Background/Motivation
Team science is becoming more common as funders are increasingly supporting and encouraging translational and convergent science that addresses complex challenges. Translational and convergent science aim to integrate different disciplines to create new paradigms and solutions to translate science into practice and impact the world. The field, the Science of Team Science (SciTS) has developed frameworks, theories, and principles, such as team science competencies, authorship credit taxonomies, and the translational science benefits model, all in the endeavor to support and assess more greater complexity in scientific teams. Despite the increasing need for scientists to work across disciplines, the disciplinary focus of training programs tends towards training scientists in ever more specialized methods. These specialized approaches are often enacted in teams as tacit knowledge, rather than formally defined and discussed methodological approaches.

Gap
Prior work in the science of science and team science has put forth several frameworks for transdisciplinary research, yet scientists often do not have a common one from which to guide their collaborative inquiry.

Approach
Through the creation of a workshop to help scientists from disparate fields think transdisciplinarily (beyond any one discipline), the authors realized the need for a cross-disciplinary scientific method. Integrating our own experience as scientists, experiences working with teams of scientists, prior literature, funders, conferences, and seminars, we present the knowledge creation framework with a double loop for discovery and translation. This includes 11 connected components: context, people, impact, question, knowledge goal, approach, evaluation, findings, research products, interestingness, and action/application/use. We explain the importance and placement of each step of the framework situated in prior work. We further argue that existing tools and frameworks map onto this new scientific method, present new ones to help researchers think transdisciplinarily, and suggest future needed ones. Lastly, we present 2 case studies of the workshop that used this new framework and tools to help scientists think transdisciplinarily through their research questions.

Results
Overall, prior work seems to support our knowledge creation framework. Further, our case studies support that these frameworks and tools can help researchers from different disciplines think and work together more effectively to achieve convergent and translational science.

Conclusion/Impact
Our goal is to make cross-disciplinary translational and convergent science more effective through making the discovery and translational loops of science transparent and accessible. By doing so, we hope translational and convergent science can be more easily measurable and efficient to help scientists of all stages and disciplines work together to solve the world's complex problems