362 results for search: pills/%E2%A5%9C%F0%9F%98%BF%20Buy%20Stromectol%20%F0%9F%94%B0%20www.Ivermectin-Stromectol.com%20%F0%9F%94%B0%20Stromectol%20Price%3A%20from%20%242.85%20%F0%9F%98%BF%E2%A5%9C%20Order%20Stromectol%203%20Mg%2FIvermectin%20Buy%20Stromectol%2012%20Mg/feed/content/colombia/privacy
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.
14 Questions about Counting Casualties in Syria
In early 2012, HRDAG was commissioned by the UN Office of the High Commissioner for Human Rights (OHCHR) to do an enumeration project, essentially a count of all of the reported casualties in the Syrian conflict. HRDAG has published two analyses so far, the first in January 2013, and the second in June 2013. In this post, HRDAG scientists Anita Gohdes, Megan Price, and Patrick Ball answer questions about that project.
So, how many people have been killed in the Syrian conflict?
This is a complicated question. As of our last report, in June 2013, we know that there have been at least 93,000 reported, identifiable conflict-related casualties. The ...
How we make sure that nobody is counted twice: A peek into HRDAG's record de-duplication
HRDAG is currently evaluating the quality and completeness of the Kosovo Memory Book of the Humanitarian Law Center (HLC) in Belgrade, Serbia. The objective of the Kosovo Memory Book (KMB) is to commemorate every single person who fell victim to armed conflict in Kosovo from 1998 to 2000, either through death or disappearance.
While building and reviewing their database, one of the things that HLC has to do is “record linkage,” a process also known as “matching.” Matching determines whether two records are the same people (“a match”) or different people (“a non-match”). Matching helps to identify whether two existing records refer ...
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.
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.
Data Archaeology for Human Rights in Central America: HRDAG Collaborates with UWCHR
Patrick Ball is kicking himself for a decision he made almost 25 years ago. “I was clever, but I wasn’t smart,” he says ruefully, as he considers the labyrinth of tables and ASCII-encoded keystrings he used to design a database of human rights violations for the pioneering Salvadoran non-governmental Human Rights Commission (CDHES). Now I’m sitting in his office in San Francisco’s Mission District watching over his shoulder, and trying to keep up, as he bangs out code to decipher the priceless data contained in these old files. Created in 1991 and 1992, during the last days of El Salvador’s internal armed conflict, the files detail ...
Liberian TRC Data and Data Dictionary
The files linked on this page contain the data used in the calculations presented in Benetech's report to the Liberian Truth and Reconciliation Commission entitled "Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission." In accordance with Benetech's Memorandum of Understanding with the TRC, these data are published on the Internet so that others can use the material to replicate our findings and continue research on past human rights violations in Liberia. In order to protect the privacy of the people who suffered, the information in the files below contains no personal identifying information about the victims or ...
Pulling Back the Curtain on LLMs & Policing Data
Structural Zero Issue 04
September 30, 2025
Artificial intelligence is transforming how we work with information. At HRDAG, that changes how I do my job every day. My most recent project was using LLMs to explore and parse vast quantities of data about police abuses in California.
In this newsletter, I’ll pull back the curtain on that work. I’ll describe how a diverse coalition gathered more than a million pages of documents about police misconduct in California and how LLMs helped us make sense of them in ways that wouldn’t have been possible before the advent of this technology.
In addition to understanding my work, I hope that this ...
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 ...
All is Not Lost with Incomplete Datasets
Structural Zero 10: What is a "structural zero"
I’m Maria Gargiulo. I started with HRDAG as an intern in 2018 and I’ve worked with the team as a statistician since 2020. I’m currently earning my doctoral degree from the London School of Hygiene and Tropical Medicine where my thesis explores the very statistical methods HRDAG uses to study and understand complex human rights violations around the world.
Recently, we wrote about the challenge of statistical bias: the data that is collected is seldom complete and may not be representative of the population we are trying to study. There are many types of statistical biases that can occur. We ...
RustConf 2019, and systems programming as a data scientist
It could make sense to use Rust as a data journalist for in-browser computations, and other thoughts from RustConf.
Quantifying Police Misconduct in Louisiana
HRDAG contributes to the project by helping to classify, filter, extract, and standardize the records so that they can be useful in the database.
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.
Chad – Photo Essay
[français]
Hissène Habré was president of the former French colony of Chad from 1982 to 1990. Credible allegations of systematic torture and crimes against humanity have been made against Habré’s state security force, the Documentation and Security Directorate (DDS), which pursued political opponents and operated notorious prisons during his regime.
One prison where the DDS is alleged to have tortured prisoners is the “Piscine,” a former swimming pool covered by a concrete roof. Prisoners were held in ten dank cells where witnesses say they were starved and abused.
After being forced from power in 1990, Habré went into exile ...
The Data are Clear: Public Engagement Improves AI Science
A lot of scientists and AI developers think that involving affected communities in AI research is probably the right thing to do, ethically. But they hesitate because they fear the messy unpredictability of human participation. They worry that even if human participation is the moral choice, it could degrade the science.
Reflections: Challenging Tasks and Meticulous Defenders
I have made it my personal objective to amplify HRDAG's message of being extra careful and scientifically rigorous with human rights data.
HRDAG and the Digital Commons
One of the three main goals of HRDAG is education and outreach, and to that end we use Creative Commons licenses for all of our blogposts and, whenever possible, for our publications. Using a Creative Commons license makes it clear that educators are free to use HRDAG's publications, in their entirety, and with the peace of mind that they are doing so with our blessing.
Also, the use of the Creative Commons license allows us to participate in and encourage the creation of a digital commons, which we feel helps to advance another one of our goals, the creation of knowledge. We feel that it’s important to offer up our publications for use and reuse ...
