1 The Problem  

We took on Design Challenge #1 to analyze the problem of identifying optimal foster families using relevant literature to guide our approach.

2 Our Assumptions

We defined a successful placement to be a discharge reason of any of the four possible permanency outcomes. This limited us to a sample size of 6,008 cases in Manhattan from 2015_AFCARS_Foster_Data, 1,454 of which resulted in a permanency outcome. 
Our chosen model parameters are also based on the most important family and child characteristics in literature.

3 Our Approach

After exploring, cleaning, and clustering the data into intuitive groups, we created a logistic regression model that could predict the probability of a permanency outcome.