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All of the ways we remember: How data scientists hold memory with and for survivors
Those most vulnerable to state violence are already marginalized and undercounted, their experiences ignored or minimized in official sources. To avoid perpetuating these harms in our analyses, we have to find ways to incorporate unofficial data sources and all of the ways we remember.
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.”
Reflections on Data Science for Real-World Problems
Trina Reynolds-Tyler's internship at HRDAG helped her use data science to find patterns in state-sanctioned violence.
Timor-Leste FAQs
How do you know that there are more conflict-related deaths than have been reported to the Commission for Reception, Truth and Reconciliation (CAVR, by its Portuguese acronym)?
Where did the method of multiple systems estimation come from?
If you didn't have access to the whole population, how do you know how representative these data are of the entire population? i.e. How do you control for bias?
What are the total conflict-related mortality numbers? How many people were killed and disappeared between 1974 and 1999? And how many people died due to hunger and illness?
What is the margin of error associated with these results?
What is ...
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.
How Causal Analysis Confirmed Impact of Cash Bail on Verdicts
Causal inference methods show that for indigent clients, money bail increases their likelihood of a guilty conviction.
HRDAG Retreat 2022
A week in the California redwoods amongst a hodgepodge of people united by their passion for using quantitative analysis to combat injustice.
How Pretrial Risk Assessment Tools Perpetuate Unfairness
Tools like Compas allegedly help judges predict future criminal activities and eliminate bias. HRDAG and partners showed how the tools recycle bias.
How Data Extraction Illuminates Racial Disparities in Boston SWAT Raids
Boston Police deployed SWAT teams disproportionately to Black neighborhoods, sometimes raiding homes with young children. HRDAG extracted data revealing just how disproportionate.
12 Questions about Using Data Analysis to Bring Guatemalan War Criminals to Justice
When people talk about war criminals in Guatemala, which war are they talking about?
They’re talking about the Guatemalan civil war, which began in 1960 and ended in 1996. That’s thirty-six years of civil war. Even though it ended almost two decades ago, Guatemala is still recovering from it. At its simplest, this civil war story was right-wing government forces fighting leftist rebels. But it went deeper than that, of course. The majority of the rebel forces was composed of indigenous peoples, primarily the Maya, (more…)
Download: Megan Price
Executive director Megan Price is interviewed in The New York Times’ Sunday Review, as part of a series known as “Download,” which features a biosketch of “Influencers and their interests.”
BJS Report on Arrest-Related Deaths: True Number Likely Much Greater
(This post is co-authored by Patrick Ball and Kristian Lum.)
Today the Bureau of Justice Statistics (BJS) released a report on their effort to document “all deaths that occur during the process of arrest in the United States.” The analysis estimates that the Arrest-Related Deaths (ARD) program covers only 34-49% of these deaths. A parallel program by the FBI (the Supplementary Homicide Reports, SHR) is estimated to cover approximately the same proportion of deaths. Even taking into consideration both programs, 28% of all police homicides remain unreported.
In order to estimate the total number of homicides that appear on neither the ARD or ...
Guatemala
Collecting and Protecting Human Rights Data in Guatemala (1991-2013)
In 1996, a peace accord brokered by the United Nations ended 36 years of internal armed conflict in Guatemala. During the hostilities, non-governmental organizations asked for technical support from the scientific community in the project to gather the experiences of witnesses and victims in databases.
From 1993 to 1999 Dr. Patrick Ball, then at the American Association for the Advancement of Science (AAAS), worked with the International Center for Human Rights Research in Guatemala (CIIDH) to collect and organize evidence of more than 43,000 human rights violations. The ...
Partners
How we work with partners is how we relate to the whole human rights community. We work with human rights advocates and defenders to support their goals by complementing their substantive expertise with our technical expertise. To date, partners have included truth commissions, international criminal tribunals, United Nations missions, and non-governmental human rights organizations on five continents.
Here are a few stories that illustrate how we work with our partners:
HRDAG partner stories:
Quantifying Police Misconduct in Louisiana (2023)
Scraping for Pattern: Protecting Immigrant Rights in Washington State (2022)
Police Violence ...
Documents of war: Understanding the Syrian Conflict
Megan Price, Anita Gohdes, and Patrick Ball. 2015. Significance 12, no. 2 (April): 14–19. doi: 10.1111/j.1740-9713.2015.00811.x. © 2015 The Royal Statistical Society. All rights reserved. [online abstract]
Skoll World Forum 2018
Illuminating Data's Dark Side: Big data create conveniences, but we must consider who designs these tools, who benefits from them, and who is left out of the equation.
When Data Doesn’t Tell the Whole Story
This blog is a part of International Justice Monitor’s technology for truth series, which focuses on the use of technology for evidence and features views from key proponents in the field.
As highlighted by other posts in this series, emerging technology is increasing the amount and type of information available, in some contexts, to criminal and other investigations. Much of what is produced by these emerging technologies (Facebook posts, tweets, YouTube videos, text messages) falls in the category we refer to as “found” data. By “found” data we mean data not generated for a specific investigation, but instead, that is generated for ...