708 results for search: %E3%80%8C%ED%95%AB%EB%AC%B4%EB%B9%84%E3%80%8D%20WWW%CD%BAHOTMOVIE%CD%BAPW%20%20%EC%B2%AD%EC%96%91%EB%8C%81%EC%9B%80%EC%A7%A4%20%EC%B2%AD%EC%96%91%EB%8C%81%EC%9B%90%EB%82%98%EC%9E%87%E2%97%8E%EC%B2%AD%EC%96%91%EB%8C%81%EC%9B%90%EB%B3%B8%C3%B2%EC%B2%AD%EC%96%91%EB%8C%81%EC%9C%A0%EC%B6%9C%E3%8A%AF%E3%82%85%E5%B5%BFslapping/feed/content/india/privacy


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.”


Low-risk population size estimates in the presence of capture heterogeneity

James Johndrow, Kristian Lum and Daniel Manrique-Vallier (2019). Low-risk population size estimates in the presence of capture heterogeneity. Biometrika, asy065, 22 January 2019. © 2019 Biometrika Trust. https://doi.org/10.1093/biomet/asy065

James Johndrow, Kristian Lum and Daniel Manrique-Vallier (2019). Low-risk population size estimates in the presence of capture heterogeneityBiometrika, asy065, 22 January 2019. © 2019 Biometrika Trust. https://doi.org/10.1093/biomet/asy065


Theoretical limits of microclustering for record linkage

James E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.

John E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.


Using Statistics to Assess Lethal Violence in Civil and Inter-State War

Patrick Ball and Megan Price (2019). Using Statistics to Assess Lethal Violence in Civil and Inter-State War. Annual Review of Statistics and Its Application, Volume 6. 7 March 2019. © 2019 Annual Reviews. All rights reserved. https://doi.org/10.1146/annurev-statistics-030718-105222.

Patrick Ball and Megan Price (2019). Using Statistics to Assess Lethal Violence in Civil and Inter-State War. Annual Review of Statistics and Its Application. 7 March 2019. © 2019 Annual Reviews. All rights reserved. https://doi.org/10.1146/annurev-statistics-030718-105222.


Our People

The Human Rights Data Analysis Group is composed of a diverse group of board members, full-time staff, and consultants. Employing a multidisciplinary approach, we work with experts in the fields of computer science, software development, mathematical and applied statistics, and demography. Advisory Board As a nonprofit organization, our Advisory Board serves as our governing body. This board helps us to make decisions, keeps us on track with our mission and goals, and oversees the organization in legal and logistical matters. David Banks, Professor, Statistical Science, Duke University Kim Keller, Executive Director, The Keller Foundation Dinah ...

Welcoming Our New Admistrative Coordinator

After a long search, we're pleased to welcome Suzanne Nathans as our new administrative "hub" at HRDAG. It was no easy feat to find someone whose skills and experience promise to be such a good fit with our team. Suzanne comes to HRDAG with  a great deal of experience in nonprofit administration, success stories in operations, communications, and organization, and warmth and compassion. (more…)

HRDAG’s Year in Review: 2022

This past year at HRDAG has been about continuing efforts to uncover the truth.

Syrian civil war death toll exceeds 190,000, U.N. reports

Ayan Sheikh of PBS News Hour reports on the UN Office of the High Commissioner of Human Right’s release of HRDAG’s third report on reported killings in the Syrian conflict. From the article: The latest death toll figure covers the period from March 2011 to April of this year, came from the Human Rights Data Analysis Group and is the third study of its kind on Syria. The analysis group identified 191,269 deaths. Data was collected from five different sources to exclude inaccuracies and repetitions. PBS News Hour Ayan Sheikh August 22, 2014 Link to story on PBS News Hour Related blogpost (Updated Casualty Count for Syria) Back to Press Room

New UN report counts 191,369 Syrian-war deaths — but the truth is probably much, much worse

Amanda Taub of Vox has interviewed HRDAG executive director about the UN Office of the High Commissioner of Human Right’s release of HRDAG’s third report on reported killings in the Syrian conflict. From the article: Patrick Ball, Executive Director of the Human Rights Data Analysis Group and one of the report's authors, explained to me that this new report is not a statistical estimate of the number of people killed in the conflict so far. Rather, it's an actual list of specific victims who have been identified by name, date, and location of death. (The report only tracked violent killings, not "excess mortality" deaths from from disease or ...

Haiti

In 1995, the Haitian National Commission for Truth and Justice (CNVJ) requested the advice of the American Association for the Advancement of Science (AAAS) and Dr. Patrick Ball on how to develop a large-scale project to take the testimonies of several thousand witnesses of human rights abuses in Haiti. The team conducted work incorporating over 5,000 interviews covering over 8,500 victims to produce detailed regional analyses, using quantitative material from the interviews, historical, economic and demographic analysis.

Our Copyright Policy

We have specified "Some Rights Reserved" on our website, instead of the more conventional "All Rights Reserved." This is because some of our web content is covered by a Creative Commons license, which means that it may be copied and even re-purposed, with some stipulations. We have made this decision because HRDAG wants to contribute to the digital commons, defined by Creative Commons as "a pool of content that can be copied, distributed, edited, remixed, and built upon, all within the boundaries of copyright law." Our Creative Commons License We are using the Attribution-NonCommercial-ShareAlike license, also known as the BY-NC-SA license. Here is ...

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.”


Coders Bare Invasion Death Count


Data Science Symposium at Vanderbilt

Patrick Ball keynoted the Data Science Symposium at Vanderbilt University.

HRDAG and the Trial of José Efraín Ríos Montt

At some point in the next week, HRDAG's executive director, Patrick Ball, will be providing expert testimony in the trial of General José Efraín Ríos Montt, the de-facto president of Guatemala in 1982-1983. Gen. Ríos is being tried on charges of genocide and crimes against humanity. (His military intelligence director, Gen. Mauricio Rodríguez Sánchez is also on trial.) Patrick will testify on approximately April 15-18, 2013, and he may begin as early as this Friday, April 12. The trial opened on March 20, 2013, in the Supreme Court building in Guatemala City. According to an Open Society Justice Initiative blogpost covering the event, the ...

How Data Analysis Reconsiders Deaths During Arrest

The US Bureau of Justice collects information on deaths during arrest, and HRDAG determined the efforts were incomplete. The conclusion: Approximately one third of all Americans killed by strangers are killed by police.

Calculations for the Greater Good

Rollins School of Public HealthAs executive director of the Human Rights Data Analysis Group, Megan Price uses statistics to shine the light on human rights abuses.


Using Machine Learning to Help Human Rights Investigators Sift Massive Datasets

How we built a model to search hundreds of thousands of text messages from the perpetrators of a human rights crime.

Recognising Uncertainty in Statistics

100x100-the-engine-roomIn Responsible Data Reflection Story #7—from the Responsible Data Forum—work by HRDAG affiliates Anita Gohdes and Brian Root is cited extensively to make the point about how quantitative data are the result of numerous subjective human decisions. An excerpt: “The Human Rights Data Analysis Group are pioneering the way in collecting and analysing figures of killings in conflict in a responsible way, using multiple systems estimation.”


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