The National Academies of Sciences, Engineering, and Medicine will convene an ad hoc, diverse committee of approximately 12-15 scholars, practitioners, and other experts to evaluate the current state of the science of team science and multidisciplinary collaborations across different scales and environments. The committee will meet, conduct public workshops, review the literature, deliberate, and then publish a consensus report of its findings, conclusions, and recommendations. Included will be forward-looking research recommendations (research gaps and infrastructure needs) and suggested applications and/or best practices for a variety of settings and scales. Following publication, dissemination activities, such as a public-facing webinar should take place to promote the report.

The committee will consider reviewing and synthesizing information related to the following topics:

• The effectiveness, benefits, and potential pitfalls of virtual and hybrid approaches for team science. Are there models of collaboration outside of science that might inform best practices? What collaborative technologies are best suited for virtual and hybrid collaboration and how might these vary depending on the dimensions of team science, including the scale of the team, types of collaborators, degree of disciplinary integration, proximity of team members, permeability of team boundaries, disciplinary and form of research, and domains of research involved? What are best practices for working in the hybrid, virtual, and in-person work environment(s) and how might these vary depending on the dimensions of team science?
• Evidence-based approaches and training that have been designed to enhance the effectiveness of team science and identify any gaps in resources and guidance. What methods have been employed and who was the target audience? What types of outcomes, methods, and measures are appropriate for evaluating team science training? What are best practices for training and/or optimizing teams that include various types of non-scientist team members?
• Evidence of best practices in team science and how to enhance those efforts. What are the current team science best practices? What research is needed to further evaluate and enhance these practices?