AI-Driven Digital Health Behaviour Change at Nation Scale

Digital Population Health Conference 2026

Overview

Digital health stands at a critical crossroads. While AI capabilities have advanced exponentially, most population health interventions remain trapped in deterministic, rule-based approaches that consistently fail to achieve sustained engagement or population-scale impact. This workshop examines the transition to validated nation-scale deployments, bringing together researchers, practitioners, and industry leaders to address three persistent barriers: the adherence gap, economic misalignment, and the deployment-scale paradox.

Workshop Format

Peer-reviewed paper presentations
Expert panel discussion featuring leaders from government health agencies, integrated delivery systems, technology infrastructure providers, clinical standards organizations, and investment strategists
Interactive poster sessions

Call for Papers

We invite submissions of original research, case studies, and position papers addressing the challenges and opportunities in deploying AI-driven behavioral health interventions at population scale

Topics of Interest

Technical Approaches & Methodologies

Graph Neural Networks and knowledge representation for personalized health interventions
Large Language Models (LLMs) for conversational health coaching
Adaptive algorithms learning individual behavioral patterns and preferences
Multi-program orchestration across comorbidities Real-time personalization architectures
Cold start strategies for new users and health programs

Implementation & Deployment

Transition pathways from pilot studies to population-scale implementation
Integration with clinical workflows and electronic health records
Data sovereignty and privacy-preserving architectures
Cloud-scale infrastructure for national deployments
Interoperability standards and ecosystem integration
Regulatory compliance across diverse healthcare contexts

Economic Models & Validation

ROI measurement frameworks within annual budget cycles
Outcome attribution methodologies for behavior change interventions
Value-based care alignment and sustainable financing models
Cost-effectiveness analysis for prevention strategies
Addressing temporal misalignment between investments and benefit realization

Behavioral Science & Engagement

Digital nudging strategies grounded in behavioral economics
Sustained engagement approaches addressing long-term adherence
Personalization across diverse populations and cultural contexts
Behavioral phenotyping and segmentation strategies
Intervention timing and delivery channel optimization

Health Equity & Ethics

Algorithmic fairness in health behavior change systems
Digital divide considerations and accessibility
Equity-centered design and implementation frameworks
Bias detection and mitigation in personalized interventions
Vulnerable population considerations

Real-World Evidence & Case Studies

Validated deployments demonstrating measurable population health outcomes
Government-led national health initiatives
Health system implementations and lessons learned
Cross-national comparative analyzes
Failure analyzes and implementation barriers

Submission Guidelines

Paper Categories

Full Research Papers (6-8 pages)

Original research with rigorous methodology
Empirical studies with quantitative or qualitative results
System architectures with deployment evidence

Short Papers (4 pages)

Work-in-progress research
Position papers and perspectives
Case studies and implementation reports

Extended Abstracts for Posters (2 pages)

Preliminary findings
Demonstration systems
Dataset descriptions

Format Requirements

Submissions must use the ACM Conference Proceedings Template
Download template here
All submissions must be in PDF format
Papers must be anonymized for double-blind review
References do not count toward page limits

Submission Process

Prepare your paper according to the guidelines above
Submit via EasyChair
Select track: “AI-Driven Digital Health Behaviour Change at Nation Scale”

At least one author of each accepted paper must register for DPH 2025 and present the work.

Important Dates

Event	Date
Paper Submission Deadline	February 11, 2026
Author Notification	March 25, 2026
Camera-Ready Deadline	May 7, 2026
Workshop Date	June 24-26, 2026

All deadlines are 11:59 PM AoE (Anywhere on Earth)

Review Process

All submissions will undergo rigorous double-blind peer review by at least three members of our program committee, comprising experts in AI, digital health, behavioral science, implementation science, and health systems.

Accepted papers will be presented during the workshop and may be considered for publication in an extended journal special issue (details to be announced).