【論文募集8/15〆切】The 2nd International Workshop on AI-empowered Digital Health and Well-being Promotion (AI-DHWP 2026), November 9-13, 2026, Melbourne, Australia

[Ruichen Cong]

皆様

いつも大変お世話になっております。

早稲田大学の叢です。


The 2nd International Workshop on AI-empowered Digital Health and Well-being Promotion (AI-DHWP 2026)が開催されます。

投稿の締切は 8月15日（土）になります。

みなさまからのご投稿をお待ち申し上げております。


Webサイト: https://aidhwp.github.io/2026.html

投稿リンク: https://edas.info/N35527

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The 2nd International Workshop on AI-empowered Digital Health and Well-being Promotion (AI-DHWP 2026)
November 9-13, 2026, Melbourne, Australia
on The 11th IEEE Cyber Science and Technology Congress (CyberSciTech 2026)



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).