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Big Data and Death at UW-Madison

On November 7, 2014, the Department of Political Science, University of Wisconsin–Madison, and  the University of Wisconsin Law School, hosted a mini-conference with speakers Jennifer Alix-Garcia, Patrick Ball, Chad Hazlett, Volker Radeloff, and Philip Schrodt to speak about "Big Data and Death." The conference was organized by John Ahlquist and Jon Pevehouse. Big Data and Death Department of Political Science University of Wisconsin–Madison November 7, 2014 Madison, Wisconsin

Welcoming Our 2021-2022 Human Rights and Data Science Intern

Larry Barrett has joined HRDAG as a Human Rights and Data Science Intern until February, 2022.

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Tech Note: Chicago Missing Persons

Our team was able to identify over 50 complaints related to missing persons cases.

How Data Scraping Provides Insights into Immigrant Arrests

In Washington State, some law enforcement officers illegally tip off ICE and CBP for civil immigration arrests. HRDAG helped identify where the problematic practices occurred.

HRDAG Welcomes New Data Science Fellow

Alanna Flores joins HRDAG for the summer as a Data Science Fellow.

HRDAG’s Year in Review: 2022

This past year at HRDAG has been about continuing efforts to uncover the truth.

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.


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 69Issue 4pages 1022–1032December 2013. © 2013, The International Biometric Society. DOI: 10.1111/biom.12089.


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]


The Bigness of Big Data: samples, models, and the facts we might find when looking at data

Patrick Ball. 2015. The Bigness of Big Data: samples, models, and the facts we might find when looking at data. In The Transformation of Human Rights Fact-Finding, ed. Philip Alston and Sarah Knuckey. New York: Oxford University Press. ISBN: 9780190239497. © The Oxford University Press. All rights reserved.


¿Quién le hizo qué a quién? Planear e implementar un proyecto a gran escala de información en derechos humanos.


Counting the Unknown Victims of Political Violence: The Work of the Human Rights Data Analysis Group

Ann Harrison (2012). Counting the Unknown Victims of Political Violence: The Work of the Human Rights Data Analysis Group, in Human Rights and Information Communications Technologies: Trends and Consequences of Use. © 2012 IGI Global. All rights reserved.


When It Comes to Human Rights, There Are No Online Security Shortcuts

Patrick Ball. When It Comes to Human Rights, There Are No Online Security Shortcuts, Wired op-ed, August 10, 2012. Wired.com © 2013 Condé Nast. All rights reserved.


Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project

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Patrick Ball. Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project. © 1996 American Association for the Advancement of Science.


Collecting Sensitive Human Rights Data in the Field: A Case Study from Amritsar, India.

Romesh Silva and Jasmine Marwaha. “Collecting Sensitive Human Rights Data in the Field: A Case Study from Amritsar, India.” In JSM Proceedings, Social Statistics Section. Alexandria, VA. © 2011 American Statistical Association. All rights reserved.


Indirect Sampling to Measure Conflict Violence: Trade-offs in the Pursuit of Data That Are Good, Cheap, and Fast

Romesh Silva and Megan Price. “Indirect Sampling to Measure Conflict Violence: Trade-offs in the Pursuit of Data That Are Good, Cheap, and Fast.” Journal of the American Medical Association. 306(5):547-548. 2011. © 2011 JAMA. All rights reserved.


Different Convenience Samples, Different Stories: The Case of Sierra Leone.


Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission

Kristen Cibelli, Amelia Hoover, and Jule Krüger (2009). “Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission,” a Report by the Human Rights Data Analysis Group at Benetech and Annex to the Final Report of the Truth and Reconciliation Commission of Liberia. Palo Alto, California. Benetech.


Missing People in Casanare

Daniel Guzmán, Tamy Guberek, Amelia Hoover, and Patrick Ball (2007). “Missing People in Casanare.” Benetech. Also available in Spanish – “Los Desaparecidos de Casanare.”


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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