【CFP (Submission Deadline: Aug. 15, 2026) 】The 2nd International Workshop on AI-empowered Digital Health and Well-being Promotion (AI-DHWP 2026), November 9-13, 2026, Melbourne, Australia

[Our apologies if you receive multiple copies of this CFP]

Dear Colleagues,

We are writing to invite you to submit your papers at
The 2nd International Workshop on AI-empowered Digital Health and
Well-being Promotion (AI-DHWP 2026), in conjunction with IEEE CyberSciTech
2026 scheduled on November 9-13, 2026, in Melbourne, Australia.

This workshop serves as a platform for sharing advances in AI-empowered and
human-centered approaches that apply to healthcare and human behavior.

We look forward to your submissions!

Website: https://aidhwp.github.io/2026.html

Submission Link: https://edas.info/N35527

INTRODUCTION
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With the spread of information technology in healthcare, there is growing
interest in using AI to support health management and well-being in daily
life. As more data become available from wearables, sensors, and online
platforms, new possibilities emerge for understanding health conditions,
human behaviors, and predicting health risks.

This workshop focuses on AI-empowered and human-centered approaches that
apply to healthcare. It aims to promote digital health technologies that
provide opportunities to support healthcare. We hope to bring together
researchers to explore how AI can contribute to health and well-being
promotion.


Important Dates
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- Paper Submission Due: Aug. 15, 2026
- Author Notification: Sep. 01, 2026
- Paper Registration: Sep. 24, 2026
- Camera-ready Submission Due: Oct. 01, 2026


Topics of interest include, but are not limited to:
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- Big Data Analytics in Health
- Causal Discovery and Inference in Health
- Multimodal Data Fusion in Health
- Health Analysis with Wearable Sensor & IoT Data
- Health Analysis with Social Media Data
- Biometric Analysis (gait, eye-tracking, falls, etc.)
- AI for Human Behavior Modeling
- AI for Aging and Gerontechnology
- AI for Digital Mental Health
- AI Agents for Digital Health
- Explainable AI for Digital Health
- Machine Learning and Deep Learning for Healthcare
- Data-Driven Smart Health Applications
- Human-AI Interaction for Health and Well-being Promotion
- Metaverse and Digital Twin for Healthcare
- Blockchain and Federated Learning for Digital Health
- Privacy Protection Concern in Digital Health
- Ethics, Security, and Fairness in Digital Health


Submission and Publication
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The submitted papers should be 4-6 pages long including figures and
references and prepared in IEEE CS Proceedings format.
We also welcome Position Statement Papers, which present novel ideas,
hypotheses, and emerging research directions in AI for digital health.

All submitted papers will be peer-reviewed by two or three experts in the
field based on originality, relevance, clarity, and technical quality.

Please follow the guideline in IEEE CyberSciTech 2026 Paper Submissions
Site to submit your work via EDAS (https://edas.info/N35527).

All accepted papers will be published in IEEE CPS Proceedings (IEEE-DL and
EI indexed).

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