Translational Science Model

Guiding Principles

Frontiers of Innovation’s Translational Science Model (TSM) for science-based innovation includes a core set of guiding principles. These concepts and approaches guide the work within the model and represent ways of working that make this approach unique in the field.

The following guiding principles are integral to the TSM:

  • Precision in program definition and measurement, which allows us to:
    • Identify who benefits most and least (Segmentation)
    • Develop strategies to address specific needs/issues within larger programs (Modularity)
  • Fast-Cycle Iteration: testing, learning, and refining rapidly
  • Co-Creation: bringing together expert knowledge from science, practice, systems, and community
  • Shared Learning across a network using common measures


Precision

Precision involves having a clear understanding of what a program entails, what it targets, and what the ultimate goals are. For example, a program might target family routines with the ultimate goal of reducing child behavior problems. Investigating the relationship between targets and outcomes helps us move beyond the question “does it work?” to “how does it work?” Precision also involves clarity about the person- and place-based factors that determine who the program is most (or least) helpful for. Precision in program development and testing then enables both segmentation and modularity.

Segmentation

Members of the team working on Learning Through Play discuss the principle of segmentation and how it is helping to guide their approach.

Through segmentation, we can systematically generate that precise knowledge about who benefits most (and least) and in what contexts, and more closely match programs with the needs of specific subgroups and contexts. Segmentation specifies salient characteristics of the individuals involved in the program beyond the usual variables such as race, family income, parent’s education level, or whether a program is home- or center-based. These additional characteristics—which might include factors like a child’s attention skills, a parent’s mental health status, or a teacher’s knowledge of child development—allow us to clearly identify for whom a program works—and for whom it doesn’t.

Modularity

Modularity is the degree to which the components of a program can be separated and re-combined. Modular programs can be implemented with ease in existing programs or service structures because teams can incorporate the specific components that make sense for their programs. This approach offers a practical and cost-effective pathway to targeted scaling. Understanding why different programs or their components are effective for different populations can help us identify a program’s “key ingredients,” which can then be incorporated, in suitable mixes, into broader service systems. This contrasts with the conventional approach, which involves implementing the full package of a program, without understanding the specific impacts of each component.

Fast-Cycle Iteration

Members of the team working on Attachment Vitamins discuss the principle of fast-cycle iteration and how it has strengthened the program.

Fast-cycle iteration is a process for quickly incorporating what we’ve learned back into the design of the program. In contrast to more traditional randomized control trials, which involve high numbers of participants over several years, project teams using TSM fast-cycle iteration start with a series of low-cost, relatively small-scale pilot tests that enable them to establish feasibility and begin to explore the program’s theory of change. Each fast-cycle iteration, which can take place over weeks or a few months, is an opportunity to make refinements to the program based on what is and isn’t working, and to move toward higher levels of evidence at a faster pace.

Co-Creation

Members of the team working on FIND discuss the principle of co-creation and how it has influenced the program.

Co-creation refers to bringing together different parties to produce a mutually valued outcome. The FOI approach to innovation brings together researchers, practitioners, and community members in order to develop, implement, test, and adapt ideas. This process increases the likelihood that the programs will meet communities’ unmet challenges, are relevant to real-world contexts, and can be scaled.

Shared Learning

The principle of shared learning is also critical in the TSM. The FOI network is a community of innovation, with opportunities for multidisciplinary learning across programs and sites. To help facilitate this cross-project learning, TSM-engaged projects use common measures and share de-identified data from each program trial with a centralized data repository, allowing for greater aggregation across multiple programs and contexts. Finally, learning from failure as well as success, and sharing this learning with a committed and multidisciplinary community, is an essential and valued part of the work.

RELATED: Learn about the components of the model.

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