activity
20212025
most citedHow to Train a (Bad) Algorithmic Caseworker: A Quantitative Deconstruction of Risk Assessments in Child-Welfare

21 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2025

Operationalizing Justice: Towards the Development of a Principle Based Design Framework for Human Services AI

Maria Y. Rodriguez, Seventy Hall, Pranav Sankhe +4

Scholars investigating ethical AI, especially in high stakes settings like child welfare, have arguably been seeking ways to embed notions of justice into the design of these criti…

cs.CY2022

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…

cs.CY2022

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…

cs.HC2022★ 21 cited

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…

cs.SI2021★ 1 cited

A Computational Social Science Approach to Understanding Predictors of Chafee Service Receipt

Jason Yan, Melanie Sage, Seventy F. Hall +2

The John H. Chafee Foster Care Program for Successful Transition to Adulthood (CFCIP) allocates funding to provide services to youth who are likely to age out of foster care. These…