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Learning Day by Day: Quantitative Research at the AHPN

Working at the Historic Archive of the National Police (AHPN) of Guatemala, there are many skills I learned on the job. My many years of work on the team that studies the recovered documents have been like a custom-made course in how to do quantitative research. The Archive documents I study are the result of 36 years of creation during civil war (1960 to 1996). Many of these documents are simply administrative—but we are able to use them to understand patterns that occurred during the conflict, to get a sense of what mattered to the National Police and what didn’t. Our quantitative research shows us the Police behavior in broad strokes. ...

Frequently Asked Questions

Multiple Systems Estimation What is MSE?  What do you mean by statistical inference?  What is an overlap, and how do we know when lists overlap?   How does MSE find the total number of violations?  How was MSE originally developed?  How does the Benetech Human Rights Program use MSE?    1. What is MSE? A: Multiple Systems Estimation, or MSE, is a family of techniques for statistical inference. MSE uses the overlaps between several incomplete lists of human rights violations to determine the total number of violations. Return to Top 2. What do you mean by statistical inference? A: ...

Press Release, Timor-Leste, February 2006

SILICON VALLEY GROUP USES TECHNOLOGY TO HELP THE TRUTH COMMISSION ANSWER DISPUTED QUESTIONS ABOUT MASSIVE POLITICAL VIOLENCE IN TIMOR-LESTE Palo Alto, CA, February 9, 2006 – The Benetech® Initiative today released a statistical report detailing widespread and systematic violations in Timor-Leste during the period 1974-1999. Benetech's statistical analysis establishes that at least 102,800 (+/- 11,000) Timorese died as a result of the conflict. Approximately 18,600 (+/- 1000) Timorese were killed or disappeared, while the remainder died due to hunger and illness in excess of what would be expected due to peacetime mortality. The magnitude of deaths ...

Estimating Undocumented Homicides with Two Lists and List Dependence

Kristian Lum and Patrick Ball. 2015. Human Rights Data Analysis Group (April 2). © 2015 HRDAG.Creative Commons BY-NC-SA.


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 ...

La importancia de la estadística

Patrick Ball (2018). La importancia de la estadística. Ibero. La revista de la universidad Iberoamericana. August-September 2018. © 2018 Universidad Iberoamericana Ciudad de México. Pp. 50-51.

Patrick Ball (2018). La importancia de la estadística. Ibero. La revista de la universidad Iberoamericana. August-September 2018. © 2018 Universidad Iberoamericana Ciudad de México. Pp. 50-51.


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.

New analysis of World War II Korean “comfort women” held by Japanese

There may have been more undocumented World War II-era Korean "comfort women" than known.

Drug-Related Killings in the Philippines

HRDAG analysis shows that the government figures are a gross underestimation of the drug-related killings in the Philippines.

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 ...

SermonNew death toll estimated in Syrian civil war

Kevin Uhrmacher of the Washington Post prepared a graph that illustrates reported deaths over time, by number of organizations reporting the deaths.


Datasets available for research

Over the last few years, we've tried to make the data organized in our projects publicly accessible. We have encouraged our partners to publish the data at the completion of the project. We continue to believe it is important to offer access to the data used in our projects for the sake of transparency as well as to encourage further research and analysis. However, we are increasingly concerned about how raw data are used. Data collected by what we can observe is what statisticians call a convenience sample, which is subject to selection bias. We're keeping these datasets available for researchers who want to use them for simulation or estimation ...

‘Bias deep inside the code’: the problem with AI ‘ethics’ in Silicon Valley

Kristian Lum, the lead statistician at the Human Rights Data Analysis Group, and an expert on algorithmic bias, said she hoped Stanford’s stumble made the institution think more deeply about representation.

“This type of oversight makes me worried that their stated commitment to the other important values and goals – like taking seriously creating AI to serve the ‘collective needs of humanity’ – is also empty PR spin and this will be nothing more than a vanity project for those attached to it,” she wrote in an email.


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 ...

The Day We Fight Back

Today, February 11, is the day of national protests against the National Security Administration. The critical threat is mass surveillance. In the words of The Day We Fight Back, “Together we will push back against powers that seek to observe, collect, and analyze our every digital action. Together, we will make it clear that such behavior is not compatible with democratic governance. Together, if we persist, we will win this fight.” (more…)

Welcoming Our 2019 Visiting Analyst

Valentina Rozo Ángel has joined our team as our new visiting analyst this fall.

Accountability at home and abroad

  Dear friends, Our spirits were really on the ground on Wednesday, but they lifted at the board meeting we had at the Human Rights Data Analysis Group on Thursday. Executive Director Megan Price, Director of Research Patrick Ball, and the Board drafted these thoughts which we'd like to share with you. For more than twenty-five years, we have held heads of state accountable for human rights violations. We support our partners and advocates in the human rights field. They collect data which we analyze using technical and scientific expertise. Those scientific results bring clarity to human rights violence and support the fight for justice. ...

Full Updated Statistical Analysis of Documentation of Killings in the Syrian Arab Republic

Price, Megan, Jeff Klingner, Anas Qtiesh, and Patrick Ball. 2013. Commissioned by the United Nations Office of the High Commissioner for Human Rights (OHCHR). Human Rights Data Analysis Group (June 13). © 2013 HRDAG. Creative Commons BY-NC-SA. [pdf via UN]


Updated Statistical Analysis of Documentation of Killings in the Syrian Arab Republic

Megan Price, Anita Gohdes, and Patrick Ball (2014). Human Rights Data Analysis Group, commissioned by the United Nations Office of the High Commissioner for Human Rights (OHCHR). August 22, 2014. © 2014 HRDAG. Creative Commons BY-NC-SA.


The ‘Dirty War Index’ and the Real World of Armed Conflict.

Amelia Hoover, Romesh Silva, Tamy Guberek, and Daniel Guzmán. “The ‘Dirty War Index’ and the Real World of Armed Conflict.” May 23, 2009. © 2009 HRDAG. Creative Commons BY-NC-SA.


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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