Room

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.

Documents of war: Understanding the Syrian Conflict

Megan Price, Anita Gohdes, and Patrick Ball. 2015. Significance 12, no. 2 (April): 14–19. doi: 10.1111/j.1740-9713.2015.00811.x. © 2015 The Royal Statistical Society. All rights reserved. [online abstract]

The True Dangers of AI are Closer Than We Think

William Isaac is quoted.

Quantifying Injustice

“In 2016, two researchers, the statistician Kristian Lum and the political scientist William Isaac, set out to measure the bias in predictive policing algorithms. They chose as their example a program called PredPol.  … Lum and Isaac faced a conundrum: if official data on crimes is biased, how can you test a crime prediction model? To solve this technique, they turned to a technique used in statistics and machine learning called the synthetic population.”

A Model to Estimate SARS-CoV-2-Positive Americans

We’ve built a model for estimating the true number of positives, using what we have determined to be the most reliable datasets—deaths.

Fourth CLS Story

THis story might be about Racial Justice Act work with San Francisco Public Defender’s Office

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 ...

Overbooking’s Impact on Pre-Trial Risk Assessment Tools

How do police officer booking decisions affect tools relied upon by judges?

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 ...

Nonprofits Are Taking a Wide-Eyed Look at What Data Could Do

In this story about how data are transforming the nonprofit world, Patrick Ball is quoted. Here's an excerpt: "Data can have a profound impact on certain problems, but nonprofits are kidding themselves if they think the data techniques used by corporations can be applied wholesale to social problems," says Patrick Ball, head of the nonprofit Human Rights Data Analysis Group. Companies, he says, maintain complete data sets. A business knows every product it made last year, when it sold, and to whom. Charities, he says, are a different story. "If you're looking at poverty or trafficking or homicide, we don't have all the data, and we're not going to," ...

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 ...

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 ...

Coming soon: HRDAG 2019 Year-End Review

The online version of the 2019 Year-End Review will appear in January 2020.            

Rise of the racist robots – how AI is learning all our worst impulses

“If you’re not careful, you risk automating the exact same biases these programs are supposed to eliminate,” says Kristian Lum, the lead statistician at the San Francisco-based, non-profit Human Rights Data Analysis Group (HRDAG). Last year, Lum and a co-author showed that PredPol, a program for police departments that predicts hotspots where future crime might occur, could potentially get stuck in a feedback loop of over-policing majority black and brown neighbourhoods. The program was “learning” from previous crime reports. For Samuel Sinyangwe, a justice activist and policy researcher, this kind of approach is “especially nefarious” because police can say: “We’re not being biased, we’re just doing what the math tells us.” And the public perception might be that the algorithms are impartial.

A better statistical estimation of known Syrian war victims

Researchers from Rice University and Duke University are using the tools of statistics and data science in collaboration with Human Rights Data Analysis Group (HRDAG) to accurately and efficiently estimate the number of identified victims killed in the Syrian civil war.

…

Using records from four databases of people killed in the Syrian war, Chen, Duke statistician and machine learning expert Rebecca Steorts and Rice computer scientist Anshumali Shrivastava estimated there were 191,874 unique individuals documented from March 2011 to April 2014. That’s very close to the estimate of 191,369 compiled in 2014 by HRDAG, a nonprofit that helps build scientifically defensible, evidence-based arguments of human rights violations.

Foundation of Human Rights Statistics in Sierra Leone

Richard Conibere (2004). Foundation of Human Rights Statistics in Sierra Leone (abstr.), Joint Statistical Meetings. Toronto, Canada.

Evaluation of the Kosovo Memory Book at Pristina

On February 4, 2015, at the National Archive in Pristina, Kosovo, HRDAG executive director Patrick Ball gave a presentation on research (done with  colleague Jule Krüger) about the database of the Kosovo Memory Book (KMB). The KMB is part of the Humanitarian Law Centre in Belgrade and Pristina). In this photo, Patrick is speaking, and HLC-Belgrade executive director emeritus Natasa Kandic and Professor Michael Spagat are at the table with him. At the laptop between Spagat and Patrick is Laza Lazarevic of HLC; he is part of the KMB team. About 130 people attended—a terrific response. Presentation on the research behind the Evaluation of the ...

Indirect Sampling to Measure Conflict Violence: Trade-offs in the Pursuit of Data That Are Good, Cheap, and Fast

Romesh Silva and Megan Price. “Indirect Sampling to Measure Conflict Violence: Trade-offs in the Pursuit of Data That Are Good, Cheap, and Fast.” Journal of the American Medical Association. 306(5):547-548. 2011. © 2011 JAMA. All rights reserved.

The Panic Button: High-Tech Protection for Human Rights Investigators

Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

Donate

HRDAG

Selected projects

Stay informed about our work

©2024 Human Rights Data Analysis Group. Some rights reserved.
HRDAG is a non-profit project of Community Partners®
Privacy Policy