660 results for search: %7B%EC%95%A0%EC%9D%B8%EB%A7%8C%EB%93%A4%EA%B8%B0%7D%20www%2Ctada%2Cpw%20%20%EC%97%B0%EC%84%B1%EC%83%81%ED%99%A9%EA%B7%B9%20%EC%97%B0%EC%84%B1%EC%84%B1%EC%83%81%EB%8B%B4%E2%89%AA%EC%97%B0%EC%84%B1%EC%84%B1%EC%9D%B8%E2%97%87%EC%97%B0%EC%84%B1%EC%84%B1%EC%9D%B8%EC%89%BC%ED%84%B0%E2%92%A9%E3%83%81%E9%B8%97journeyman/feed/content/colombia/privacy
Multiple Systems Estimation: The Matching Process
<<Previous post: Collection, Cleaning, and Canonicalization of Data
Q8. What do you mean by "overlap," and why are overlaps important?
Q9. [In depth] Why is automated matching so important, and what process do you use to match records?
Q8. What do you mean by "overlap," and why are overlaps important?
MSE estimates the total number of violations by comparing the size of the overlap(s) between lists of human rights violations to the sizes of the lists themselves. By "overlap," we mean the set of incidents, such as deaths, that appear on more than one list of human rights violations. Accurately and efficiently identifying overlaps between ...
Evaluation of the Kosovo Memory Book
At the end of 2014 we completed the evaluation of the Kosovo Memory Book database and are pleased to conclude that the database has succeeded in documenting all or nearly all the human losses during conflicts in Kosovo during the period from 1998 to 2000.
With a motto of "Let people remember people," the goal of the Kosovo Memory Book (KMB) is to document all people who were killed or disappeared in connection with the war in Kosovo. The project aimed to document all human losses during armed conflict in the territory of the Former Yugoslav Republic (FYR) between 1998 and 2000.
The KMB database evaluation is the fruition of several years of ...
Counting the Dead in Sri Lanka
ITJP and HRDAG are urging groups inside and outside Sri Lanka to share existing casualty lists.
Outreach at Toronto TamilFest for Counting the Dead
Michelle spent a weekend in Toronto, Canada, reaching out to the community at TamilFest, where she and a colleague invited people to sit down and talk.
Welcoming Our New HRDAG Data Scientist
Bailey joined HRDAG as a data scientist in 2022.
Counting Casualties in Syria
Today the United Nations Office of the High Commissioner for Human Rights (OHCHR) released a report prepared by me and my colleagues describing the current state of reported killings in the Syrian Arab Republic from the beginning of the conflict in March 2011 through April 2013. (UN news release here.) This report is an update of work we published in January 2013. This updated analysis includes records from eight data sources documenting a total of 92,901 reported killings.
Our analysis begins with 263,055 total records reported by the eight data sources that include sufficient identifying information (name, date, and location*) to conduct ...
Fourth ALGO story
This is the fourth ALGO story.
The Case Against a Golden Key
Patrick Ball (2016). The case against a golden key. Foreign Affairs. September 14, 2016. ©2016 Council on Foreign Relations, Inc. All Rights Reserved.
Patrick Ball (2016). The case against a golden key. Foreign Affairs. September 14, 2016. ©2016 Council on Foreign Relations, Inc. All Rights Reserved.
The causal impact of bail on case outcomes for indigent defendants in New York City
Kristian Lum, Erwin Ma and Mike Baiocchi (2017). The causal impact of bail on case outcomes for indigent defendants in New York City. Observational Studies 3 (2017) 39-64. 31 October 2017. © 2017 Institute of Mathematical Statistics.
Kristian Lum, Erwin Ma and Mike Baiocchi (2017). The causal impact of bail on case outcomes for indigent defendants in New York City. Observational Studies 3 (2017) 39-64. 31 October 2017. © 2017 Institute of Mathematical Statistics.
Limitations of mitigating judicial bias with machine learning
Kristian Lum (2017). Limitations of mitigating judicial bias with machine learning. Nature. 26 June 2017. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Human Behavior. DOI 10.1038/s41562-017-0141.
.
Kristian Lum (2017). Limitations of mitigating judicial bias with machine learning. Nature. 26 June 2017. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Human Behavior. DOI 10.1038/s41562-017-0141.
Kosovo 1999 – Using MSE to Examine Political Claims
Patrick Ball expanded his use of multiple systems estimation (MSE) to clarify the history of a deadly conflict in Kosovo. The violence began in 1989 when Serbian President Slobodan Milošević revoked Kosovo's autonomous status within the Republic of Serbia triggering fighting between Kosovar Albanians and the Yugoslav government. Allegations of widespread and systematic human rights violations were made against Serbian forces and NATO intervened to repel Serb forces from Kosovo. Ball and Scheuren gathered data from Albanian border crossings and other sources in the region. They used this information to examine the claim by the Yugoslav government ...
Policy or Panic? The Flight of Ethnic Albanians from Kosovo, March–May, 1999.
Patrick Ball. Policy or Panic? The Flight of Ethnic Albanians from Kosovo, March–May, 1999. © 2000 American Association for the Advancement of Science, Science and Human Rights Program. [pdf – English][html – English][html – shqip (Albanian)] [html – srpski (Serbian)]
An Award for Anita Gohdes
On November 26, HRDAG colleague Anita Gohdes was awarded the German Dissertation Prize for the Social Sciences. The patron of the prize is the President of the German Parliament, Norbert Lammert, who presented Anita with the award.
Anita’s dissertation, “Repression 2.0: The Internet in the War Arsenal of Modern Dictators,” investigates the role played by social media networks in modern dictatorships, such as President Assad’s regime in Syria. On one hand, Anita argues, social media can help opposition groups to organize more effectively, but on the other hand, the same networks allow regimes to monitor and manipulate the population. ...
Changes at HRDAG
A special announcement from the HRDAG Advisory Board:
Beginning officially on December 1, HRDAG is changing leadership. After nearly three years as Executive Director, Patrick Ball will become the new Director of Research. Megan Price will be the new Executive Director.
Patrick has spent more than 25 years working at the intersection of human rights and statistical science. Over that time, he has finely honed statistical methodology for quantifying mass killings. Now he is excited about the chance to go deeper into research for HRDAG and develop additional approaches for new problems. In his new role, Patrick will focus more on technical coding ...
In Solidarity
We stand with our partners and every organizer fighting for justice.
Communiqué de presse, Tchad, January 2010
Une Nouvelle Etude Démontre qu’ Hissène Habré supervisait les Prisons de la Police Politique où des Milliers de Personnes Sont Décédées.
10ème Anniversaire de l’Inculpation de l’Ancien Dictateur Tchadien
Janvier 29, 2010, N’Djaména, Tchad, Palo Alto, CA, Etats-Unis – A l’occasion du 10ème anniversaire de la première mise en accusation d’Hissène Habré au Sénégal, le Groupe d'Analyse des Données de Droits Humains de Benetech (GADDH) a réalisé une nouvelle étude qui démontre que l’ancien dictateur tchadien était bien informé des politiques et des pratiques de sa police politique. Cette étude pourrait s’avérer ...
About Us
Who We Are
The Human Rights Data Analysis Group is a non-profit, non-partisan organization that applies rigorous science to the analysis of human rights violations around the world. We are a team with expertise in mathematical statistics, computer science, demography, and social science. We are non-partisan—we do not take sides in political or military conflicts, nor do we advocate any particular political party or government policy. However, we are not neutral: we are always in favor of human rights. We support the protections established in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and ...
Reflections: Pivotal Moments in Freetown
The summer of 2002 in Washington, DC, was steamy and hot, which is how I remember my introduction to HRDAG. I had begun working with them, while they were still at AAAS, in the late spring, learning all about their core concepts: duplicate reporting and MSE, controlled vocabularies, inter-rater reliability, data models and more. The days were long, with a second shift more often than not running late into the evening. In addition to all the learning, I also helped with matching for the Chad project – that is, identifying multiple records of the same violation – back when matching was done by hand. But it was not long after I arrived in Washington ...