OUTCOMES FOR KIDS®
WE ARE ON A MISSION TO STOP CHILD MALTREATMENT BEFORE IT HAPPENS
Through geospatial risk analysis, strategic alignment of community initiatives, and implementation of accountable prevention programs, we discover practical solutions to the fundamental problems of child maltreatment, preventing the suffering and death of little children due to abuse and neglect.
View our work for New Hampshire DHHS:
Hear New Hampshire DHHS
discuss our collaboration:
View our work for
ENGINEERING BETTER OUTCOMES FOR KIDS®
Our program predicts where child maltreatment is likely to occur in the future using place-based, predictive analytics to geographically define areas with the highest risk.
We then set to work to align limited prevention resources to do the greatest good while providing child welfare agencies the tools, knowledge, and actionable plans to continue measuring and improving prevention efforts year after year.
Watch Founder and CEO Dr. Dyann Daley Explain the Predict-Align-Prevent (PAP) Program
Since our founding in 2017, Predict-Align-Prevent has worked with child welfare agencies in 7 states and 9 American cities to develop a free and open-source machine learning workflow to predict where child abuse and neglect will occur in areas as small as a football field.
More than 60% of child abuse, 75% of removals into foster care, and half of child abuse deaths typically occur in 5-10% of a city’s area. Aligning prevention resources and supports in these areas will help communities learn if they are offering effective solutions to prevent child abuse and neglect in a way that is measurable and repeatable. Hear about how our work has progressed over the years in this presentation, originally recorded for Cook County Health and Rush University Children's Hospital on March 24, 2020.