Our model makes predictions for key features of the teaching process. It applies when the practice's underlying features are subject to interacting and competing constraints. This poses a problem for cultural evolution: if beginners cannot spot the principles to imitate, and experts cannot say what they are doing, how can tacit knowledge pass from generation to generation? We present a domain-general model of 'tacit teaching', drawn from statistical physics, that shows how high-accuracy transmission of tacit knowledge is possible. Furthermore, the median number of years of funding received by researchers involved in joint research projects was found to be about 1.5 times greater than that of researchers not involved in joint research projects, and the average amount of research funding received after 10 years is about 2–4 times more, suggesting that researchers with collaboration ties with other researchers in the early stages of their career tend to be more successful in the future.Ī wide variety of cultural practices have a 'tacit' dimension, whose principles are neither obvious to an observer, nor known explicitly by experts. Our results show that participation in joint research projects and the number of such projects significantly affect the future funding success of junior researchers. More specifically, we investigate the effects of participation in joint research projects, number of joint research projects, and centrality in the collaborative network on the future funding success of junior researchers in Japan. In this paper, we focus on research collaboration structure as a factor affecting funding success. Previous studies have investigated factors that affect the funding success of researchers. To survive in academia, it is crucial to obtain research funding. Īcademia is becoming more and more competitive, especially for young scientists, so it is important to understand the factors that affect success in academic careers. Such research is expected to contribute to the presentation of various career paths to researchers, more effective evaluation of research, better design of science and technology policies, and the discovery of scientifically important fields.
There are several research topics in the science of science, which include analyses of the structure of co-authorship networks and citation networks as well as their changes over time, analysis of the factors of researchers' success, methods to predict which researchers will be successful in the future, analysis of the characteristics of research groups that publish high-impact research results, and modeling citation dynamics. Much attention has been devoted to the science of science, which is a field that aims to advance science and technology by exploring questions such as what kinds of research environments have led to scientifically important discoveries and what kinds of researchers or research groups have achieved success.
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