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Celebrating Ten Years of Data from the AHPN
Ten years ago, in July 2005, human rights officers stumbled upon a nondescript warehouse in a commercial zone of Guatemala City and changed history. They had discovered an archive–its existence kept secret–belonging to the Guatemalan National Police, whose officers committed human rights atrocities on behalf of the government during the civil war.
Inside the building was the bureaucratic detritus typical of a large government agency: 80 million pages detailing shifts worked, tasks assigned, assignments fulfilled, workers’ whereabouts, and who was supervising whom. The documents, which were found stacked on dirty floors, shoved into bags, ...
Data on Kosovo – Other
The other data is in three files. All of the files are comma-delimited UTF-8 (like ASCII but including the characters to render Serbian names). The fields in each file are described below.
If you use these data, please cite them with the following citation, as well as this note:
“These are convenience sample data, and as such they are not a statistically representative sample of events in this conflict. These data do not support conclusions about patterns, trends, or other substantive comparisons (such as over time, space, ethnicity, age, etc.).”
Human Rights Data Analysis Group. (2002). Database of NATO airstrikes, geographic coding, and KLA ...
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.
Identifiers of Detained Children Have Implications for Data Security and Estimation
Identifiers being sequential could make possible estimations of the population of detained children.
Rise of the racist robots – how AI is learning all our worst impulses
“If you’re not careful, you risk automating the exact same biases these programs are supposed to eliminate,” says Kristian Lum, the lead statistician at the San Francisco-based, non-profit Human Rights Data Analysis Group (HRDAG). Last year, Lum and a co-author showed that PredPol, a program for police departments that predicts hotspots where future crime might occur, could potentially get stuck in a feedback loop of over-policing majority black and brown neighbourhoods. The program was “learning” from previous crime reports. For Samuel Sinyangwe, a justice activist and policy researcher, this kind of approach is “especially nefarious” because police can say: “We’re not being biased, we’re just doing what the math tells us.” And the public perception might be that the algorithms are impartial.
Connect with HRDAG
If you’d like to stay informed about HRDAG events, blogposts, and news, connect with us on Twitter, Facebook or through our RSS feed. We also have a LinkedIn page.
You may contact us directly via email at info @ hrdag.org.
A note for persons in search of assistance with specific human rights cases: We are very sorry for your troubles and your suffering; however, HRDAG does not take on casework. If you need help with a human rights case, you might consider requesting it from the International Committee of the Red Cross (www.icrc.org).
Photo: U.S. National Archives
Trove to IPFS
IPFS is a peer-to-peer storage network that promotes the resiliency, immutability, and auditability of data. This README explains code written to shepherd the files from janky external USB drives to IPFS.
Megan Price: Life-Long ‘Math Nerd’ Finds Career in Social Justice
“I was always a math nerd. My mother has a polaroid of me in the fourth grade with my science fair project … . It was the history of mathematics. In college, I was a math major for a year and then switched to statistics.
I always wanted to work in social justice. I was raised by hippies, went to protests when I was young. I always felt I had an obligation to make the world a little bit better.”
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.
Welcoming Our 2019-2020 Visiting Data Science Student
Bing Wang has joined HRDAG as a Visiting Data Science Student until the summer of 2020.
Videos
Here is a collection of videos that profile projects or features us at speaking engagements. Please get in touch with us if you have any HRDAG video or photography.
Welcoming Our New Data Scientist
We're thrilled to announce that Tarak Shah has joined our team as our new data scientist.
Welcoming a New Board Member
As we get ready to begin our fourth year as an independent nonprofit, we are, as always, indebted to our Advisory Board and to our funders for their support and vision. We’re finishing up a busy year that took us to Dakar (for the trial of former Chadian dictator Hissène Habré), Pristina (for the release of the Kosovo Memory Book), Colombia (for work on a book about the Guatemalan Police Archives), and kept us busy here at home working on police violence statistics. But one of our biggest victories has been to score a new, talented, wise Advisory Board member—Michael Bear Kleinman, whom we first met when he was working with Humanity United.
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Beka Steorts Named MIT Under-35 Innovator
We’ve known for years that Beka Steorts is on the cutting-edge of statistical science, and now The MIT Technology Review has realized the same. Last week she was named one of 35 Innovators Under 35, in the category of humanitarian.
We first became familiar with Beka's work in 2013 when she was a visiting professor at Carnegie Mellon and was introduced to us by Prof. Steve Fienberg. Since then, we’ve felt very fortunate to collaborate with her on projects such as the UN enumeration of casualties in the Syrian conflict, and we look forward to many more years of work with her. She is one of several young stars we include in our superheroine hall ...
Uncovering Police Violence in Chicago: A collaboration between HRDAG and Invisible Institute
In 2014 and again in 2020, the Invisible Institute, a Chicago grassroots organization, won lawsuits that granted them access to decades of complaints of misconduct by Chicago police officers. The collection contains hundreds of thousands of pages of allegation forms, memos, various police administrative forms, interviews and testimonies, pictures, and even embedded audio files. The Institute published scanned images on the Citizens Police Data Project, and is using them for a project with HRDAG known as Beneath the Surface, which is a detailed investigation into gender-based violence by Chicago Police.
Image: David Peters
Often, gender-b...
HRDAG’s Year End Review: 2019
In 2019, HRDAG aimed to count those who haven't been counted.
Newsletters
2025
24 June, 2025 - Breaking through the noise with evidence
20 March, 2025 - Focus on HRDAG’s US-based projects
2024
10 December, 2024 - Witnessing Syria on Human Rights Day
29 November, 2024 - Giving thanks
20 November, 2024 - We are resolute
22 October, 2024 - Gaining insights into wrongful convictions
9 October, 2024 - A new tool for tracking police misconduct
18 September, 2024 - Evaluating gunshot detection technology
18 June, 2024 - A Pulitzer for an HRDAG partner
1 March, 2024 - Citations with impact
2023
21 December, 2023 - Evaluating tools to weed out discrimination
15 December, 2023 - ...
Welcoming Our New HRDAG Data Scientist
Bailey joined HRDAG as a data scientist in 2022.
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.