Workshop CFP: AI-Driven Digital Health Behaviour Change at Nation Scale

We invite submissions of Workshop Papers for the workshop “AI-Driven Digital Health Behaviour Change at Nation Scale“.

This workshop addresses a key challenge in digital public health: bridging the gap between promising AI-driven pilot projects and their large-scale, sustainable implementation. While many interventions show technical success, real-world adoption and long-term adherence remain limited. By focusing on scalable personalization architectures, evaluation frameworks, and implementation across diverse healthcare systems, the workshop aims to advance practical methods for translating innovation from pilot to population impact.

Click here for full information on the workshop.

!! Deadlines !!

Workshop Call for Papers (CFP) – Submission deadline 11 February 2026
Workshop Call for Papers (CFP) – Notification deadline 25 March 2026

Key themes


  • AI for hyper-personalization at nation scale
  • Ethical AI
  • Economic Validation and Outcome Attribution
  • Ecosystem Orchestration and Deployment Architecture
  • Health Equity Considerations
  • Impact – Case studies, success and unsuccessful implementations

Submission guidelines


We encourage the authors to submit an option full paper or extended abstract. The accepted paper/ abstract will be invited to an oral presentation session and will be included in the DPH 2026 proceedings – abstracts in Frontiers and full papers will be submitted for possible inclusion into IEEE Xplore.

For submitting a Full Paper, please follow the instructions:

  • All submissions must be original and not simultaneously submitted to another journal or conference.
  • The papers must range between 4‐8 pages, including references and any appendices.
  • Papers should conform to the IEEE double column format: https://www.ieee.org/conferences/publishing/templates.html
  • Papers must be anonymized: the names and affiliations removed, and any references to previous works either substituted with “anonymized” or rephrased.
  • All submissions must be submitted in PDF format using the Easychair submission system. Click on the submission button below and choose the “DPH 2026 Workshop – AI-Driven Digital Health Behaviour Change at Nation Scale” track.
  • Please paste your Abstract in the Abstract field in the Easychair system for ease of processing and review allocation.

For submitting an Extended Abstract, please follow the instructions:

  • Please format your submission using Times New Roman, 12 pt font size, and Justified alignment. The total length should not exceed 1000 words (including references), and you may include a maximum of two figures or tables.
  • Extended Abstracts could follow the standard structure: Aims/Abstract/Overview, Background, Methods, Results and Conclusions. Alternatively, computer science abstracts can follow a freerer headings structure.
  • All submissions must be submitted in PDF format using the Easychair submission system. Click on the submission button below and choose the “DPH 2026 Workshop – AI-Driven Digital Health Behaviour Change at Nation Scale” track.
  • Paste your first section (Aims/Abstract/Overview) to the Abstract field in the Easychair system for ease of processing and review allocation.

Contact


All questions about submissions should be emailed to:

SUBMISSION


Submission is via EasyChair.