Inspired by recent literature that approaches the dissemination of knowledge from a social interaction perspective, the article explores the dynamics of a prototypical optimal control growth problem structured upon the following features: (i) the model economy is populated by a large number of rational agents; (ii) each agent allocates time, optimally, among production and social interaction; (iii) knowledge spreads through the contact with others; (iv) the propagation of ideas follows two steps—in a first stage, interaction promotes the acquisition of theoretical knowledge and, in a second stage, it works as a catalyst for the successful implementation of the theory to practical productive uses; (v) interaction contributes not only to the diffusion of a given state of technical knowledge—it fosters, as well, the growth of ideas and techniques. The model allows for the endogenous determination of optimal trajectories concerning the allocation of time and the intensity of interaction; moreover, a long-term endogenous growth rate for the economy is derived, with optimal growth being essentially driven by the state of techniques and by the forces that shape the human interaction process.

There have been numerous exhortations for more ‘translational research’. A selective review of historical examples of research leading to health benefits is used to consider the various forms of successful interplay between basic science and clinical applications. This is followed by a consideration of key neuroscience findings that might be relevant for translation, and then by a discussion of the challenges and opportunities in relation to mental disorders. The time-frame for the pathway from science findings to health benefits is usually long, and generally requires an interactive interplay among different scientific strategies. There is a false dichotomy between so-called basic and applied research and translation needs to proceed from the bedside to the laboratory as well as in the opposite direction. There is a key need for bridging research of the hypothesis-testing experimental medicine variety. Health benefits may involve either public health considerations or the treatment of individual patients, or both. There are now some opportunities for direct translational research but there is a much greater need for hypothesis-based bridging studies that occupy a crucial mid-phase in the pathway from science findings to health benefits.