Objectives/Goals: Dissemination and implementation scientists often conflate or confuse pragmatic trials and effectiveness-implementation trial designs. This study evaluates the barriers and facilitators affecting these scientists’ collaborative work to design, plan for, and conduct these different kinds of trials. Methods/Study Population: This is a sequential mixed-methods study. For the quantitative evaluation secondary data collection and surveys of roughly 200 investigators constituting an Implementation Science Network were carried out to identify research needs and impacts associated with the Translational Science Benefits Model. Surveys were prepopulated with respondents’ grant awards and prompts to define the study designs being used. Interviews of respondents are being conducted to identify barriers and challenges they faced in conducting different implementation trials and to develop case studies of their resultant research agendas. A peer-reviewed interview protocol designed for Clinical and Translational Research Institutes to conduct case studies of translational research is being used for this qualitative evaluation. Results/Anticipated Results: The 182 ISN members submitted 1590 research proposals since 2020, 52% of which were funded. ISN members responding to surveys (N = 30) self-identified many of these studies as being Hybrid 3 (29%), Hybrid 1 (17%), or Pragmatic trials (7%), although the largest proportion included studies classified “other” (33%), and some could not be classified (12%). Surveys of ISN members also indicated that many want to conduct pragmatic trials (36%) or hybrid trials (8%) but need more opportunities to collaborate (19%). Twelve (40%) ISN members agreed to be interviewed and another 11 (37%) indicated that they would do so in fall 2024 if available. Initial findings suggest that regular interactions with colleagues helped investigators new to the field understand how varied study designs could advance their implementation science. Discussion/Significance of Impact: These findings will show how U-M implementation scientists collaborate to conduct implementation trials. If the kinds of barriers faced by investigators differs by trial type, research supports and initiatives can be tailored to better support all implementation scientists in the CTSA Consortium.