GRM-080 Leveraging Data Science for Resilience: Improving Trauma-Informed Care Practice for Adverse Childhood Experience with AI & Data Science Application

Adverse Childhood Experiences (ACEs) have long-lasting effects on physical health, mental well-being, education, and socioeconomic outcomes. Resilient Georgia (RG), a statewide initiative, seeks to address ACEs through trauma-informed care and data-driven strategies. However, challenges in data collection, analysis, and tracking hinder the effectiveness of these efforts. This study explores the role of data science and interactive visualization tools in improving outcomes for individuals and communities affected by ACEs. A key focus of this research is the development of a data science management application designed to enhance data collection and facilitate real-time decision-making. The application features interactive dashboards that allow stakeholders such as policymakers, healthcare providers, and community leaders to visualize program outcomes and track trends. Users can input data manually, upload files, and generate custom visualizations, making data more accessible and actionable for informed decision-making. By integrating these data-driven tools, RG can improve the monitoring and evaluation of its programs, optimize resource allocation, and ensure that vulnerable populations receive timely support. This study contributes to the growing body of literature on leveraging technology and data science to mitigate the impact of ACEs and promote long-term well-being.