49 results for search: Что такое меркантильные интересы больше в insta---batmanapollo/feed/copyright
Learning a Modular, Auditable and Reproducible Workflow
The modular nature of the workflow and use of Git allowed us to work on different parts of the project from across the country.
.Rproj Considered Harmful
We aim to produce code that is clear, replicatable across machines and operating systems, and that leaves an easy-to-follow audit trail.
How Data Analysis Confirmed the Bias in a Family Screening Tool
In Pittsburgh …
How we go about estimating casualties in Syria—Part 1
I spent the two weeks over Easter working with Patrick and Megan in San Francisco, trying to figure out a strategy of how best to estimate the number of casualties the Syrian civil war has claimed in the past two years. In January, HRDAG published a report on the number of fully identified casualties reported in the Syrian Arab Republic between March 2011 and November 2012. The number of de-duplicated records of killings for this period was 59,648, a number that is likely to be an undercount since we know that many incidences of lethal violence in conflict go unreported, and that the unreported cases are not missing at random. (more…)
Identifiers of Detained Children Have Implications for Data Security and Estimation
Identifiers being sequential could make possible estimations of the population of detained children.
Can the Armed Conflict Become Part of Colombia’s History?
Paula Amado and María Juliana Durán Fedullo reflect on how the Truth Commission may change Colombia’s history, finally officially acknowledging the 50-year conflict and its casualties, and reckoning with who did what to whom.
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.
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 ...
Dictatorships create a lot of data
Structural Zero Issue 01
Jun 03, 2025
Part One of Our Three Part “Gathering the Data” Series
As a statistician, I spend most days trying to wrangle and analyze massive data sets. The specific data I deal with is documentation of human rights violations. My job is to make sense of data that I know is incomplete and answer questions about the past using statistical analysis and scientific reasoning.
But where does this data come from? How was it generated, and how do human rights advocates and researchers access it and secure it?
To kick off our new newsletter Structural Zero, I’ll be writing a ...
Podcast: Dr. Patrick Ball on Using Statistics to Uncover Truth
Dr. Patrick Ball recently visited the Plutopia News Network podcast for a wide-ranging, inspiring conversation about his work for the Human Rights Data Analysis Group.
Patrick spoke about how he first discovered human rights work during his time in El Salvador with the Peace Brigades International. That led to his ongoing work as a statistician and computer programmer working to assess and analyze human rights violations. He also unpacked some common statistical techniques used by researchers at Human Rights Data Analysis Group, such as multiple systems estimation, which uses multiple different datasets to gain insights into the data we don't ...
How a Data Tool Tracks Police Misconduct and Wandering Officers
Some police officers avoid accountability by “wandering” to another agency. HRDAG and partners created a data tool that tracks officers’ employment history.
How Review of Police Data Verified Neglect of Missing Black Women
Sloppy recordkeeping by Chicago police has compromised missing persons cases. HRDAG is working with Pulitzer Prize-winning Invisible Institute to shed light on these stories.
Analyzing patterns of violence in Colombia using more than 100 databases
The institution’s objectives were to learn the truth about what happened during the armed conflict.
Without Encryption, My Work Wouldn’t Be Possible
Structural Zero Issue 03
August 24, 2025
Part Three of Our Three-Part “Gathering the Data” Series. Read part one and part two.
In computer security, “security” is always relative to something. What are we actually defending against, and how are we doing it? This is our “threat model.”
My colleagues and I have been using scientific tools to analyze evidence of human rights abuses, including using statistics to uncover mass graves in Mexico and analyzing under-reported police homicides in the United States.
Our work isn’t always popular. It can infuriate those in power who want to cover up incriminating truths about the ...
The case of Ana Lucrecia Orellana Stormont
When working with documents in an archive, every document offers the opportunity for statistical study and quantitative research. But a document can also offer the discovery of a story. That is the case with the disappearance of Ana Lucrecia Orellana Stormont, who was reported missing on June 6, 1983, at the age of 35.
Ana Lucrecia, a professor of psychology at the University of San Carlos, was scheduled to attend a meeting with Edgar Raúl Rivas Rodríguez at the Plaza Hotel in Guatemala’s capital city. Edgar, who also went missing, was a teacher at the School of Political Science at the University. (Ana Lucrecia’s case is explained more fully ...
How Many People Will Get Covid-19?
HRDAG has authored two articles in Significance that add depth to discussions around infection rates.
Epidemiology has theories. We should study them.
With so many dashboards and shiny visualizations, how can an interested non-technical reader find good science among the noise?
Always Learning
The data science field is always changing, which means that I'll always be learning.