Good practice in community-based participatory processes in Aboriginal and Torres Strait Islander research

By Jan Chapman, Alyson Wright, Nadine Hunt and Bobby Maher

author - jan chapman
Jan Chapman (biography)

How can participatory process in Aboriginal and Torres Strait Islander communities be made adaptable and flexible? How can theoretical frameworks take into account the cultural and geographical complexities of communities and their contexts?

Here we provide five key principles that we have found useful in engaging communities in the Mayi Kuwayu Study (https://mkstudy.com.au/). These include: community decision-making; involvement in study governance; community capacity development; effective communications; and, long-term and multi-engagement processes. Continue reading

The role of persistence in influencing policy with research

By David McDonald

Author - David McDonald
David McDonald (biography)

Seeking to influence policy with our research is difficult. Sometimes we feel that it is too hard, we are not achieving our goals fast enough, and we really should give up and find easier ways of operating. However, persistence, rather than giving up, seems to be a characteristic of those of us working in this domain!

What do we mean by persistence? A good dictionary definition is ‘continuing firmly, especially despite obstacles and protests’. Does that sound familiar: facing obstacles to doing high-quality implementation work, and protests from colleagues who do not share our perceptions of the value of working in this manner? Continue reading

Using a cartoon video to achieve research impact

By Darren Gray, Yuesheng Li and Don McManus

Darren Gray
Darren Gray (biography)

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?

This blog post is based on our experience as a Chinese-Australian partnership in developing an educational cartoon video (The Magic Glasses, link at end of post) which aimed to prevent soil-transmitted helminths (parasitic worm) infections in Chinese schoolchildren. We believe that the principles we applied are more broadly applicable and share them here. Continue reading

Five lessons for early career researchers in interacting with policymakers

By Aparna Lal

Aparna Lal
Aparna Lal (biography)

How, as an early career researcher, can you get started in developing a working relationship with government policy makers? What do you need to be prepared for? What benefits can you expect?

Here I present five lessons from my first self-initiated engagement with policymakers. I am a computer modeller exploring the links between water-quality, climate and health. As such, my research sits at the crossroads of environmental science and public health. At the end of 2018, I decided to present some of my work to the Australian Capital Territory Environment, Planning and Sustainable Development Directorate.

My anticipated outcomes from this presentation were to start a conversation around water and health in the Australian Capital Territory and to leave the meeting with new insights. I also learnt the following lessons: Continue reading

Managing uncertainty in decision making: What can we learn from economics?

By Siobhan Bourke and Emily Lancsar

Siobhan Bourke (biography)

How can researchers 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? Accidents happen, governments change, technological innovation occurs making some products and services obsolete, markets boom and inevitably go bust. How can uncertainty be managed when all possible outcomes of an action or decision cannot be known? In particular, are there lessons from the discipline of economics which have broader applicability? Continue reading

What every interdisciplinarian should know about p values

By Alice Richardson

Alice Richardson (biography)

In interdisciplinary research it’s common for at least some data to be analysed using statistical techniques. 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.

The whole focus on p < 0.05 to the exclusion of all else is a historical hiccup, based on a throwaway line in a manual for research workers. That manual was produced by none other than R.A. Fisher, giant of statistical inference and inventor of statistical methods ranging from the randomised block design to the analysis of variance. But all he said was that “[p = 0.05] is convenient to take … as a limit in judging whether a deviation is to be considered significant or not.” Convenient, nothing more! Continue reading