Led by expert faculty - Dr. Linda Collins, Dr. Kate Guastaferro, and Dr. Kelly Rulison - this training is a discussion-based, synchronous course on intervention optimization that will be held online via Zoom using a “flipped classroom” approach. It is designed for intervention scientists who want to explore an innovative approach to intervention research and acquire the background and skills needed for a successful grant proposal involving MOST. Eligible applicants must hold a PhD, MD, or equivalent degree, and have completed graduate training in applied statistics through at least multiple regression. If accepted, participants will be required to complete accompanying asynchronous modules.
This course is aimed at intervention scientists working in any area—public health, education, criminal justice, and others—interested in learning about an innovative framework for conducting intervention research.
The course will show you how to use the Multiphase Optimization STrategy (MOST) to: streamline interventions by eliminating inactive components; identify the combination of components that offers the greatest effectiveness without exceeding a defined implementation budget; develop interventions for immediate scalability; look inside the “black box” to understand which intervention components work and which do not; and improve interventions programmatically over time. In this course you will relate the MOST framework to your research objectives; learn how MOST differs from the standard approach to intervention development and evaluation; learn how to complete the preparation and optimization phases of MOST; and become familiar with rigorous and highly efficient experimental designs that will enable you to examine the performance of individual intervention components. It will also cover practical issues, such as conducting an optimization trial in a field setting, and strategy for submitting a grant proposal to support intervention optimization.
This course will be held online using a “flipped classroom” combination synchronous/asynchronous approach. To prepare for each synchronous session, learners will be expected to have completed (i) asynchronous modules (currently hosted on Coursera) and (ii) an assignment applying what is learned to the learner’s own research. The assignment will be presented briefly and discussed in small breakout groups.
Completing the asynchronous modules in advance of their assigned training day is essential because very little time will be devoted to lectures during the synchronous sessions. Instead, during our time together we will focus on reinforcing what was learned in the asynchronous course by: addressing questions that arose during completion of the modules; discussing the material to relate the ideas to specific research agendas; conducting small group presentations/discussion of the assignments; and reviewing practical issues such as how to write a successful grant proposal related to intervention optimization.
The registration fee for this workshop is $750. If the cost poses a financial hardship, please complete the application and contact us directly at cadiotrainings@nyu.edu. Submit the brief application here and visit our website for more information.
