502 Advancing impact through partnership: A community advisory board to amplify translational reach of electric bicycle injury research

Objectives/Goals: The objective of this study is to assemble a community advisory board (CAB) of interdisciplinary stakeholders to contextualize study results and co-create translational materials that can be used by local governments, community leaders, and community-based organizations to prevent electric bicycle (ebike) injuries. Methods/Study Population: This study merges community-engaged research and data science approaches. We are assembling an interdisciplinary CAB who are key stakeholders in informing ebike safety outside of the scientific research community. The CAB will advise on a retrospective observational data science study currently in progress that uses a California wide dataset to examine how features of neighborhoods and intersections impact ebike injuries. The CAB will provide context for study results based on their professional experiences and co-design translational materials (e.g., policy brief) that convey research findings for effective translation into policies and practices to prevent ebike injuries. We will track data on CAB activities, perceptions of participation from members, dissemination and reach of translational materials. Results/Anticipated Results: We assembled a CAB of five individuals who are policymakers, local government officials, first responders, school board members, and non-profit workers. We will report data on the frequency of meetings, themes emerging from each meeting based on discussions with CAB members, and perceptions of the experience by CAB members. We will also report on the type and content of the translational products created, the process dissemination of these translational materials, and the reach of the translational materials. Discussion/Significance of Impact: The translational aspect of this project is significant for disseminating findings to communities outside of the research realm who can implement changes that improve ebike safety. Our goal is to shorten the time for research to be translated into policies and interventions by leveraging community-engaged research and data science approaches.