Patrick Ball of the California-based Human Rights Data Analysis Group said he had calculated the mortality rate of political prisoners from 1985 to 1988 using reports completed by Habre’s feared secret police.
In this week’s “Top Picks,” IRIN interviews HRDAG executive director Patrick Ball about giant data sets and whether we can trust them. “No matter how big it is, data on violence is always partial,” he says.
Researchers from Rice University and Duke University are using the tools of statistics and data science in collaboration with Human Rights Data Analysis Group (HRDAG) to accurately and efficiently estimate the number of identified victims killed in the Syrian civil war.
…
Using records from four databases of people killed in the Syrian war, Chen, Duke statistician and machine learning expert Rebecca Steorts and Rice computer scientist Anshumali Shrivastava estimated there were 191,874 unique individuals documented from March 2011 to April 2014. That’s very close to the estimate of 191,369 compiled in 2014 by HRDAG, a nonprofit that helps build scientifically defensible, evidence-based arguments of human rights violations.
Principled Data Processing is a way to prove to someone, usually yourself, that what you did was right.
With HRDAG's help, the University of Washington Center for Human Rights team has been able to analyze the scraped text and search for key words such as “jail” in order to gain insight into where immigration arrests are being made.
In 2020, HRDAG provided clarity on issues related to the pandemic, police misconduct, and more.
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...
Identifiers being sequential could make possible estimations of the population of detained children.
Maria Gargiulo has joined HRDAG as a Statistician.
How do police officer booking decisions affect tools relied upon by judges?
I will use the skills and culture I learned from HRDAG’s team to understand how the conflict has affected the people in my country.
With help from HRDAG, Roman Rivera built the data backbone for the Invisible Institute's Citizens Police Data Project.
Paula Amado has joined as a Research Scholar, and María Juliana Durán Fedullo has joined as a Visiting Scholar.
Larry Barrett has joined HRDAG as a Human Rights and Data Science Intern until February, 2022.
Bailey joined HRDAG as a data scientist in 2022.
Alanna Flores joins HRDAG for the summer as a Data Science Fellow.
Shemika Lamare has joined the HRDAG team as our new data science fellow.
Elizabeth Eagen of the Citizens and Technology Lab at Cornell University will expand the HRDAG advisory board.
Margot is a professor in the Department of Energy Resources Engineering at Stanford University, interested in computer simulation and mathematical analysis of engineering processes.
