680 results for search: %EC%88%98%ED%95%9C%EB%A9%B4%EC%9D%BC%ED%83%88%E3%80%94%EC%95%BC%ED%95%9C%EB%8C%80%ED%99%94%E2%9C%8E%E1%BA%88%E1%BA%88%E1%BA%88%E2%80%9AVAYO%E2%80%9AP%E1%BA%88%E3%80%95%20%EC%88%98%ED%95%9C%EB%A9%B4%EC%9D%BC%EB%B0%98%EC%9D%B8%20%EC%88%98%ED%95%9C%EB%A9%B4%EC%9D%B4%EC%84%B1%E2%97%91%EC%88%98%ED%95%9C%EB%A9%B4%EC%9C%A0%ED%9D%A5%F0%9F%A4%A6%F0%9F%8F%BD%E2%80%8D%E2%99%82%EF%B8%8F%EC%88%98%ED%95%9C%EB%A9%B4%EC%9C%A0%EB%B6%80%20%E6%81%B9%E3%BF%A2hedgebill%EC%88%98%ED%95%9C%EB%A9%B4%EC%9D%BC%ED%83%88/feed/content/colombia/copyright

Counting Civilian Casualties: An Introduction to Recording and Estimating Nonmilitary Deaths in Conflict

ed. by Taylor B. Seybolt, Jay D. Aronson, and Baruch Fischhoff. Oxford University Press. © 2013 Oxford University Press. All rights reserved.

The following four chapters are included:

— Todd Landman and Anita Gohdes (2013). “A Matter of Convenience: Challenges of Non-Random Data in Analyzing Human Rights Violations in Peru and Sierra Leone.”

— Jeff Klingner and Romesh Silva (2013). “Combining Found Data and Surveys to Measure Conflict Mortality.”

— Daniel Manrique-Vallier, Megan E. Price, and Anita Gohdes (2013). “Multiple-Systems Estimation Techniques for Estimating Casualties in Armed Conflict.”

— Jule Krüger, Patrick Ball, Megan Price, and Amelia Hoover Green (2013). “It Doesn’t Add Up: Methodological and Policy Implications of Conflicting Casualty Data.”

New Research on Civilian Deaths and Disappearances in El Salvador

This rigorous estimate shows that 1-2 percent of the country’s population was killed or disappeared during the civil war.

How much faith can we place in coronavirus antibody tests?

Given a positive test result, what is the probability that an individual has antibodies? This HRDAG-authored Granta article explains the science.

Team Page

The Allegheny Family Screening Tool’s Overestimation of Utility and Risk

Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Allegheny Family Screening Tool’s Overestimation of Utility and Risk. Logic(s). 13 December, 2023. Issue 20.

Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Allegheny Family Screening Tool’s Overestimation of Utility and Risk. Logic(s). 13 December, 2023. Issue 20.

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies

This Harvard Data Science Review article uses the least unreliable source of pandemic data: reported deaths.

Welcoming Our New Statistician

Maria Gargiulo has joined HRDAG as a Statistician.

Technical Memo for Amnesty International Report on Deaths in Detention

Megan Price, Anita Gohdes and Patrick Ball (2016). Human Rights Data Analysis Group, commissioned by Amnesty International. August 17, 2016. © 2016 HRDAG. Creative Commons BY-NC-SA.

Welcoming Our New Foundation Relations and Strategy Lead

On March 16, Kristen Yawitz joined the HRDAG team in the role of Foundation Relations and Strategy Lead.

Mapping Mexico’s hidden graves

When Patrick Ball was introduced to Ibero’s database, the director of research at the Human Rights Data Analysis Group in San Francisco, California, saw an opportunity to turn the data into a predictive model. Ball, who has used similar models to document human rights violations from Syria to Guatemala, soon invited Data Cívica, a Mexico City–based nonprofit that creates tools for analyzing data, to join the project.

Calculating US police killings using methodologies from war-crimes trials

100x100-boingboing-logoCory Doctorow of Boing Boing writes about HRDAG director of research Patrick Ball’s article “Violence in Blue,” published March 4 in Granta. From the post: “In a must-read article in Granta, Ball explains the fundamentals of statistical estimation, and then applies these techniques to US police killings, merging data-sets from the police and the press to arrive at an estimate of the knowable US police homicides (about 1,250/year) and the true total (about 1,500/year). That means that of all the killings by strangers in the USA, one third are committed by the police.”

Welcoming Our New HRDAG Data Scientist

Bailey joined HRDAG as a data scientist in 2022.

Data Mining for Good: CJA Drink + Think

At the Center for Justice and Accountability's happy hour, "Drink and Think," Patrick Ball spoke about "Data Mining for Good." The talk included a discussion of how HRDAG brings human rights abusers to justice through data analysis, and HRDAG's work conducting quantitative analysis for truth commissions, NGOs, the UN and other partners. The event was held at Eventbrite. More photos are below. The Center for Justice and Accountability Young Professionals' Committee for Human Rights September 16, 2014 San Francisco, California Link to CJA event page Back to Talks   All photos © 2014 Carter Brooks.

Update of Iraq and Syria Data in New Paper

This week The Statistical Journal of the IAOS published a new(ish) paper by Megan Price and Patrick Ball. The open-access paper, Selection bias and the statistical patterns of mortality in conflict, is a revisiting and updating of both the Iraq and Syria examples used in an earlier paper, Big Data, Selection Bias, and the Statistical Patterns of Mortality in Conflict, which was published last year inThe SAIS Review of International Affairs (JHU Press, 2014). HRDAG believes that the concerns highlighted by these examples are important for a wide variety of audiences, including both the foreign policy readers reached by The SAIS Review and the ...

Celebrating our First Anniversary and Welcoming Our Newest Board Member

One year ago, HRDAG cast out on its own as an independent nonprofit—and this first year has been busy, productive, and exciting. We’re indebted to our Advisory Board for their valuable contributions and to our funders for their generosity and participation in our mission. Highlights of the past year include contributing testimony to three court cases, publishing two reports on conflict-casualties in Syria, presenting over a dozen talks (many of which are available on our talks page), traveling to over half a dozen countries to testify, collaborate with partners, and participate in conferences/workshops, hiring a new technical lead, and bringing in ...

Evaluation of the Kosovo Memory Book at Pristina

On February 4, 2015, at the National Archive in Pristina, Kosovo, HRDAG executive director Patrick Ball gave a presentation on research (done with  colleague Jule Krüger) about the database of the Kosovo Memory Book (KMB). The KMB is part of the Humanitarian Law Centre in Belgrade and Pristina). In this photo, Patrick is speaking, and HLC-Belgrade executive director emeritus Natasa Kandic and Professor Michael Spagat are at the table with him. At the laptop between Spagat and Patrick is Laza Lazarevic of HLC; he is part of the KMB team. About 130 people attended—a terrific response. Presentation on the research behind the Evaluation of the ...

Get Involved/Donate

Donating to HRDAG Thank you for your interest in making a donation to the Human Rights Data Analysis Group to help us use science to support our partners in the human rights world. You can make a donation by credit card on the Community Partners® Network for Good page. HRDAG is a "project of Community Partners," and right below  the section on payment information, you'll be able to select "Human Rights Data Analysis Group" from a drop-down menu. (On most browsers, if you use this link, HRDAG will be pre-selected on the drop-down menu.) This transaction will appear on your credit card statement as "Network for Good." If you donate by check, ...

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.

Theoretical limits of microclustering for record linkage

James E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.

John E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.

A Comparison of Marginal and Conditional Models for Capture–Recapture Data with Application to Human Rights Violations Data

Shira Mitchell, Al Ozonoff, Alan Zaslavsky, Bethany Hedt-Gauthier, Kristian Lum and Brent Coull (2013). A Comparison of Marginal and Conditional Models for Capture-Recapture Data with Application to Human Rights Violations Data. Biometrics, Volume 69, Issue 4, pages 1022–1032, December 2013. © 2013, The International Biometric Society. DOI: 10.1111/biom.12089.

Shira Mitchell, Al Ozonoff, Alan Zaslavsky, Bethany Hedt-Gauthier, Kristian Lum and Brent Coull (2013). A Comparison of Marginal and Conditional Models for Capture-Recapture Data with Application to Human Rights Violations Data. Biometrics, Volume 69, Issue 4, pages 1022–1032, December 2013. © 2013, The International Biometric Society. DOI: 10.1111/biom.12089.

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

©2025 Human Rights Data Analysis Group. Some rights reserved.
HRDAG is a non-profit project of Community Partners®, tax ID 95-4302067
Privacy Policy