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The Limits of Observation for Understanding Mass Violence.
Kosovo 1999 – Using MSE to Examine Political Claims
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.
Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project
Patrick Ball. Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project. © 1996 American Association for the Advancement of Science.
Truth Commissioner
From the Guatemalan military to the South African apartheid police, code cruncher Patrick Ball singles out the perpetrators of political violence.
Evaluating gunshot detection technology
Estimating the human toll in Syria
Megan Price (2017). Estimating the human toll in Syria. Nature. 8 February 2017. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Human Behaviour. ISSN 2397-3374.
Evaluation of the Kosovo Memory Book at Pristina
Predictive policing tools send cops to poor/black neighborhoods
In this post, Cory Doctorow writes about the Significance article co-authored by Kristian Lum and William Isaac.
Trips to and from Guatemala
Searching for Trends: Analyzing Patterns in Conflict Violence Data
Megan Price and Anita Gohdes (2014). Searching for Trends: Analyzing Patterns in Conflict Violence Data. Political Violence @ a Glance. © 2014 PV@G.
HRDAG and AHPN Launch Book Detailing Collaboration
Reflections: The G in HRDAG is the Real Fuel
Political Killings in Kosovo, March–June, 1999
Political Killings in Kosovo, March–June, 1999. American Association for the Advancement of Science, Science and Human Rights Program. © 2000 American Bar Association Central and East European Law Initiative.
Different Convenience Samples, Different Stories: The Case of Sierra Leone.
Anita Gohdes. “Different Convenience Samples, Different Stories: The Case of Sierra Leone.” Benetech. 2010. © 2010 Benetech. Creative Commons BY-NC-SA.
Counting the Unknown Victims of Political Violence: The Work of the Human Rights Data Analysis Group
Ann Harrison (2012). Counting the Unknown Victims of Political Violence: The Work of the Human Rights Data Analysis Group, in Human Rights and Information Communications Technologies: Trends and Consequences of Use. © 2012 IGI Global. All rights reserved.
On ensuring a higher level of data quality when documenting human rights violations to support research into the origins and cause of human rights violations
Romesh Silva. “On ensuring a higher level of data quality when documenting human rights violations to support research into the origins and cause of human rights violations.” ASA Proceedings of the Joint Statistical Meetings, the International Biometric Society (ENAR and WNAR), the Institute of Mathematical Statistics, and the Statistical Society of Canada. August, 2002.
Making the Case. Investigating Large Scale Human Rights Violations Using Information Systems and Data Analysis
Patrick Ball, Herbert F. Spirer, and Louise Spirer, eds. Making the Case. Investigating Large Scale Human Rights Violations Using Information Systems and Data Analysis . © 2000 American Association for the Advancement of Science. All rights reserved. Reprinted with permission. [full text] [intro] [chapters 1 2 3 4 5 67 8 9 10 11 12]