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Data coding and inter-rater reliability (IRR)
Data coding is the process of converting unstructured information, such as a narrative testimony, into discrete facts such as names and roles of actors (victims, witnesses, perpetrators) in crimes, as well as the date and place of act. Data coding must not discard or distort information. When more than one person is identifying, classifying and counting the elements reported in a qualitative source, the results of what they find may differ slightly based on each individual's interpretation and care in doing the coding. These differences can be measured by measuring IRR (inter-rater reliability). We give the same source document to several coders and ...
Happy Ada Lovelace Day!
As an organization that uses science to advocate for human rights, the goals and issues represented by Ada Lovelace Day are very near and dear to our hearts. Additionally, we are lucky to work with and be advised by some pretty kick-ass ladies in STEM (see our People page to learn more about these amazing women (and men)).
I brainstormed a list of women I could write about, as Finding Ada suggests we celebrate today by blogging about a STEM heroine. I considered Anita Borg (she has her own institute!), who advocated tirelessly for women in computer science. I thought about Sally Wyatt, keynote speaker and organizer of the fascinating workshop...
Claudia Carolina López Taks
Field Consultant
Carolina Lopéz has worked with the Archivo Histórico de la Policía Nacional (AHPN) in Guatemala for eight years, and is currently a member of the Archive Technical Coordination team. A professional working within the social sciences, she prefers using alternative research on past practices to develop an understanding of the present. Her work consists primarily of monitoring and creating strategies to systematize, track and create process controls. She also has thorough knowledge of management of historical archive documents.
Since 2006, Carolina has worked in quantitative research at the AHPN with HRDAG team members Patrick ...
The Great Lessons in Research at the Archive
Doing an investigation on the contents of the Archive brought with it three major lessons. The first big lesson was the constant movement (nothing was static), The second great lesson was that everything evolved (the changes were a constant). The third major lesson was to discover how two institutions can work together while geographically far apart.
The constant movement
As there were other processes being carried out at the Archive, everything was in constant movement. In other words, one day the documents were in X location and tomorrow they may be in location Y or dispersed in multiple locations. This made it impossible to know with certai...
An Award for Anita Gohdes
On November 26, HRDAG colleague Anita Gohdes was awarded the German Dissertation Prize for the Social Sciences. The patron of the prize is the President of the German Parliament, Norbert Lammert, who presented Anita with the award.
Anita’s dissertation, “Repression 2.0: The Internet in the War Arsenal of Modern Dictators,” investigates the role played by social media networks in modern dictatorships, such as President Assad’s regime in Syria. On one hand, Anita argues, social media can help opposition groups to organize more effectively, but on the other hand, the same networks allow regimes to monitor and manipulate the population. ...
Welcoming Our 2019 Human Rights Intern
Trina Reynolds-Tyler is HRDAG's 2019 Human Rights Intern.
HRDAG Names New Board Member Margot Gerritsen
Margot is a professor in the Department of Energy Resources Engineering at Stanford University, interested in computer simulation and mathematical analysis of engineering processes.
Welcoming Our 2018 Data Science Fellow
Shemika Lamare has joined the HRDAG team as our new data science fellow.
Reflections: A Meaningful Partnership between HRDAG and Benetech
I joined the Benetech Human Rights Program at essentially the same time that HRDAG did, coming to Benetech from years of analyzing data for large companies in the transportation, hospitality and retail industries. But the data that HRDAG dealt with was not like the data I was familiar with, and I was fascinated to learn about how they used the data to determine "who did what to whom." Although some of the methodologies were similar to what I had experience with in the for-profit sector, the goals and beneficiaries of the analyses were very different.
At Benetech, I was initially predominantly focused on product management for Martus, a free ...
Kristian Lum in Bloomberg
The interview poses questions about Lum's focus on artificial intelligence and its impact on predictive policing and sentencing programs.
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 ...
Reflections: It Began In Bogotá
It was July of 2006, I’d spent five years working at a local human rights NGO in Bogotá, and I had reached retirement age. But then a whole new world opened up for me to discover. Tamy Guberek, then HRDAG Latin America coordinator, whom I had met at the NGO, approached me about becoming part of the HRDAG Colombia team as a research/administrative assistant. Over a cup of suitably Colombian coffee, the deal was quickly "signed.” My responsibilities ranged from fundraising to translations, from support in data gathering for estimates on homicides and disappearances in various regions of Colombia to editorial support to different Benetech-HRDAG ...
Stephen Fienberg 1942-2016
We are saddened by the passing of Steve Fienberg yesterday in Pittsburgh, at the age of 74. He is perhaps best known around the world for bringing statistics to science and public policy and was a beloved professor at Carnegie Mellon University. At HRDAG we are in awe of and grateful for the work Steve did formalizing multiple systems estimation. His work on that front blazed a trail and essentially enabled all of our most important analytical work at the intersection of human rights and statistical science.
If we are to reduce the amount of human violence in the world, the first task is to determine the scope of the violence, to know how much of ...
Announcing New HRDAG Advisory Board Member
Elizabeth Eagen of the Citizens and Technology Lab at Cornell University will expand the HRDAG advisory board.
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USA
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intro text: HRDAG’s analysis and expertise continues to deepen the national conversation... Each theme can be noted and linked to in this paragraph, as well as shown below. Number of words total TBD.
Exposing algorithmic discrimination
See all from algorithmic discrimination
Using ...
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
Lies, Damned Lies and Official Statistics
This essay in the Health and Human Rights Journal addresses attempts to undermine Covid-19 data collection.
Tech Note
Using large language models for structured information extraction from the Innocence Project New Orleans' wrongful conviction case files.
Exoneration documents, secured during legal proceedings that aim to right the wrongs of justice, are invaluable for understanding wrongful convictions. They cast a spotlight on law enforcement actions, revealing systemic challenges. Yet, finding and leveraging usable information within these collections remains a formidable task for researchers and advocates, due to their volume and unstructured heterogeneity.
This post introduces the methodology of the Innocence Discovery Lab, a collaboration between Innoce...
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<iframe src="https://www.youtube.com/embed/MfThopD7L1Y?list=PL8mc5VYrQH_Nx9jSWF2rYEgQhHyVobk6s" width="560" height="315" frameborder="0" allowfullscreen="allowfullscreen"></iframe>Kristian Lum, lead statistician at HRDAG | <em>Predictive Policing: Bias In, Bias Out</em> | 56 mins