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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.


Data on Kosovo Killings

The data on killings in Kosovo are in four files. All of the files are comma-delimited ASCII. The fields in each file are described below. If you use these data on Kosovo killings, please cite them with the following citation, as well as this note: “These are convenience sample data, and as such they are not a statistically representative sample of events in this conflict.  These data do not support conclusions about patterns, trends, or other substantive comparisons (such as over time, space, ethnicity, age, etc.).” Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovich, and Jana Asher. (2002). AAAS/ABA-CEELI/Human Rights Data ...

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Making the Case. Investigating Large Scale Human Rights Violations Using Information Systems and Data Analysis

Patrick Ball, Herbert F. Spirer, and Louise Spirer, eds. Making the Case. Investigating Large Scale Human Rights Violations Using Information Systems and Data Analysis . © 2000 American Association for the Advancement of Science. All rights reserved. Reprinted with permission. [full text] [intro] [chapters 1 2 3 4 5 67 8 9 10 11 12]


On ensuring a higher level of data quality when documenting human rights violations to support research into the origins and cause of human rights violations

Romesh Silva. “On ensuring a higher level of data quality when documenting human rights violations to support research into the origins and cause of human rights violations.” ASA Proceedings of the Joint Statistical Meetings, the International Biometric Society (ENAR and WNAR), the Institute of Mathematical Statistics, and the Statistical Society of Canada. August, 2002.


Deportation Possible for El Salvador’s Gen. García – Supported by HRDAG Analysis

Gen. José Guillermo García, El Salvador’s defense minister from 1979 to 1983, may be deported from Florida to El Salvador because of his involvement in war crimes that occurred under his command. The recommendation comes from a Miami immigration judge, whose decision was supported with expert testimony from Stanford political science professor Terry Karl, who presented extensive statistical analysis of killings, disappearances, kidnappings, torture and other crimes under Gen. García’s watch. The statistical analysis was a joint effort between Professor Karl and Amelia Hoover Green and Patrick Ball of Human Rights Data Analysis Group (HRDAG). ...

Unveiling Statistical Invisibility: The Structural Racism of the War on Drugs, its Impact on Social Inequalities, and the Need for Citizen Data Empowerment in Latin America

Cecilia Olliveira, Patrick Ball, Dayana Blanco, Eduardo Ribeiro, Juliana Borges, Maria Isabel Couto, Nathália Oliveira (2024)."Unveiling Statistical Invisibility: The Structural Racism of the War on Drugs, its Impact on Social Inequalities, and the Need for Citizen Data Empowerment in Latin America." T20 Brasil. September 2024.

Cecilia Olliveira, Patrick Ball, Dayana Blanco, Eduardo Ribeiro, Juliana Borges, Maria Isabel Couto, Nathália Oliveira (2024).”Unveiling Statistical Invisibility: The Structural Racism of the War on Drugs, its Impact on Social Inequalities, and the Need for Citizen Data Empowerment in Latin America.” T20 Brasil. September 2024.


Searching for Trends: Analyzing Patterns in Conflict Violence Data

Megan Price and Anita Gohdes (2014). Searching for Trends: Analyzing Patterns in Conflict Violence Data. Political Violence @ a Glance. © 2014 PV@G.


Capture-Recapture for Casualty Estimation and Beyond: Recent Advances and Research Directions

Daniel Manrique-Vallier, Patrick Ball, Mauricio Sadinle. (2022). Capture-Recapture for Casualty Estimation and Beyond: Recent Advances and Research Directions. In: Carriquiry, A.L., Tanur, J.M., Eddy, W.F. (eds) Statistics in the Public Interest. Springer Series in the Data Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-75460-0_2

Manrique-Vallier, D., Ball, P., Sadinle, M. (2022). Capture-Recapture for Casualty Estimation and Beyond: Recent Advances and Research Directions. In: Carriquiry, A.L., Tanur, J.M., Eddy, W.F. (eds) Statistics in the Public Interest. Springer Series in the Data Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-75460-0_2


Mexico

HRDAG and our partners Data Cívica and the Iberoamericana University created a machine-learning model to predict which counties (municipios) in Mexico have the highest probability of unreported hidden graves. The predictions help advocates to bring public attention and government resources to search for the disappeared in the places where they are most likely to be found. Context For more than ten years, Mexican authorities have been discovering hidden graves (fosas clandestinas). The casualties are attributed broadly—and sometimes inaccurately—to the country’s “drug war,” but the motivations and perpetrators behind the mass murders ...

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

James Johndrow, Patrick Ball, Maria Gargiulo, and Kristian Lum. (2020). Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States. Harvard Data Science Review. 24 November, 2020. © The Authors, 2020, CC BY 4.0. https://doi.org/10.1162/99608f92.7679a1ed

James Johndrow, Patrick Ball, Maria Gargiulo, and Kristian Lum. (2020). Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States. Harvard Data Science Review. 24 November, 2020. © The Authors, 2020, CC BY 4.0. https://doi.org/10.1162/99608f92.7679a1ed


The impact of overbooking on a pre-trial risk assessment tool

Kristian Lum, Chesa Boudin and Megan Price (2020). The impact of overbooking on a pre-trial risk assessment tool. FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. January 2020. Pages 482–491. https://doi.org/10.1145/3351095.3372846 ©ACM, Inc., 2020.

Kristian Lum, Chesa Boudin and Megan Price (2020). The impact of overbooking on a pre-trial risk assessment tool. FAT* ’20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. Pages 482–491. https://doi.org/10.1145/3351095.3372846 ©ACM, Inc., 2020.


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.


Patrick Ball Honored as New ASA Fellow

We’re very happy to announce that our executive director, Patrick Ball, has been elected as a Fellow of the American Statistical Association (ASA), as announced by ASA President Nathaniel Schenker. Patrick is one of 63 new ASA Fellows to be honored this year in a ceremony at the Joint Statistical Meetings, which will take place this August 5 in Boston, Massachusetts. (more…)

Uncovering Police Violence in Chicago: A collaboration between HRDAG and Invisible Institute

In 2014 and again in 2020, the Invisible Institute, a Chicago grassroots organization, won lawsuits that granted them access to decades of complaints of misconduct by Chicago police officers. The collection contains hundreds of thousands of pages of allegation forms, memos, various police administrative forms, interviews and testimonies, pictures, and even embedded audio files. The Institute published scanned images on the Citizens Police Data Project, and is using them for a project with HRDAG known as Beneath the Surface, which is a detailed investigation into gender-based violence by Chicago Police. Image: David Peters Often, gender-b...

How Predictive Policing Reinforces Bias

Algorithmic tools like PredPol were supposed to reduce bias. But HRDAG has found that racial bias is baked into the data used to train the tools.

Comments to the article ‘Is Violence Against Union Members in Colombia Systematic and Targeted?


Guatemala Memory of Silence: Report of the Commission for Historical Clarification Conclusions and Recommendations


State Coordinated Violence in Chad under Hissene Habre: A Statistical Analysis of Reported Prison Mortality in Chad’s DDS Prisons and Command Responsibility of Hissene Habre, 1982-1990.

Romesh Silva, Jeff Klingner, and Scott Weikart. “State Coordinated Violence in Chad under Hissene Habre: A Statistical Analysis of Reported Prison Mortality in Chad’s DDS Prisons and Command Responsibility of Hissene Habre, 1982-1990.” A Report by Benetech’s Human Rights Data Analysis Group to Human Rights Watch and the Chadian Association of Victims of Political Repression and Crimes. 29 January 2010. (Available in French) © 2010 Benetech. Creative Commons BY-NC-SA.


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 ...

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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