Computational and Physical Modeling to Understand Form–Function Relationships

Abstract

Synopsis The morphology-performance-fitness paradigm has long been a guiding principle inspiring a great deal of laboratory and field studies fundamental to understanding functional-morphology relationships across the tree of life. Despite the power of experimental approaches, they also come with inherent limitations associated with equipment and animal costs, as well as ethical considerations for the types of manipulations that can be implemented. Modeling can provide an opportunity to surmount some of these challenges by offering greater flexibility in manipulating variables and exploring a wider parameter space than is tractable during animal experimentation. However, effective implementation of these tools requires careful consideration of the limitations and benefits they convey, requiring both greater interdisciplinary training from early stages of educational development and increased collaboration and synergies among scientists from traditionally separate disciplines. With institutions increasingly recognizing the need for and investing in providing universal access to computational and rapid prototyping resources, we believe that it is an opportune moment to prioritize greater synergy to accelerate discovery and innovation across fields.