Using a cartoon video to achieve research impact »
In the right circumstances, a cartoon video can be an effective way to communicate research information. But what’s involved in developing a cartoon video?
Five lessons for early career researchers in interacting with policymakers »
Aparna, an early career researcher, presents five lessons learnt from her self-initiated engagement with policy makers.
Managing uncertainty in decision making: What can we learn from economics? »
How can researchers create interested in complex societal and environmental problems best understand and deal with uncertainty, which is an inherent part of the world in which we live?
What you should know about p values »
Have you been taught to look for ‘p < 0.05’ meaning that there is a less than 5% probability that the finding occurred by chance? Do you look askance at your statistician colleagues when they tell you it’s not so simple? Here’s why you need to believe them.
Tracking stakeholder engagement and research impact »
Is there an easy and efficient way to keep track of stakeholder engagement and research impact? My colleagues and I have developed a system with two components: noting engagement and impact soon after they occur and recording them in a way that enables the information to be extracted for whatever purpose is required.
Scatterplots as an interdisciplinary communication tool »
Scatterplots are used in many disciplines, which makes them useful for communicating across disciplines. They are also common in newspapers, online media and elsewhere as a tool to communicate research results to stakeholders, ranging from policy makers to the general public.
Sharing mental models is critical for interdisciplinary collaboration »
What is a mental model? How do mental models influence interdisciplinary collaboration? What processes can help tease out differences in mental models?
Six lessons about change that affect research impact »
What do researchers need to know about change to help our research have greater impact? What kind of impact is it realistic to expect? Will understanding change improve the ways we assess research impact?