645 results for search: %EB%AC%B8%EB%8D%95%EB%A7%98%EC%BB%A4%ED%94%8C%E2%99%A3%EC%84%B1%EC%9D%B8%ED%8F%B0%ED%8C%85%E2%9C%AA%C5%B4%C5%B4%C5%B4%CC%A8PANE%CC%A8P%C5%B4%E2%99%A3%20%EB%AC%B8%EB%8D%95%EB%A7%98%ED%81%B4%EB%9F%BD%20%EB%AC%B8%EB%8D%95%EB%A7%98%ED%8C%8C%ED%8A%B8%EB%84%88%E2%88%8B%EB%AC%B8%EB%8D%95%EB%A7%98%ED%8F%B0%EC%84%B9%F0%9F%A4%B0%F0%9F%8F%BE%EB%AC%B8%EB%8D%95%EB%A7%98%ED%8F%B0%EC%84%B9%EC%95%B1%20%E4%A6%8A%E4%AC%BAallocation%EB%AC%B8%EB%8D%95%EB%A7%98%EC%BB%A4%ED%94%8C

Speaking Stats to Justice: Expert Testimony in a Guatemalan Human Rights Trial Based on Statistical Sampling

Benetech Statistical Analysis Provides Key Evidence in Conviction of Former Guatemalan Police Officers Testimony From Daniel Guzmán Helps Establish Legal Precedent for Prosecution of Forced Disappearances

PRIO 2023 Shortlist for Nobel Peace Prize

In a CNN interview predicting a Nobel Peace Prize winner, Henrik Urdal from PRIO talks about his shortlist and HRDAG.

The Great Lessons in Research at the Archive

Doing an investigation on the contents of the Archive brought with it three major lessons. The first big lesson was the constant movement (nothing was static), The second great lesson was that everything evolved (the changes were a constant). The third major lesson was to discover how two institutions can work together while geographically far apart. The constant movement As there were other processes being carried out at the Archive, everything was in constant movement. In other words, one day the documents were in X location and tomorrow they may be in location Y or dispersed in multiple locations. This made it impossible to know with certai...

Always Learning

The data science field is always changing, which means that I'll always be learning.

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 ...

Reflections: The G in HRDAG is the Real Fuel

It took me a while to realize I had become part of the HRDAG incubator—at least that’s what it felt like to me—for young data analysts who wanted to use statistical knowledge to make a real impact on human rights debates.

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.

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)]

The Profile of Human Rights Violations in Timor-Leste, 1974-1999

Romesh Silva and Patrick Ball. “The Profile of Human Rights Violations in Timor-Leste, 1974-1999″, a Report by the Benetech Human Rights Data Analysis Group to the Commission on Reception, Truth and Reconciliation. 9 February 2006.

Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY).

Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovic, and Jana Asher. Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY). © 2002 American Association for the Advancement of Science and American Bar Association Central and East European Law Initiative. [full text]

Activist Combines Human Rights and Data Technology

Guatemala 2011 – Developing Sampling Methods to Help Convict Perpetrators

During 36 years of internal armed conflict, which ended in 1996, an estimated 200,000 Guatemalans were killed or disappeared. HRDAG researchers returned to Guatemala in 2006 to analyze a sample of the estimated 46 million records discovered in the archive of the now disbanded Guatemalan National Police. HRDAG statisticians Daniel Guzmán, Romesh Silva, Patrick Ball and Tamy Guberek, together with Paul Zador and Gary Shapiro of the American Statistical Association, developed a multi-stage random sample of the archive to get a clearer picture of its contents. Sampled documents shed light on the disappearance of Guatemalan union leader Edgar Fernando ...

HRDAG’s Year in Review: 2023

In 2023, HRDAG continued to learn from our partners about resilience and patience.

Verdad al acecho (The Truth Is Stalking)

How Do We Know the Death Toll in Syria Is Accurate?

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

The World According to Artificial Intelligence (Part 2)

The World According to Artificial Intelligence – The Bias in the Machine (Part 2)

Artificial intelligence might be a technological revolution unlike any other, transforming our homes, our work, our lives; but for many – the poor, minority groups, the people deemed to be expendable – their picture remains the same.

Patrick Ball is interviewed: “The question should be, Who bears the cost when a system is wrong?”

Core Concepts

Inaccurate statistics can damage the credibility of human rights claims—and that's why we strive to ensure that statistics about human rights violations are generated with as much rigor and are as scientifically accurate as possible. But, what are the pitfalls leading to inaccuracy—when, where, and how do data become compromised? How are patterns biased by having only partial data? And what are the best scientific methods for collecting, managing, processing and analyzing data? Here are the data pitfalls that HRDAG has identified, as well as some of our approaches for meeting these challenges. We believe that human rights researchers must take ...

Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).

Daniel R. Guzmán, Tamy Guberek, Gary M. Shapiro, Paul Zador (2009). “Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).” In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association.

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