Ramos-Vielba Irene, Robinson-Garcia Nicolas, Woolley Richard
Danish Centre for Studies in Research and Research Policy, Department of Political Science, Aarhus University, Aarhus, Denmark.
EC3 Research Group, Information and Communication Studies Department, Universidad de Granada, Granada, Spain.
PLoS One. 2022 Jun 3;17(6):e0269004. doi: 10.1371/journal.pone.0269004. eCollection 2022.
The interplay between science and society takes place through a wide range of intertwined relationships and mutual influences that shape each other and facilitate continuous knowledge flows. Stylised consequentialist perspectives on valuable knowledge moving from public science to society in linear and recursive pathways, whilst informative, cannot fully capture the broad spectrum of value creation possibilities. As an alternative we experiment with an approach that gathers together diverse science-society interconnections and reciprocal research-related knowledge processes that can generate valorisation. Our approach to value creation attempts to incorporate multiple facets, directions and dynamics in which constellations of scientific and societal actors generate value from research. The paper develops a conceptual model based on a set of nine value components derived from four key research-related knowledge processes: production, translation, communication, and utilization. The paper conducts an exploratory empirical study to investigate whether a set of archetypes can be discerned among these components that structure science-society interconnections. We explore how such archetypes vary between major scientific fields. Each archetype is overlaid on a research topic map, with our results showing the distinctive topic areas that correspond to different archetypes. The paper finishes by discussing the significance and limitations of our results and the potential of both our model and our empirical approach for further research.
科学与社会之间的相互作用通过广泛的相互交织的关系和相互影响得以发生,这些关系和影响相互塑造,并促进知识的持续流动。关于有价值的知识以线性和递归路径从公共科学流向社会的程式化结果主义观点虽然具有启发性,但无法完全涵盖价值创造可能性的广泛范围。作为一种替代方法,我们尝试采用一种途径,该途径汇集了各种科学与社会的相互联系以及与研究相关的相互知识过程,这些过程能够产生价值增值。我们的价值创造方法试图纳入多个方面、方向和动态因素,在这些因素中,科学和社会行为者群体从研究中创造价值。本文基于从四个与研究相关的关键知识过程(生产、转化、传播和利用)中得出的一组九个价值组成部分,构建了一个概念模型。本文进行了一项探索性实证研究,以调查在构成科学与社会相互联系的这些组成部分中是否能够识别出一组原型。我们探讨了这些原型在主要科学领域之间是如何变化的。每个原型都叠加在一个研究主题图上,我们的结果显示了与不同原型相对应的独特主题领域。本文最后讨论了我们研究结果的意义和局限性,以及我们的模型和实证方法在进一步研究中的潜力。