CFP: AAAI'25 1st workshop on Knowledge Graphs for Health Equity, Justice, and Social Services

[Yuzhou Chen]

We are glad to announce that we are organizing the 1st workshop on Knowledge Graphs for Health Equity, Justice, and Social Services at AAAI 2025. If you are interested, we sincerely invite you to share your project with us and the broader community via submitting paper contributions (including long, short, and demo papers) to our workshop.

Workshop Website: https://sites.google.com/view/kg4hejss/home

Introduction

Knowledge graphs (KGs) are prevalent in many real-world diverse applications across science and industry including search engines, recommendation systems, natural language processing (NLP), healthcare and life sciences, social networks, smart cities, education, and more. In recent years, KG construction and learning have grown into an established sub-field of AI and foundation models (FMs), i.e., researchers have been focusing on developing novel ontology design and entity identification, reasoning/embedding algorithms, and query answering. On the other hand, with the rising awareness that health equity and social justice are important, there are several challenges that public health professionals face. These include widespread inequities, structural racism and discrimination, geographic disparities, substance use and social inequities, etc. Additionally, learning algorithms and systems have exposed vulnerabilities, e.g., bias in AI systems is a critical issue that affects fairness, equality, and trust and leads to unfair outcomes; data problems (e.g., curation of training data) significantly impact the performance, fairness, and reliability of FMs. In order to promote health equity, advance justice, and dismantle barriers to personalized servicesto society, especially marginalized communities, it has become critical that the communities related to AI, FMs, KGs, and social science join their forces in order to develop more high-quality data and effective algorithms and applications. Our workshop aims to provide an opportunity for scientific researchers, field practitioners, government agencies, legal services, and industrial partners to be at the forefront of this transformative initiative. This workshop will bring together experts from diverse fields, including but not limited to AI, FMs, KGs, social work, public health, justice, and health services research, to create a dynamic platform for brainstorming, collaboration, and action. 

Important Dates

• Workshop paper submission deadline: November 20th, 2024 (AOE).
• Notification to authors: December 9th, 2024 (AOE).
• Date of workshop: March 3rd or 4th, 2025.

Topics

Topics of interest include, but are not limited to:

• KG and AI applications in advancing health equity and social justice
• KG with Social Determinants of Health (SDOH): Mapping, Visualization, and integrating SDOH data  
• Knowledge graph construction and retrieval to uncover health and service disparities
• Predictive modeling and machine learning using knowledge reasoning, extraction, and integration
• Ethical considerations and biases in AI, FMs, and KG Applications
• Successful implementations, case studies, and initiatives that integrated KGs and AI for health and justice
• Technical, ethical, and logistical challenges in applying KGs, AI, and FMs to social science 
• Designing interventions and policies based on KG and AI insights
• Knowledge graph enhanced large language models (LLMs) and retrieval-augmented generation (RAG) and their applications in social science
• Relational and graph based reasoning and multimodal learning with knowledge graphs

Submission

We welcome contributions of long (7 pages), short (4 pages), and demo (4 pages) papers related to our stated vision in the AAAI 2025 proceedings format. All contributions will be peer reviewed (double-blind). Please submit your paper via OpenReview site: https://openreview.net/group?id=AAAI.org/2025/Workshop/KG4HEJSS#tab-your-consoles.

Publication and Attendance

All accepted papers will be given the opportunity to be presented in the workshop. The accepted papers will be posted on the workshop’s website. These non-archival papers and their corresponding posters will remain available on this website after the workshop. The authors will retain copyright of their papers. Virtual and Remote Attendance will be available to everyone who has registered for the workshops. The workshop will be held in Philadelphia, Pennsylvania at the Pennsylvania Convention Center on March 4, 2025. 

Registration

All attendees need to register for the workshop. Please check more details about AAAI 2025 workshop registration: https://aaai.org/conference/aaai/aaai-25/registration/.

Please contact kg4hejss...@gmail.com with any further questions.

Chairs and Organizers

Yuzhou Chen, University of California, Riverside

Huanmei Wu, Temple University

Jiaqi Gong, The University of Alabama

Omar Martinez, University of Central Florida