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HRDAG Welcomes New Data Science Fellow
Our newest Data Science Fellow, Will Taylor, is currently a doctoral student in political science and public policy at the University of Michigan.
HRDAG at FAT* 2020: Pre-Trial Risk Assessment Tools
How do police officer booking decisions affect pre-trial risk assessment tools relied upon by judges?
Violence in Blue: The 2020 Update
HRDAG has refreshed a 2016 Granta article about homicides committed by police in the United States.
Scanning Documents to Uncover Police Violence
Administrative paperwork generated by police departments can hold evidence of police violence, but can present unique challenges for data processing.
In Colombia: HRDAG and Dejusticia on the Importance of Missing Data
It’s inevitable that databases will have information gaps, and special care must be taken to account for these gaps.
PRIO 2023 Shortlist for Nobel Peace Prize
In a CNN interview predicting a Nobel Peace Prize winner, Henrik Urdal from PRIO talks about his shortlist and HRDAG.
Inside Syria’s prisons, where an estimated 17,723 have died since 2011
Excerpt from the article: The estimate is based on reports from four organizations investigating deaths in Syria from March 15, 2011, to December, 31, 2015. From those cases, the Human Rights Data Analysis Group identified 12,270 cases with sufficient information to confirm the person was killed in detention. Using a statistical method to estimate how many victims they do not yet know about, the group came up with 17,723 cases.
How Predictive Policing Reinforces Bias
Algorithmic tools like PredPol were supposed to reduce bias. But HRDAG has found that racial bias is baked into the data used to train the tools.
Reflections: Pivotal Moments in Freetown
The summer of 2002 in Washington, DC, was steamy and hot, which is how I remember my introduction to HRDAG. I had begun working with them, while they were still at AAAS, in the late spring, learning all about their core concepts: duplicate reporting and MSE, controlled vocabularies, inter-rater reliability, data models and more. The days were long, with a second shift more often than not running late into the evening. In addition to all the learning, I also helped with matching for the Chad project – that is, identifying multiple records of the same violation – back when matching was done by hand. But it was not long after I arrived in Washington ...
Tech Corner
The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. Click the accordion blocks below to reveal each of the Tech Corner entries.
Sifting Massive Datasets with Machine Learning
Principled Data Processing
Testimonials
HRDAG is honored to work with a diverse set of partners. These organizations and the individuals that operate them are critical to our success, and our goal is to be critical to theirs. Here are a few quotes from our colleagues.
"Over the last two years, Dr Patrick Ball has spoken several times to relevant AI staff on the use (and mis-use) of quantitative data in human rights work. Each time, people rave about it afterwards commenting on Patrick's inimical skills to convey the complexity of statistical science in an accessible, relevant and fun way. This year, we also organised small meetings with individual teams who have to crunch 'big data' ...
Disrupt San Francisco TechCrunch 2018
On September 7, 2018, Kristian Lum and Patrick Ball participated in a panel at Disrupt San Francisco by TechCrunch. The talk was titled "Dismantling Algorithmic Bias." Brian Brackeen of Kairos was part of the panel as well, and the talk was moderated by TechCrunch reporter Megan Rose Dickey.
From the TechCrunch website, "Disrupt is a 3-day conference focused on breaking technology news and developments with big-name thought leaders who are making waves in the industry."
Video of the talk is available here, and Megan Rose Dickey's coverage is here.
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…)
Our Copyright Policy
We have specified "Some Rights Reserved" on our website, instead of the more conventional "All Rights Reserved." This is because some of our web content is covered by a Creative Commons license, which means that it may be copied and even re-purposed, with some stipulations. We have made this decision because HRDAG wants to contribute to the digital commons, defined by Creative Commons as "a pool of content that can be copied, distributed, edited, remixed, and built upon, all within the boundaries of copyright law."
Our Creative Commons License
We are using the Attribution-NonCommercial-ShareAlike license, also known as the BY-NC-SA license. Here is ...
The AHPN: Home of Stories Old and New
Access to the records contained in archives is a concern shared by many. Archives support memory and free access to them strengthens democratic processes. Everyone should be allowed to see first-hand the records contained in an archive and be free to interpret them as needed.
Access to archives can increase knowledge on various topics and opens opportunities for different fields of knowledge. (more…)
Counting the Dead in Sri Lanka
ITJP and HRDAG are urging groups inside and outside Sri Lanka to share existing casualty lists.
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.
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 ...