Center for Advancement and Dissemination of Intervention Optimization (CADIO)

Director: Dr. Linda M. Collins
Co-Director: Dr. Kate Guastaferro
Associate Director: Dr. Jillian C. Strayhorn
Chair of Early Career Faculty Outreach: Dr. Jennifer Cantrell

Dr. Linda M. Collins established the Center for Advancement and Dissemination of Intervention Optimization (CADIO) within the School of Global Public Health in 2021. CADIO champions the science of intervention optimization to engineer solutions for enhanced public health impact. Intervention optimization is an emerging scientific field. In this field, ideas from behavioral science, engineering, public health, quantitative and qualitative methods, economics, and decision science are integrated to produce innovative approaches for empirical development and optimization of interventions. All types of interventions can be optimized, including behavioral, biobehavioral, biomedical, social-structural, and educational interventions.

Intervention optimization is the process of arriving at intervention EASE, a strategic balance of Effectiveness, Affordability, Scalability, and Efficiency. Intervention EASE is usually achieved via an approach called the Multiphase Optimization STrategy (MOST).

The goals of CADIO are to:

  • Promote and support the optimization of all types of interventions.
  • Establish a community of scholars interested in the science and application of intervention optimization.
  • Extend and enhance intervention optimization methods.
  • Disseminate and provide training in current intervention optimization methods.

The CADIO website features a list of affiliated faculty, online training modules, and various tools and resources. With the support of a grant from the National Institutes of Health, CADIO continues to create online materials and offer synchronous virtual workshops to train investigators in intervention optimization via MOST. CADIO is committed to supporting faculty in the preparation of successful grant proposals to conduct intervention optimization research, and increasing the capacity of scientists working in this field

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