The AI-PHSS workshop explores how AI technologies enhance public health and social services, focusing on revolutionizing surveillance, tackling health issues, and informing policy decisions. It highlights AI's potential to amplify community engagement, streamline social worker case management, and optimize service delivery. The workshop will bring together researchers, practitioners, healthcare professionals, and policymakers to share insights, exchange ideas, and foster collaborations in these critical areas. We invite submissions of papers and posters that investigate AI applications in public health and social services, such as predictive modeling for chronic disease management, real-world data analysis, sentiment analysis in social services, resource allocation optimization, and AI-driven decision support systems in public health and social services. Through interdisciplinary exchange, we aim to advance understanding of AI's role in addressing public health challenges and improving social service provision efficiency. We are inviting original research submissions as well as work-in-progress to the Workshop on AI Applications in Public Health and Social Services (AI-PHSS).
Topics of interest include but not limited to:
We invite submissions of short abstracts (1 to 2 pages, including references) for Podium and Poster presentations. Abstracts should be formatted according to Springer’s LNCS format