How Many People Will Get Covid-19?
HRDAG has authored two articles in Significance that add depth to discussions around infection rates.
A Model to Estimate SARS-CoV-2-Positive Americans
We’ve built a model for estimating the true number of positives, using what we have determined to be the most reliable datasets—deaths.
Epidemiology has theories. We should study them.
With so many dashboards and shiny visualizations, how can an interested non-technical reader find good science among the noise?
Welcoming Our New Statistician
Maria Gargiulo has joined HRDAG as a Statistician.
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.
Overbooking’s Impact on Pre-Trial Risk Assessment Tools
How do police officer booking decisions affect tools relied upon by judges?
Identifiers of Detained Children Have Implications for Data Security and Estimation
Identifiers being sequential could make possible estimations of the population of detained children.
HRDAG’s Year End Review: 2019
In 2019, HRDAG aimed to count those who haven't been counted.
HRDAG at FAT* 2020: Pre-Trial Risk Assessment Tools
How do police officer booking decisions affect pre-trial risk assessment tools relied upon by judges?
Welcoming Our 2019-2020 Visiting Data Science Student
Bing Wang has joined HRDAG as a Visiting Data Science Student until the summer of 2020.
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.
.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.
Killings of Social Movement Leaders in Colombia
Using multiple system estimation, we estimate the total population of social movement leaders killed in Colombia during 2018.
How Predictive Policing Reinforces Bias
Algorithmic tools like PredPol were supposed to reduce bias. But HRDAG has found that racial bias is baked into the data used to train the tools.
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.
Welcoming Our 2019 Visiting Analyst
Valentina Rozo Ángel has joined our team as our new visiting analyst this fall.
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.
Outreach at Toronto TamilFest for Counting the Dead
Michelle spent a weekend in Toronto, Canada, reaching out to the community at TamilFest, where she and a colleague invited people to sit down and talk.
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.
RustConf 2019, and systems programming as a data scientist
It could make sense to use Rust as a data journalist for in-browser computations, and other thoughts from RustConf.
