Intervention Optimization: Science and Practice, Present and Future
- Roybal Coordinating Center

- 4 days ago
- 1 min read
The first-ever conference on intervention optimization will take place May 18-20, 2026 in Bethesda, MD. This in-person event will bring together a diverse group of scholars to discuss intervention optimization, including the Multiphase Optimization Strategy (MOST), and to spark new collaboration across methods and application areas.
The Agenda Will Feature:
The science of intervention optimization, including MOST and related frameworks
New experimental designs and associated methods
All varieties of interventions, including adaptive interventions, just-in-time adaptive interventions (JITAIs), and other intervention types
Implementation science
Decision-making to identify the optimized intervention
And more, including ample networking opportunities!
Who Should Attend
Investigators and practitioners across health, education, and social/behavioral sciences; statisticians, biostatisticians, and other methodologists; trainees; implementation partners; funders; and anyone who wants to learn more about this exciting field. Those with backgrounds in intervention optimization and MOST, and newcomers to the field are welcomed.
Submit an Abstract
Late-breaking work across the science and practice of intervention optimization are welcomed, including (but not limited to):
Multiphase Optimization Strategy (MOST) and related frameworks
SMARTs, micro-randomized trials (MRTs), and other experimental designs for optimization
Adaptive interventions and just-in-time adaptive interventions (JITAIs)
Methodological advances, analytics, and implementation considerations
Applied intervention optimization case studies and translational work
Topical Relevance: Posters must be directly relevant to intervention optimization. Submissions that do not clearly address intervention optimization will not be considered.
Scientific Rigor: Reviewers will assess the quality of the work, including the appropriateness of methods and clarity of analysis. This will be rated on a scale of 1-5.
