Objectives/Goals: The team science professional digital badge initiative aims to build a high-quality, expert-reviewed collection of team science education and training resources that are aligned with key clinical and translational science competencies and integrated with a microcredential from the Association for Clinical and Translational Sciences (CTS). Methods/Study Population: We are initiating a structured process to solicit TS education and training resources from diverse stakeholders in the fields of Team Science (TS), Interdisciplinary Collaboration, and CTS. Using the Team Science Toolkitting Model, resources will be reviewed for alignment with the five domains of CTS competencies (facilitating team affect, communication, research management, collaborative problem-solving, and leadership). The ITD Alliance toolkit inventory will serve as a model for comprehensive coverage and interoperability. Approaches to remove roadblocks to knowledge integration will be prioritized, including epistemic inclusivity, boundary spanning, and shared mental models, for resource selection and peer review. Results/Anticipated Results: We anticipate assembling a curated collection of resources spanning all CTS competency domains, with explicit mapping to individual and team competencies. Peer review of resources will ensure quality, relevance, and adaptability for digital badge requirements. By linking these resources to a digital badge credential, learners will be able to demonstrate applied skills in interdisciplinary collaboration. The process aims to reinforce best practices for curation of team science education and training, maintenance, and scholarship and develop strategies for overcoming conceptual and methodological barriers to knowledge integration in translational teams. Results will be reported at the conference. Discussion/Significance of Impact: This ongoing project will advance team science education through competency-based training, cross-disciplinary collaboration, and integrated knowledge. It will develop a training resource collection and showcase a reproducible model for strengthening the field and profession of team science.
Building similarity graph...
Analyzing shared references across papers
Loading...
Billings et al. (Wed,) studied this question.
synapsesocial.com/papers/69fed140b9154b0b828786f2 — DOI: https://doi.org/10.1017/cts.2026.10380
Heather Billings
Diana Lee-Chavarria
Whitney Sweeney
Journal of Clinical and Translational Science
University of Wisconsin–Madison
Medical University of South Carolina
WinnMed
Building similarity graph...
Analyzing shared references across papers
Loading...