Recent concerns about potential biases against novelty in science and a perceived decline in creativity have raised interest in quantitatively measuring novelty in research outputs such as scientific articles and patents. However, defining and measuring novelty is a complex task, as it involves capturing the elusive spark of creativity, which is inherently unobservable. This paper proposes a systematic approach to tackle these challenges. First, we propose a theoretical framework to conceptualize the novelty, thereby offering clarity in its measurement.
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.
Manuel Acosta, Joaquín M. Azagra-Caro, Daniel Coronado, Esther Ferrándiz
University of Cádiz (UCA)
This paper is inspired by two opposing hypotheses about the relationship between innovation and business cycles. According to the first hypothesis, innovation is cyclical with firms choosing to lower their innovation efforts during economic downturns. The second hypothesis claims that innovation is counter-cyclical and recessions are a fertile environment for firms to innovate.
El objetivo es difundir una línea de investigación híbrida entre los Estudios sobre Ciencia y Tecnología y los Estudios sobre Comunicación Científica, que puede descubrir nuevas maneras de hacer investigación y alentar las vocaciones investigadoras. La comunicación científica mediante el arte es importante para mejorar la comprensión pública de la ciencia y las relaciones entre investigadores y sociedad.
The object of this project is nature and the “natural” understood as the non-human, including non-human sentient beings, the plant and mineral kingdoms. The main goal is to expand our understanding of the economy of emotions in the digital communication ecosystem to the field of nature and the “natural” that are part of several public discourses (e.g. ecologism, animal rights, green activism, veganism, etc.). Placing the visually grotesque (i.e. disruptive, shocking) and kitschy (i.e.
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.
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.
Este seminario se plantea como una reflexión desde la historia de la ciencia en torno a las distintas formas en que se puede entender la relación y la interacción entre la ciencia y la literatura, dos campos que a menudo se consideran opuestos o antagónicos.
The academic debate about university-industry engagement often centres on the strategic aspects of these interactions, particularly those related to the benefits associated with knowledge exchange and learning. In a broader sense, it is assumed that these interactions are fundamental to improving science and innovation. However, the core of the innovation system lies in the researcher, specifically in their internal motivation to engage with companies, which can determine the success of the knowledge transfer and outputs.
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.
