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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.


Justice Unknown, Justice Unsatisfied? Bosnian NGOs Speak about the International Criminal Tribunal for the Former Yugoslavia.

Kristen Cibelli and Tamy Guberek. “Justice Unknown, Justice Unsatisfied? Bosnian NGOs Speak about the International Criminal Tribunal for the Former Yugoslavia.” A project of Education and Public Inquiry and International Citizenship at Tufts University. December, 2000.


How Many Peruvians Have Died?

Patrick Ball, Jana Asher, David Sulmont, and Daniel Manrique. “How Many Peruvians Have Died?” © 2003 American Association for the Advancement of Science.


How do epidemiologists know how many people will get Covid-19?

Patrick Ball (2020). How do epidemiologists know how many people will get Covid-19? Significance. 09 April 2020. © 2020 The Royal Statistical Society.

Patrick Ball (2020). How do epidemiologists know how many people will get Covid-19? Significance. 09 April 2020. © 2020 The Royal Statistical Society.


Funding

HRDAG’s funding comes from private, international donors:  the John D. and Catherine T. MacArthur Foundation, Open Society Foundations, an anonymous U.S.-based private foundation, Ford Foundation, The National Endowment for Democracy and individual donors. This funding supports both specific projects, as well as our scientific work generally in human rights data analysis. For the entirety of its existence, HRDAG has been a project of non-profit organizations, first at the American Association for the Advancement of Science (AAAS), and then at Benetech, a non-profit Silicon Valley technology company. In February 2013, HRDAG became ...

Quantitative Data Analysis and Large-Scale Human Rights Violations: An Example of Applied Statistics at the Grassroots.

Romesh Silva. “Quantitative Data Analysis and Large-Scale Human Rights Violations: An Example of Applied Statistics at the Grassroots.” Gazette of the Australian Mathematical Society. Canberra (Australia). Volume 32, Number 2, May 2005.


Guatemalan National Police Archive Project

The Historic Archive of the Guatemalan National Police (hereafter the Archive) was discovered, quite by accident, in July 2005.  Researchers immediately recognized both the importance and the fragility of the Archive's contents.  As a result, in early 2006 the Archive team invited Patrick to evaluate the documents and help them answer a seemingly simple question: How can we learn about the contents of the Archive in a shorter period of time than is needed to systematically examine each individual document? After inspecting the Archive, Patrick designed a multi-stage random sample of documents.  In May 2006, Tamy Guberek, Daniel Guzmán, and ...

Welcoming Our New HRDAG Data Scientist

Bailey joined HRDAG as a data scientist in 2022.

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.

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 ...

Open Source Used in Fight for Human Rights


Setting the Record Straight on Predictive Policing and Race

William Isaac and Kristian Lum (2018). Setting the Record Straight on Predictive Policing and Race. In Justice Today. 3 January 2018. © 2018 In Justice Today / Medium.

William Isaac and Kristian Lum (2018). Setting the Record Straight on Predictive Policing and Race. In Justice Today. 3 January 2018. © 2018 In Justice Today / Medium.


Why It Took So Long To Update the U.N.-Sponsored Syria Death Count

In this story, Carl Bialik of FiveThirtyEight interviews HRDAG executive director Patrick Ball about the process of de-duplication, integration of databases, and machine-learning in the recent enumeration of reported casualties in Syria.
New reports of old deaths come in all the time, Ball said, making it tough to maintain a database. The duplicate-removal process means “it’s a lot like redoing the whole project each time,” he said.


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,” he says. “That’s why these amazing techniques that the industry people have are great in industry, but they don’t actually generalize to our space very well.”


Colombian Key in Guatemala Forced Disappearance Case


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.


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.

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