Precision Causal Modeling stands on a body of research about making evidence rigorous, responsible, and usable. Explore selected papers below.
How practitioners actually use an AI-based decision-support tool inside a psychiatric residential treatment facility.
A look at how precision analytics reshapes the use of data in mental and behavioral health (Scattergood Foundation).
Using data and evidence to raise outcomes for youth transitioning from foster care.
Project Evident on making evidence usable by the people delivering services.
York and Bamberger on measuring results and impact in a data-rich era.
PDFs open in a new tab. For citations or additional research, contact our team.
We are glad to walk you through the research and how it informs the platform.