Five lessons for early career researchers in interacting with policymakers

Community member post 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?

Community member post 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

Community member post 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

Tracking stakeholder engagement and research impact

Community member post by Cathy Day

Cathy Day (biography)

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: (1) noting engagement and impact soon after they occur and (2) recording them in a way that enables the information to be extracted for whatever purpose is required. I describe the tracking spreadsheet, the recording process we use and then how the spreadsheet is used for reporting.

Tracking spreadsheet

The Microsoft Excel tracking spreadsheet has two parts: (1) the engagement or impact and (2) the research to which these are related. These are arranged in columns, which can be adapted for the needs of any particular group. Continue reading

Scatterplots as an interdisciplinary communication tool

Community member post by Erin Walsh

erin-walsh
Erin Walsh (biography)

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. What makes a good scatterplot? Why do scatterplots work? What do you need to watch out for in using scatterplots to communicate across disciplines and to stakeholders?

What makes a good scatterplot? Continue reading

A flexible framework for stakeholder engagement

Community member post by Michelle Banfield

michelle-banfield
Michelle Banfield (biography)

How can stakeholder engagement in research be effectively planned? What parameters need to be taken into account? How can flexibility be built in to accommodate different levels of researcher and stakeholder experience?

The framework presented here was developed for health services research, but is more broadly applicable. The framework has three separate dimensions.

  1. The stakeholders to involve
  2. The stages of the research at which they will be involved
  3. The level of involvement for each stakeholder group at each stage.

Continue reading