CFP: The 1st International Workshop on AI-empowered Digital Health and Well-being Promotion (AI-DHWP) at IEEE CyberSciTech 2025

[Ruichen Cong]

PRO研究会の皆様

お世話になっております。

早稲田大学の叢です。

IEEE CyberSciTech 2025併設ワークショップ「AI-DHWP」が開催されます。

論文募集の詳細をお送りいたします。

論文投稿の締切は 6月27日（金）となっております。

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/

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The 1st International Workshop on AI-empowered Digital Health and Well-being Promotion (AI-DHWP)

October 21-24, 2025 - Hakodate City, Hokkaido, Japan

on The 10th IEEE Cyber Science and Technology Congress (IEEE CyberSciTech 2025)

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: 2025-06-27

・Author Notification: 2025-08-11

・Camera-ready Submission Due: 2025-09-12

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 (2-4 pages), 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 2025 Paper Submissions Site to submit your work via EDAS (https://edas.info/N33760).

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