This is a synchronous course that will be held on Zoom using a “flipped classroom” approach. Attendees are required to complete the Coursera course alongside the workshop.

Please be sure you carefully review our FAQs and the content on this page before applying.

This is a 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) the asynchronous Coursera course “The Multiphase Optimization Strategy (MOST) from a Conceptual Perspective” 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 Coursera 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 Coursera course by: addressing questions that arose during completion of the Coursera 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.

Prerequisites:

A PhD, MD, or equivalent degree, and graduate training in applied statistics at least through multiple regression.

Learners will need to set aside additional time to complete the Coursera course and the assignments. Please note that this is a discussion-based, and not didactic-style, training.

If accepted, you’ll be required to complete the corresponding Coursera modules in advance of their assigned synchronous training day.

Training Faculty:

  • Linda M. Collins, Ph.D., New York University
  • Kate Guastaferro, Ph.D., New York University
  • Kelly Rulison, Ph.D., Associate Faculty

Synchronous Session Dates:

  • Friday, September 12th
  • Friday, September 19th
  • Friday, September 26th
  • Friday, October 3rd

1 pm-4 pm ET each day.

Participants will also be assigned to a discussion group:

  • Morning Group (10am – 11:50am) held on Friday, September 19th and Friday, October 3rd, OR
  • Afternoon Group (2pm – 3:50pm) held on Thursday, September 18th and Thursday, October 2nd.

Applicants can indicate their preference for the morning or afternoon group, but we cannot guarantee we can meet your preference.

Registration Fee: 

This training is funded in part by a NIDA R25 grant (R25DA049699). To help offset the remaining expenses, there is a registration fee of $750* per participant.

*If you’d like to attend the training but it would cause a financial hardship, please complete the application and contact us immediately after submitting it. We cannot guarantee consideration of requests received after the application deadline.

Important Dates:

  • Friday, June 6th, 2025: Applications go live
  • Friday, July 11th, 2025: Applications due by 4pm ET
  • Friday, July 18th, 2025: Notification of acceptance
  • Friday, August 1st, 2025: Deadline to complete registration

Contact Details:
cadiotrainings@nyu.edu

Ready to get started?

Applications are due by July 11th

The MOST training gave me a whole new way of thinking about how I design and optimize behavioral interventions for families of young children with cancer. The faculty instructors were knowledgeable, kind, and enthusiastic, and made the information accessible and practical. I am so glad I attended and would recommend it to other behavioral scientists!

Emily Moscato, January 2024 Training Participant

This training was incredibly helpful! I’m currently writing a grant proposal and this training provided me with additional knowledge and feedback that was essential to moving the proposal along. The instructors are fabulous and you get lots of opportunities to ask questions and get personalized feedback!

January 2024 Training Participant

This training should be required if you’re considering applying MOST to your research! The instructors are incredibly knowledgeable, highly approachable, and very generous with their time. It was also a fantastic opportunity to meet and connect with like-minded individuals across the country.

January 2024 Training Participant

The training is extremely helpful, and really has served as a catalyst for my ORCT journey. MOST provides a new way of thinking and I believe it truly increases our chances for conducting impactful intervention research that translates to real-world change.

Nakita Lovelady, May 2024 Training Participant