皆様
お世話になっております。
早稲田大学の叢です。
重複してお受け取りの際はご容赦ください。
*2026年7月8日-10日に東京で開催予定の国際会議についてご案内させていただきます。*
*論文投稿の締切は 3月1日(日)となっております。また、WorkshopおよびSpecial Sessionの提案を募集しております。締切は
2月28日(日)に延長されました。*
みなさまからのご投稿とご提案をお待ち申し上げております。
--------------------------
*2026 International Conference on Artificial Intelligence for Health and
Education (ICAIHE 2026) July 8-10, 2026, Tokyo, Japan*
https://icaihe.org
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INTRODUCTION
---------------
With the spread of digital technology in healthcare and education, there is
a growing interest in using artificial intelligence (AI) to promote human
well-being in the extensive areas of health and learning. As more data
becomes available from IoT, wearable devices, sensors, social media and
many other online platforms, new possibilities emerge for understanding and
revolutionizing digital health and learning.
ICAIHE 2026 focuses on AI-enhanced and data-driven approaches to health and
education. It aims to leverage advanced AI technology to provide new
opportunities in the healthcare and education sectors. This conference is
committed to bringing together researchers to explore how these
cutting-edge AI technologies can optimize personal health and learning
environments, and to demonstrate how these emerging technologies can drive
transformative practices that promote human well-being.
IMPORTANT DATES
---------------
*Workshop/SS Proposal Due:* *February 28, 2026 (Extended)*
*Regular Paper Due: March 1, 2026*
Workshop/SS Paper Due: March 8, 2026
Author Notification: May 1, 2026
Paper Registration Due: May 15, 2026
Camera-ready Submission Due: May 22, 2026
SCOPE AND TRACKSs
---------------
Prospective authors are invited to submit papers on topics including, but
not limited to:
Track 1: Emerging AI Technologies for Health and Education
• Generative AI and LLM
• Agentic AI and AI Agents
• Explainable AI
• Multimodal AI Models
• Small Smart AI Models
• Knowledge Graphs
• Privacy Protection, Security, and Ethics in Emerging AI Applications
Track 2: AI-Enhanced Healthcare and Medical Services
• AI-Enhanced Big Data Analytics in Healthcare and Medical Services
• Multimodal Data Fusion in Digital Health
• AI-Enhanced Biometric Analysis in Digital Health
• Machine Learning and Deep Learning for Healthcare and Medical Services
• AI-Enhanced Precision Healthcare
• Metaverse and Digital Twin for Healthcare and Medical Services
• Human-AI Interaction in Digital Health and Well-being Promotion
Track 3: AI-Enhanced Education and Learning
• LLM-Enhanced Educational Content Generation
• LLM-Enhanced Personalized Learning
• LLM-Enhanced Automated Learning Feedback and Assessment
• AI-Enhanced Collaborative Learning
• AI-Enhanced Learning Analytics
• AI-Enhanced VR/AR/Metaverse for Immersive Learning
• AI Agents for Learning Management Systems
ICAIHE 2026 CALLS
---------------
Prospective authors are invited to submit original papers. Formats for the
submissions are either
- Full Paper: 12-15 pages
- Short Paper: 6-11 pages
- Work-in-Progress Paper: 6-7 pages
SUBMISSIONS AND PUBLICATIONS
---------------
*All accepted papers will be published in Springer CCIS series. *Selected
high quality papers will be recommended for possible publications on
journal special issues.
For further details, please refer to https://icaihe.org/sub.html
Submission Link: https://cmt3.research.microsoft.com/ICAIHE2026
皆様、お茶の水女子大学の伊藤貴之と申します。
(複数のメーリングリストに同時に投稿することをお許しください。)
情報系の可視化のトップ国際会議IEEE VISでは論文を募集しています。
(メールの末尾にCFPを転載します。)
開催地はボストンで、日程は11月9〜13日です。
アブストラクト提出期限が3月21日、論文提出期限が3月31日です。
日本からも可視化の論文の投稿が増えることを期待しています。
関連する分野に従事する皆様のご投稿をお待ちしています。
今年からIEEE VISのエリアプログラム委員長(System & Rendering)を担当しています。
ご質問がございましたらお知らせ頂ければと思います。
Takayuki Itoh (伊藤貴之) (itot(a)is.ocha.ac.jp)
Dept. of Humanity Data Engineering / Dept. of Information Sciences,
Director of Center for AI and Data Science, Ochanomizu University
http://itolab.is.ocha.ac.jp/~itot/
ーーーーー(ここからCFP)ーーーーー
Papers - Call For Participation
https://ieeevis.org/year/2026/info/call-participation/call-for-participatio…
IEEE VIS 2026 solicits novel research contributions and innovative applications in all areas of visualization.
Area 1: Theoretical & Empirical
Theoretical and empirical research topics that aim to define the foundation of VIS as a scientific subject.
https://ieeevis.org/year/2026/info/call-participation/area-model/#area-1-th…
Area 2: Applications
All forms of application-focused research.
https://ieeevis.org/year/2026/info/call-participation/area-model/#area-2-ap…
Area 3: Systems & Rendering
Building systems, algorithms for rendering, and alternate input and output modalities.
https://ieeevis.org/year/2026/info/call-participation/area-model/#area-3-sy…
Area 4: Representations & Interaction
The design of visual representations and interaction techniques for different types of data, users, and visualization tasks.
https://ieeevis.org/year/2026/info/call-participation/area-model/#area-4-re…
Area 5: Data Transformations
The algorithms and techniques that transform data from one form to another to enable effective and efficient visual mapping as required by the intended visual representations.
https://ieeevis.org/year/2026/info/call-participation/area-model/#area-5-da…
Area 6: Analytics & Decisions
The design and optimization of integrated workflows for visual data analysis, knowledge discovery, decision support, machine learning, and other data intelligence tasks.
https://ieeevis.org/year/2026/info/call-participation/area-model/#area-6-an…
Publication Venue
Full papers accepted to IEEE VIS will appear in a special issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG) and will be indexed in IEEE Xplore. Plan S has provided verbal approval of IEEE’s hybrid journal portfolio, including TVCG, for transformative status, allowing TVCG to accept articles from authors whose funders require Plan S compliance.
Important Dates
All deadlines are at 11:59pm (23:59) Anywhere on Earth (AoE).
Date
Abstract submission (MANDATORY) March 21, 2026
Paper submission March 31, 2026
Supplemental material submission April 7, 2026
Notification of results of first review cycle June 6, 2026
Paper submission for second review cycle July 1, 2026
Final notification July 15, 2026
Camera-ready copy August 8, 2026
Submission Guidelines and Reviewing Criteria
As the leading academic event on visualization research, IEEE VIS expects important, impactful, and potentially transformative contributions. Submissions will be judged on their scientific quality and novelty, potential impact, degree to which the evidence supports the findings, appropriateness of methodology, and the research process followed. After the initial notification of review results, selected papers are only conditionally accepted and will undergo a full revision and review cycle: only papers that improve according to the required changes will be accepted after the second round review.
IEEE VIS 2026 also features a separate short papers track. You can find more information in the call for participation for short papers.
https://ieeevis.org/year/2026/info/call-participation/shortpapers/
When preparing your submission, please make sure that you carefully read and adhere to the paper submission guidelines.
https://ieeevis.org/year/2026/info/call-participation/paper-submission-guid…
Reviewers should be familiar with the guidelines for reviewing papers for VIS.
https://ieeevis.org/year/2026/info/call-participation/review-instructions/
Accessibility
We highly recommend screen-reader-accessible final submissions. Please see the VIS Accessibility Guide to learn how you can make your contribution accessible.
https://ieeevis.org/year/2026/info/call-participation/make-pdf-accessible
Open Access Policy
Visualization research is best communicated and acted on if it is freely accessible to the research community, practitioners, and the general public. Therefore, all paper authors are encouraged to share their accepted paper in an open-access repository in accordance with IEEE copyright regulations. We also recommend that authors include sufficient supplemental materials with their submission so that their work can be easily scrutinized and used or extended by future researchers and practitioners. For instructions on how to post an accepted paper to an open-access repository and recommendations on sharing supplemental materials, please see the VIS Open Practices Guidelines. In addition, funding agencies and research organizations may have specific rules concerning Plan S compliance: impacted authors should check and comply with their respective organizational rules.
https://ieeevis.org/year/2026/info/open-practices/open-practices/
Email: opc(a)ieeevis.org
Submit your work!