La interdisciplina, así como también la transdisciplina, se han posicionado como un tema de la mayor relevancia en las universidades chilenas. Sin embargo, pese a su progresiva incorporación dentro de los lineamientos estratégicos de las instituciones de educación superior, persisten dudas respecto a sus impactos efectivos, en los modos de generación y transmisión de conocimiento.
This paper contributes to the literature on the consequences of scientific impact in science. Scientific impact is key to progress and rewarding for researchers. However, the culture of scientific impact puts researchers under competitive pressure, especially when career advances are based on quantitative indicators of scientific impact. The objective of this study is to analyse the effect of scientific impact on the happiness of researchers, a phenomenon underexplored in the literature.
After more than a year of research at INGENIO, I invite you to an immersive exploration of the trajectory of Ukrainian cities during and post-war reconstruction. This seminar unveils a multifaceted analysis merging: a) network mapping of ongoing initiatives and actors within Ukraine, b) perspectives on net-zero transformation, and c) visionary exploration by Ukrainian refugees.
This is very early stage work, which will benefit from an open and constructive exchange of ideas and discussions with the INGENIO community and network. The idea is part of a work-in-progress study on science (non) commercialization (SC). We aim to explain why SC or other ways of knowledge/technology transfer happen more often in some disciplines than in others. The differentiation between basic and applied research or use-inspired basic research (Stoke, 1997) does not fully explain science non-commercialization and commercialization, respectively, within or across disciplines.
Over 90% of clinical trials for cancer disease drugs fail. It is therefore necessary to increase understanding about the factors that increase the success of drug development. In the present thesis, this issue is addressed from the perspective of Innovation Studies. To this end, 103 articles related to clinical trials, published in innovation journals (1984–2021), are revised systematically. The existing findings are summarised, the studies are classified into categories and some suggestions for potential theoretical and methodological advances in Innovation Studies are provided.
This is an on-going study in which we explore inductively start-up coaches’ role in developing an entrepreneurial identity in researchers and having impact in research institutions. Our initial working hypothesis was that start-up coaches can play a relevant role in embedding an entrepreneurial mindset in researchers, or steering researchers towards an entrepreneurial horizon. Contrary to our working hypothesis, we found that start-up coaches’ strong commitment with neutrality prevents them from doing so.
In this talk, I will explore the development of DNA sequencing as a scientific practice from the mid-1980s onwards. By combining qualitative and quantitative methods, I will show that this practice was organised in a variety of ways and that this variety both extends and qualifies the epic history that the proponents of the Human Genome Project mobilised. One of the points of divergence between our stories is that, in my investigation, the sequencing of human DNA was often connected to medical problems.
We revisit the well-known fact that richer countries tend to produce a larger variety of goods and analyze economic development through (export) diversification. We show that countries are more likely to enter ‘nearby’ industries, i.e., industries that require fewer new occupations. To rationalize this finding, we develop a small open economy (SOE) model of economic development at the extensive industry margin. In our model, industries differ in their input requirements of non-tradeable occupations or tasks.
Artificial intelligence (AI) can make important contributions to scientific research by performing functional tasks such as reviewing prior literature, classifying digital data, or developing new drug compounds. There is less evidence, however, on the potential of AI as a mechanism to manage human workers who perform such research tasks.