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Reflections: Minding the Gap

How might we learn what we don’t know? HRDAG associate Christine Grillo hits the wayback machine and recalls her first exposure to People Against Bad Things, ideas about bias and correlation versus causation, and truth.

How to Become a Data Scientist: My Lessons at HRDAG

I will use the skills and culture I learned from HRDAG’s team to understand how the conflict has affected the people in my country.

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]


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…)

Tech Note: Chicago Missing Persons

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

Preliminary Statistical Analysis of Documentation of Killings in the Syrian Arab Republic.

Megan Price, Jeff Klingner, and Patrick Ball (2013). The Benetech Human Rights Program, commissioned by the United Nations Office of the High Commissioner for Human Rights (OHCHR). January 2, 2013. © 2013 HRDAG. Creative Commons BY-NC-SA.


Political Killings in Kosovo, March–June, 1999

Political Killings in Kosovo, March–June, 1999. American Association for the Advancement of Science, Science and Human Rights Program. © 2000 American Bar Association Central and East European Law Initiative.


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.


Selection Bias and the Statistical Patterns of Mortality in Conflict.

Megan Price and Patrick Ball. 2015. Statistical Journal of the IAOS 31: 263–272. doi: 10.3233/SJI-150899. © IOS Press and the authors. All rights reserved. Creative Commons BY-NC-SA.


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.


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]


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.


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


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.

Reflections: The People Who Make the Data

HRDAG associate Miguel Cruz has an epiphany. All those data he’s drowning in? Each datapoint is a personal tragedy, a story both dark and urgent, and he’s privileged to have access.

Core Concepts

Inaccurate statistics can damage the credibility of human rights claims—and that's why we strive to ensure that statistics about human rights violations are generated with as much rigor and are as scientifically accurate as possible. But, what are the pitfalls leading to inaccuracy—when, where, and how do data become compromised? How are patterns biased by having only partial data? And what are the best scientific methods for collecting, managing, processing and analyzing data? Here are the data pitfalls that HRDAG has identified, as well as some of our approaches for meeting these challenges. We believe that human rights researchers must take ...

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.


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.”


The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool

Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool. ACLU. Summer 2023.

Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool. ACLU. Summer 2023.


Counting Casualties in Syria

Today the United Nations Office of the High Commissioner for Human Rights (OHCHR) released a report prepared by me and my colleagues describing the current state of reported killings in the Syrian Arab Republic from the beginning of the conflict in March 2011 through April 2013.  (UN news release here.) This report is an update of work we published in January 2013.  This updated analysis includes records from eight data sources documenting a total of 92,901 reported killings. Our analysis begins with 263,055 total records reported by the eight data sources that include sufficient identifying information (name, date, and location*) to conduct ...

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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