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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.
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.
Reflections on Data Science for Real-World Problems
Trina Reynolds-Tyler's internship at HRDAG helped her use data science to find patterns in state-sanctioned violence.
Multiple Systems Estimation: Stratification and Estimation
<< Previous post, MSE: The Matching Process
Q10. What is stratification?
Q11. [In depth] How do HRDAG analysts approach stratification, and why is it important?
Q12. How does MSE find the total number of violations?
Q13. [In depth] What are the assumptions of two-system MSE (capture-recapture)? Why are they not necessary with three or more systems?
Q14. What statistical model(s) does HRDAG typically use to calculate MSE estimates? (more…)
Guatemala
Collecting and Protecting Human Rights Data in Guatemala (1991-2013)
In 1996, a peace accord brokered by the United Nations ended 36 years of internal armed conflict in Guatemala. During the hostilities, non-governmental organizations asked for technical support from the scientific community in the project to gather the experiences of witnesses and victims in databases.
From 1993 to 1999 Dr. Patrick Ball, then at the American Association for the Advancement of Science (AAAS), worked with the International Center for Human Rights Research in Guatemala (CIIDH) to collect and organize evidence of more than 43,000 human rights violations. The ...
Reflections: The G in HRDAG is the Real Fuel
It took me a while to realize I had become part of the HRDAG incubator—at least that’s what it felt like to me—for young data analysts who wanted to use statistical knowledge to make a real impact on human rights debates.
Timor-Leste
During the violence in Timor-Leste in June 2006, armed gangs broke into the offices of the Commission for Reception, Truth and Reconciliation (CAVR) in Dili and stole their motorbikes.
The Human Rights Data Analysis Group, then at Benetech®, and other human rights observers wondered whether the mobs would soon return to loot the irreplaceable paper records used by the CAVR to compile their definitive report entitled "Chega!"
The Benetech Initiative contributed to the CAVR findings and released a separate statistical report (PDF) establishing that at least 102,800 (+/- 11,000) Timorese died as a result of human rights violations in Timor-Leste ...
Tchad Foire Aux Quesions
Violations de droits de l'homme par l'Etat tchadien sous le régime de Hissène Habré
[English]
Quels sont les principaux résultats de ce rapport?
Quelles violations de droits de l'homme commises dans les prisons de la DDS ont été prouvées?
Quelle preuve il y a t-il que Habré et la direction de la DDS étaient responsables pour ces violations de droits de l'homme?
D'où proviennent les documents internes de la DDS?
En quelle mesure l'analyse comprise dans le rapport contribue t-elle a l'affaire judiciaire Hissène Habré?
Est-ce que HRDAG donne des estimations concernant le nombre total de personnes tuées dans les prisons par la DDS - les ...
Data on Kosovo Killings
The data on killings in Kosovo are in four files. All of the files are comma-delimited ASCII. The fields in each file are described below.
If you use these data on Kosovo killings, 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.).”
Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovich, and Jana Asher. (2002). AAAS/ABA-CEELI/Human Rights Data ...
Funding
HRDAG’s funding comes from private, international donors: the John D. and Catherine T. MacArthur Foundation, Open Society Foundations, an anonymous U.S.-based private foundation, Ford Foundation, The National Endowment for Democracy and individual donors. This funding supports both specific projects, as well as our scientific work generally in human rights data analysis.
For the entirety of its existence, HRDAG has been a project of non-profit organizations, first at the American Association for the Advancement of Science (AAAS), and then at Benetech, a non-profit Silicon Valley technology company. In February 2013, HRDAG became ...
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
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.
Primer to Inform Discussions about Bail Reform
The primer addresses what pretrial risk assessment is and what the research supports.
.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.
Identifiers of Detained Children Have Implications for Data Security and Estimation
Identifiers being sequential could make possible estimations of the population of detained children.
How Data Analysis Confirmed the Bias in a Family Screening Tool
In Pittsburgh …
There may have been 14 undocumented Korean “comfort women” in Palembang, Indonesia
Patrick Ball, Ethan Hee-Seok Shin and Hyerin Yang (2018). There may have been 14 undocumented Korean “comfort women” in Palembang, Indonesia. Human Rights Data Analysis Group. 26 December 2018.© 2018 HRDAG. Creative Commons.
Patrick Ball, Ethan Hee-Seok Shin and Hyerin Yang (2018). There may have been 14 undocumented Korean “comfort women” in Palembang, Indonesia. Human Rights Data Analysis Group. 26 December 2018.© 2018 HRDAG. Creative Commons.
The Truth of Truth Commissions: Comparative Lessons from Haiti, South Africa, and Guatemala.
Audrey Chapman and Patrick Ball. “The Truth of Truth Commissions: Comparative Lessons from Haiti, South Africa, and Guatemala.” Human Rights Quarterly. 23(4):1-42. 2001
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, ...
Reflections: A Simple Plan
I got an email from my superheroic PhD adviser in June 2006: Would I be interested in relocating to Palo Alto for six months in order to work with Patrick Ball at the Human Rights Data Analysis Group? (She'd gotten a grant and would cover my stipend.) Since I'd spent the last several months in New Haven wrestling ineffectually with giant, brain-melting methodological problems, I said yes immediately.
The plan with my adviser was simple: I'd digitize the ancient, multiply-photocopied pages of data from the United Nations Truth Commission for El Salvador, combine them with two other datasets, match across all the records, and produce reliable ...