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HRDAG Names New Board Member William Isaac
William Isaac joins HRDAG's Advisory Board, bringing expertise in fairness and artificial intelligence.
Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies
This Harvard Data Science Review article uses the least unreliable source of pandemic data: reported deaths.
Report on Measures of Fairness in NYC Risk Assessment Tool
The report tries to answer the question of whether a particular risk assessment model reinforces racial inequalities in the criminal justice system.
Lessons at HRDAG: Making More Syrian Records Usable
If we could glean key missing information from those fields, we would be able to use more records.
How much faith can we place in coronavirus antibody tests?
Given a positive test result, what is the probability that an individual has antibodies? This HRDAG-authored Granta article explains the science.
Welcoming Our New Foundation Relations and Strategy Lead
On March 16, Kristen Yawitz joined the HRDAG team in the role of Foundation Relations and Strategy Lead.
How Many People Will Get Covid-19?
HRDAG has authored two articles in Significance that add depth to discussions around infection rates.
Uncertainty in COVID Fatality Rates
In this Granta article, HRDAG explains that neither the infectiousness nor the deadliness of the disease is set in stone.
Welcoming Our 2019-2020 Visiting Data Science Student
Bing Wang has joined HRDAG as a Visiting Data Science Student until the summer of 2020.
.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.
New Research on Civilian Deaths and Disappearances in El Salvador
This rigorous estimate shows that 1-2 percent of the country’s population was killed or disappeared during the civil war.
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...