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Multiple Systems Estimation: Collection, Cleaning and Canonicalization of Data

<< Previous post: MSE: The Basics Q3. What are the steps in an MSE analysis? Q4. What does data collection look like in the human rights context? What kind of data do you collect? Q5. [In depth] Do you include unnamed or anonymous victims in the matching process? Q6. What do you mean by "cleaning" and "canonicalization?" Q7. [In depth] What are some of the challenges of canonicalization? (more…)

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 ...

Verdad al acecho (The Truth Is Stalking)

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.

Why Just Counting the Dead in Syria Won’t Bring Them Justice

Patrick Ball (2016). Why Just Counting the Dead in Syria Won’t Bring Them Justice. Foreign Policy. October 19, 2016. © 2016 Foreign Policy. 

Patrick Ball (2016). Why Just Counting the Dead in Syria Won’t Bring Them Justice. Foreign Policy. October 19, 2016. © 2016 Foreign Policy. 

Counting the Dead in Sri Lanka

ITJP and HRDAG are urging groups inside and outside Sri Lanka to share existing casualty lists.

UN says nearly 93,000 confirmed killed in Syrian conflict

Lies, Damned Lies, and “Official” Statistics

Megan Price and Maria Gargiulo (2021). Lies, Damned Lies, and "Official" Statistics. Health and Human Rights Journal. 24 June, 2021. © Health and Human Rights Journal.

Megan Price and Maria Gargiulo (2021). Lies, Damned Lies, and “Official” Statistics. Health and Human Rights Journal. 24 June, 2021. © Health and Human Rights Journal.

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.

Guatemala 1993-1999 – Using MSE to Estimate the Number of Deaths

Propelled by the impact of data analysis in El Salvador, Patrick Ball applied his WDWTW model to human rights information in other countries. Throughout the 1990’s, Ball worked at the American Association for the Advancement of Science (AAAS) analyzing large-scale human rights violations in Ethiopia, South Africa, Haiti and Guatemala. Together with senior scientific colleagues, including statistician Dr. Herb Spirer, Ball developed new methods for analyzing state-sanctioned violence. This chapter documents how the research expanded when a group of nongovernmental organizations in Guatemala asked the scientific community to gather and analyze ...

Colombia

Text in English Para evaluar afirmaciones sobre la reducción de la violencia letal en Colombia En marzo de 2007, el Grupo de Análisis de Datos de Derechos Humanos (HRDAG por sus siglas en inglés) publicó un estudio con el título de "Para Evaluar Afirmaciones Sobre la Reducción de la Violencia Letal en Colombia." Los autores de dicho estudio evaluaron aseveraciones que la violencia en Colombia disminuyó tras la desmovilización de los paramilitares. Demostraron que tales afirmaciones se basan tanto en una sobreinterpretación de datos no ajustados como en inferencias causales infundadas. Los autores concluyeron que se requieren múltip...

.Rproj Considered Harmful

We aim to produce code that is clear, replicatable across machines and operating systems, and that leaves an easy-to-follow audit trail.

Announcing New HRDAG Advisory Board Member

Elizabeth Eagen of the Citizens and Technology Lab at Cornell University will expand the HRDAG advisory board.

Learning to Learn: Reflections on My Time at HRDAG

So much of what I learned at HRDAG was intangible, and I'm grateful to have been able to go deep.

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 ...

Syria’s celebrations muted by evidence of torture in Assad’s notorious prisons

The Human Rights Data Analysis Group, an independent scientific human rights organization based in San Francisco, has counted at least 17,723 people killed in Syrian custody from 2011 to 2015 — around 300 every week — almost certainly a vast undercount, it says.

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.

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.

Cuentas y mediciones de la criminalidad y de la violencia

Exploración y análisis de los datas para comprender la realidad. Patrick Ball y Michael Reed Hurtado. 2015. Forensis 16, no. 1 (July): 529-545. © 2015 Instituto Nacional de Medicina Legal y Ciencias Forenses (República de Colombia).

‘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.

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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