International Workshop on AI + Frontiers in Social Medicine: Public Policy and Health Management (AI-SM-PPHM 2026)

Jul. 8-10, 2026 - Waseda Univeristy, Tokyo, Japan

in conjunction with International Conference on Artificial Intelligence for Health and Education (ICAIHE 2026)

About this Workshop

This Workshop focuses on the frontier integration of Artificial Intelligence (AI) and Social Medicine within Public Policy and Health Management, aiming to move AI from an “algorithm-performance” orientation toward an evidence-based, governance-ready, and implementation-feasible paradigm. With the rapid convergence of multi-source data infrastructures—such as electronic health records (EHRs), insurance claims and payment data, public health surveillance systems, wearables, and school/campus health data—AI is increasingly positioned to support risk identification, resource allocation, continuity of care, and performance management. However, its real-world value hinges on whether it can be made explainable (Explainable AI, XAI), equity-sensitive (fairness), compliant with privacy and data governance requirements, accountable, and operationally implementable within complex service systems.

The Workshop emphasizes two complementary problem domains spanning population health and health system management. First, it addresses school population health and campus health governance, including early warning for student mental health risks, infectious disease preparedness, health promotion, and digital health literacy. Second, it targets lifecycle-oriented governance for older adults and children. We welcome contributions leveraging causal inference, quasi-experimental designs, multimodal data fusion, and policy simulation/decision modeling to generate reproducible, transferable policy instruments and management strategies.

Submission Site

Topics of interest include, but are not limited to:

Paper Submission & Publication

Prospective authors are invited to submit original papers reporting on research results, experimentations or novel applications related to the workshop topics. Submitted papers must be in pdf format, and according to the Springer LNCS Authors Guidelines: Information for Authors.


Formats for the submissions are either



including main content and references. Extra pages will pay an additional cost. All submitted papers will be peer-reviewed by two or three experts in the field based on originality, relevance, clarity, and technical quality. The review process will follow a single-blind format, and accepted papers will be selected based on reviewers’ feedback and overall contribution to the workshop themes. Paper submission system is available at: Submission Site. Authors should submit through the main conference system and select the specific track name: “Workshop-AI-SM-PPHM 2026". All accepted papers, presented at the workshop by a registered author, will be published in the Springer CCIS series alongside the main conference proceedings.

Important Dates

All deadlines are in the Anywhere on Earth timezone.


Organizers

Workshop Chair


Mingfeng Jiang

Zhejiang Sci-Tech University, China


Workshop Co-Chair


Siyu Zhou

Hangzhou Normal University, China


Program Chairs


Yuhui Ma

Zhejiang Sci-Tech University, China

Yinghan Xu

Waseda Univeristy, Japan


Advisory Chair


Atsushi Ogihara

Waseda Univeristy, Japan


Program Committee Member


Jinyan Yang

Columbia University, USA

Meng Zhang

Hangzhou Normal University, China

Fanlei Kong

Shandong Univeristy, China

Mi Xiang

Shanghai Jiaotong University, China

Feiwei Shen

Hangzhou Normal University, China

Mingxin Liu

The University of Tokyo, Japan

Yifan Zhu

Hangzhou Normal University, China

Chenjie Xu

Hangzhou Normal University, China

Contact us: Dr. Siyu Zhou (siyuzhou@hznu.edu.cn)