21 citations · 22 across the 5 of their papers we have counts for
3 papers · 1 filter
Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data
Pranav Sankhe, Seventy F. Hall, Melanie Sage +3
Youth in the American foster care system are significantly more likely than their peers to face a number of negative life outcomes, from homelessness to incarceration. Administrati…
A Data-Driven Simulation of the New York State Foster Care System
Yuhao Du, Stefania Ionescu, Melanie Sage +1
We introduce an analytic pipeline to model and simulate youth trajectories through the New York state foster care system. Our goal in doing so is to forecast how proposed intervent…
How to Train a (Bad) Algorithmic Caseworker: A Quantitative Deconstruction of Risk Assessments in Child-Welfare
Devansh Saxena, Charlie Repaci, Melanie Sage +1
Child welfare (CW) agencies use risk assessment tools as a means to achieve evidence-based, consistent, and unbiased decision-making. These risk assessments act as data collection…