|
15 Shares In practice the way in which research impacts and influences policy and society is often thought to be a rational, ordered and linear process. Whilst this might represent a ‘common sense’ understanding of research impact, in this cross-post John Burgoyne reflects on how upending the primacy of data and embracing complexity can lead to a more nuanced and effective understanding of research impact.
Based on the content of this publication, we recommend the following resources.
The following resources are related to this publication by citation.