Objectives/Goals: This work identifies ordinary and novel ingredients of a recipe for a learning community created by translational scientists to support their mutual interests in broadly engaged team science. The goal of creating this recipe is to share our findings, enabling the replication of this work at other CTSAs. Methods/Study Population: Inspired by O’Brien et al. (2025), our MICHR CoLab+ learning community (N = 8) is cooking up a “community recipe” for collaborative learning. Our multidisciplinary mix includes members from six MICHR teams. In our first guided session, we blended open dialog and reflection to identify key ingredients and tools, including metaphors for our team’s strengths, values, and goals. Using Teams, Miro, and generative AI, we captured early insights to refine over time. Results/Anticipated Results: By co-creating a community recipe, members of the MICHR CoLab+ deepen their understanding of shared strengths, values, and purpose. The recipe showcases what makes our community unique while fostering unity and belonging. Once complete, it will help us overcome barriers, accelerate discovery, and deliver real-world impact in translational science. Discussion/Significance of Impact: This work extends research helping translational scientists cross boundaries in universities. Building on work on learning communities for learning health systems (Ferguson, et al., 2024; Wenger, 1998), it shows how co-created “recipes” foster collaboration across disciplines, institutions, and cultures to strengthen translational science.
Helegda et al. (2026) studied this question.