AI-PHSS 2024: The 2024 International AI Applications in Public Health and Social Services Salt Lake City, UT, United States, July 9, 2024 |
Conference website | https://ai-phss.github.io/AI-PHSS2024 |
Submission link | https://easychair.org/conferences/?conf=aiphss2024 |
Abstract registration deadline | May 15, 2024 |
Submission deadline | June 5, 2024 |
Introduction
The 2024 International AI Applications in Public Health and Social Services (AI-PHSS 2024) 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).
List of Topics
o Predictive modeling for disease surveillance and outbreak detection.
o Sentiment analysis and natural language processing for community health engagement
o AI-driven decision support systems for social workers in case management.
o Optimization algorithms for resource allocation in social service delivery.
o Machine learning approaches for early detection and intervention in public health issues.
o Data mining techniques for identifying patterns and trends in public health data.
o Ethical considerations in deploying AI technologies in public health and social services.
o Human-AI collaboration frameworks for enhancing public health and social services.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
All papers are refereed through a single blind process. All papers must be submitted online (EasyChair)
https://easychair.org/my/conference?conf=aiphss2024
Important Dates
- May 15, 2024: Submission Deadline
- May 30, 2024: Notice of Acceptance
- June 5, 2024: Manuscript Submission Deadline
- July 9, 2024: Workshop
Chairs
- Huanmei Wu, PhD, Temple University College of Public Health
- Evangelia Katsoulakis, MD, University of South Florida (USF)
- Hongfang Liu, PhD, University of Texas Health Science Center at Houston (UTHealth Houston)
- Yanqiu Wang, MD, Tongji University, China
Contact
Huanmei. Wu@temple. edu