METRO-IS
MEthods Training in Research for Optimizing Implementation Science (METRO-IS) Short Course REGISTERThis short course is geared toward implementation scientists who are interested in incorporating intervention optimization approaches into their research studies. Participants will learn how to apply fundamentals of optimization directly to their own research questions, through a combination of lessons, group discussions, and real-time feedback—all led by expert faculty from NYU.
- Learning Objectives //
- Course Format & Schedule //
- Instructors //
- FAQs //
Learning Objectives
Define the optimization paradigm and describe how to apply it in implementation science research.
Describe how the three phases of the Multiphase Optimization STrategy (MOST) can be used to develop and test implementation strategies.
Understand how to apply MOST to your own program of research.
Course Format and Schedule
METRO-IS will be held December 16-17, 2026, at the NYU Washington, DC campus—conveniently scheduled right after the Annual D&I Conference! We use a flipped classroom approach: after registering, you’ll receive access to online self-paced materials designed to prepare you for the 1.5-day intensive in-person learning experience.
December 16, 2:30-5 p.m.
Course overview and orientation
How do you “make the case” for optimization in an implementation science study
Conceptual models for optimization approaches in implementation science studies
December 17, 9 a.m.-5 p.m.
Core elements of an R01-type optimization/implementation science study
Generating preliminary data and building your study team
Selecting an appropriate experimental design
Outcomes and measurement
Aims pages
> The registration fee for this course is $1,250.
This includes access to all self-paced asynchronous content and the 1.5-day intensive on December 16-17. An afternoon coffee break on December 16, and breakfast, lunch, and an afternoon coffee break on December 17, will be provided.
Meet Your Instructors
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Kate Guastaferro, PhD MPH
Read BioDr. Guastaferro is an Assistant Professor at the NYU School of Global Public Health, where she also Co-Directs the Center for Advancement and Dissemination of Intervention Optimization. Dr. Guastaferro is an applied intervention scientist by training with methodological expertise in the intervention optimization paradigm. She has a number of hybrid-type implementation science studies funded by the NIH and serves as a consultant on over 15 NIH-funded studies using intervention optimization.
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Corrina Moucheraud, ScD MPH
Read BioDr. Moucheraud is an Associate Professor at the NYU School of Global Public Health, where she also Co-Directs the Global Center for Implementation Science. Additionally she co-Chairs the Implementation Science Committee for the HIV Prevention Trials Network (HPTN). She leads a number of implementation science studies including two cluster-randomized hybrid-type implementation science trials using the optimization paradigm.
Feedback from Previous Participants
Frequently Asked Questions
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Is this only for people affiliated with NYU?
No! We welcome participants from all institutions.
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What is the time commitment?
The self-paced material includes 4 modules of content (videos, readings, and worksheets); we estimate that completing these modules requires approximately 12-16 hours in total. The in-person intensive will meet for 4 hours on December 16th and 8 hours on December 17th, and there are associated readings and a homework for this portion that we estimate will take approximately 1-2 hours.
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I cannot make the in-person component. Can I still participate?
The in-person intensive is a critical component of this training. If you cannot attend, please email us to discuss alternative arrangements.