Developing Convergence Neuroscience as a Model
This chapter on developing convergence neuroscience as a model examines the systems required to build and support a convergence oriented workforce. The future of the biomedical and life science innovation depends on its ability to integrate and cross-collaborate with other data-hungry and fast-progressing research domains such as bioinformatics, computer science, engineering, and the physical sciences. In the context of this chapter, convergence is the joining of forces between neuro-based life sciences with engineering and the physical sciences, in a transdirectional exchange—or intellectual cross-pollination. In this context, the chapter reviews three core objectives: (i) the need to focus on a common theme or scientific/medical challenge, (ii) how to encourage convergence through structural change such as personnel, infrastructure, and funding strategies, and (iii) the importance of expanding educational and training programs that teach convergence methodology alongside traditional opportunities for formal and informal discussion and collaborations.