Over the past six months, we have been working closely with Gulf Coast JFCS on a data science project to explore the underlying reasons and factors that contribute to children re-entering Florida’s “system of care” within one year following family reunification. This project was first introduced identified by Gulf Coast Jewish Family and Community Services in September of 2019 and then to Tampa Bay Data Science Meetup on October 16th, 2019. Since that time we have been amazed by the support of our community and the results we have seen.
Our goal was to use the SageLegion platform to identify any patterns that exist surrounding adult behaviors in the home or other environments that may indicate a likelihood of the reunified child being re-abused. Some of the indicators reviewed included single or two parent households, other toddlers or non-verbal children in the home, previous reports of abuse, age of the child and parents, and time before the initial unification. The identification of such patterns could assist child welfare case managers and other stakeholders in determining plans for wraparound services post-reunification to ensure families continue to grow in their capacity to support their children without the need for additional child removals from the home.
Throughout this project, we received tremendous support from the community. Within the project, we had 50 people engaged with the problem, 29 registered “Team Members”, and 15 registered “Vendors”. Of these participants, there were 4 data scientists/organizations that delivered detailed solutions which were then presented at the Tampa Bay Data Science Meetup in February 2020.
Here at SageLegion, we strive to remove the friction in getting complex analytic work done remotely. This community project perfectly demonstrates the platform’s ability to facilitate collaboration between Business Leaders, Subject Matter Experts, Data Scientists and Researchers, and we are proud to have been part of such an important project. There were no in-person meetings and the collective collaborators presented solutions with diverse technologies managed through the platform. Individual solutions included: R, Python and MS Azure Cloud capabilities.
We would like to thank the Tampa Bay Data Science Group for their sponsorship, as well as the participants who have provided their valuable time and experience to volunteer to do work on this problem. We would also like to thank Gulf Coast JFSC for bringing this problem to SageLegion as well as Amazon Web Services and Microsoft Azure Support Teams. We truly appreciate your dedication to these efforts, and together we can make an impact.
If you are interested in learning more about how SageLegion can help your business get complex analytic work done, please contact us at Support@SageLegion.com. We look forward to collaborating with you.