Our work
Social Data Analytics brings simple and intuitive data science tools to workers, supervisors and managers in frontline human services.
Our success is due to a team that combines strong technology and a deep passion and understanding of these systems. SDA has a strong commitment to independent evaluation, transparency and ethical use of data science.
Real world impact
Child Safety
The SDA Child Safety Platform is used to support decisions across the whole spectrum of child welfare. They rely on a predictive risk model generated by machine learning to help decision makers focus attention and guide practice. Our tools have been shown to save frontline workers time, improve safety and reduce racial disparities.
Homelessness
SDA uses machine learning tools to support the triaging of clients within the homelessness system. Our tools, including HAST™ support better and more equitable outcomes by prioritizing resources for the highest-need housing clients in United States jurisdictions. By relieving workers of the time consuming task of triaging, tools release time for better client engagement.
Mental Health
SDA has developed machine learning tools to manage excessively long waitlists for mental health services, including mental health residential programs. Machine learning is a powerful tool for proactively managing wait times within the mental health system.