Visualisation – Integration and Implementation Insights

Using the arts to flip understanding: An arts intervention for non-arts researchers

August 3, 2023June 20, 2023

By Margot Greenlee, Martina Jerant and Veronica Dittman Stanich

authors_margot-greenlee_martina-jerant_veronica-dittman-stanich — 1. Margot Greenlee (biography)
2. Martina Jerant (biography)
3. Veronica Dittman Stanich (biography)

What do the arts bring to interdisciplinary research? Can arts practices lead STEMM (Science, Technology, Engineering, Mathematics and Medicine) researchers to new insights on their work?

We—a choreographer-and-professional-facilitator (Margot), a scientist-athlete-facilitator-entrepreneur (Martina), and a dancer-turned-arts-researcher (Veronica)—had a hunch that the arts have something to offer STEMM researchers: a different understanding of their own work.

We posited that thoughts are intertwined with actions, and when there is no opportunity to do things differently, it’s hard to think differently—to get a fresh perspective. By “actions”, we mean the practices researchers do every day as part of their work: for example, read, collect data, analyze data, present ideas in written form, revise that writing. Whatever the typical practices of a field or discipline are, as researchers train and eventually become experts in that field, its practices become habitual.

Give-and-take matrix for transdisciplinary projects

September 24, 2021August 10, 2021

By Michael Stauffacher and Sibylle Studer

authors_michael-stauffacher_sibylle-studer — 1. Michael Stauffacher (biography)
2. Sibylle Studer (biography)

Transdisciplinary research projects often have multiple components, including sub-projects that involve co-production with various stakeholders, more standard discipline-based pieces gathering specific understandings of the problem, and investigations into options for transforming the problem situations.

How can the individual parts of transdisciplinary research projects be effectively aligned? How can interactions and integration within the whole research team be improved? What’s needed to make mutual expectations explicit and to identify possibilities for further collaboration?

Ten insights on the interplay between evidence and policy

April 15, 2022August 11, 2020

By Kat Smith and Paul Cairney

authors_kat-smith_paul-cairney — 1. Kat Smith (biography)
2. Paul Cairney (biography)

How can we improve the way we think about the relationship between evidence and policy? What are the key insights that existing research provides?

1. Evidence does not tell us what to do

It helps reduce uncertainty, but does not tell us how we should interpret problems or what to do about them.

2. There is no such thing as ‘the evidence’

Instead, there is a large number of researchers with different backgrounds, making different assumptions, asking different questions, using different methods, and addressing different problems.

How can co-labouring improve transdisciplinary research?

August 2, 2023August 4, 2020

By Robert Pijpers and Sabine Luning

authors_robert-pijpers_sabine-luning — 1. Robert Pijpers (biography)
2. Sabine Luning (biography)

What do we mean by co-labouring? What practices does it involve? How can it enhance interactions among researchers and key stakeholders in transdisciplinary research?

Defining co-labouring

Choosing the notion of ‘co-labouring’ in our transdisciplinary project stems from an awareness that creating alternative perspectives, eg., on sustainable futures for mining, is a complex endeavor. Ideas of researchers wanting to give voice to unheard groups at the margin are too often based on simple models of translation. These assumptions underestimate what gets lost in translation, or the gaps in understandings between different groups of stakeholders.

Inspired by the work of Marisol de la Cadena (2015), we consider co-labouring to be the hard work needed when partners engage in conversations, defined as processes of (re)interpretations.

Breaking through disciplinary barriers with practical mapping

January 10, 2023June 9, 2020

By Steven E. Wallis and Bernadette Wright

author_steven-wallis_and_bernadette-wright — 1. Steven E. Wallis (biography)
2. Bernadette Wright (biography)

How can practical mapping help develop interdisciplinary knowledge for tackling real-world problems — such as poverty, justice and health — that have many causes? How can it help take into account political, economic, technological and other factors that can worsen or improve the issues?

Maps are useful because they show your surroundings – where things are in relation to each other (and to you). They show the goals we want to achieve and what it takes to get there.

‘Practical mapping’ is a straight-forward approach for using concepts and connections to integrate knowledge across and between disciplines, to support effective action.

Using a cartoon video to achieve research impact

August 2, 2023September 17, 2019

By Darren Gray, Yuesheng Li and Don McManus

authors_darren-gray_yuesheng-li_don-mcmanus — 1. Darren Gray (biography)
2. Yuesheng Li (biography)
3. Don McManus (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.

Developing the cartoon video involved three major steps: formative research, production, and pilot testing plus revision.

Formative research

The aim of the formative research is to better understand what you want to change, which in our case was a reduction in behaviours which put Chinese children at risk of being infected by soil-transmitted helminths.

Scatterplots as an interdisciplinary communication tool

August 11, 2021December 4, 2018

By Erin Walsh

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?

What can interdisciplinary collaborations learn from the science of team science?

September 29, 2021June 19, 2018

By Suzi Spitzer

How can we improve interdisciplinary collaborations? There are many lessons to be learned from the Science of Team Science. The following ten lessons summarize many of the ideas that were shared at the International Science of Team Science Conference in Galveston, Texas, in May 2018.

1. Team up with the right people
On the most basic level, scientists working on teams should be willing to integrate their thoughts with their teammates’ ideas. Participants should also possess a variety of social skills, such as negotiation and social perceptiveness. The most successful teams also encompass a moderate degree of deep-level diversity (values, perspectives, cognitive styles) and include women in leadership roles.

CoNavigator: Hands-on interdisciplinary problem solving

November 9, 2021February 13, 2018

By Katrine Lindvig, Line Hillersdal and David Earle

authors_mosaic_katrine-lindvig-lin-hillersdal_david-earle — 1. Katrine Lindvig (biography)
2. Line Hillersdal (biography)
3. David Earle (biography)

How can we resolve the stark disparity between theoretical knowledge about interdisciplinary approaches and practical applications? How can we get from written guidelines to actual practices, especially taking into account the contextual nature of knowledge production; not least when the collaborating partners come from different disciplinary fields with diverse expectations and concerns?

For the past few years, we have been developing ways in which academic theory and physical interactions can be combined. The result is CoNavigator – a hands-on, 3-dimensional and gamified tool which can be used:

for learning purposes in educational settings
as a fast-tracking tool for interdisciplinary problem solving.

CoNavigator is a tool which allows groups to collaborate on a 3-dimensional visualisation of the interdisciplinary topography of a given field or theme.

A new boundary object to promote researcher engagement with policy makers / Un nuevo objeto frontera para promover la colaboración de los investigadores con los tomadores de decisiones

April 15, 2022October 3, 2017

By María D. López Rodríguez

A Spanish version of this post is available

Can boundary objects be designed to help researchers and decision makers to interact more effectively? How can the socio-political setting – which will affect decisions made – be reflected in the boundary objects?

Here I describe a new context-specific boundary object to promote decision making based on scientific evidence. But first I provide a brief introduction to boundary objects.

What is a ‘boundary object’?

Learning to tackle wicked problems through games / Aprendiendo a hacer frente a problemas perversos a través de los juegos/ Apprendre à affronter les problèmes sournois à travers les jeux

January 7, 2022April 11, 2017

By Claude Garcia, Anne Dray and Patrick Waeber

authors_claude-garcia_anne-dray_patrick-waeber — 1. Claude Garcia (biography)
2. Anne Dray (biography)
3. Patrick Waeber (biography)

A Spanish version and a French version of this post are available

Can we help the next generation of policy makers, business leaders and citizens to become creative, critical and independent thinkers? Can we make them aware of the nature of the problems they will be confronted with? Can we strengthen their capacity to foster and lead stakeholder processes to address these problems?

Knowledge mapping technologies

November 30, 2022March 30, 2017

By Jack Park

How can you improve your thinking – alone or in a group? How can mapping ideas help you understand the relationships among them? How can mapping a conversation create a new reality for those involved?

In what follows, I draw on the work of Daniel Kahneman’s (2011) best-selling book Thinking, Fast and Slow, which explains how human thinking occurs at different speeds, from the very fast thinking associated with face-to-face conversation to the very slow thinking associated with assembling information resources into encyclopedias. I use those ideas in my descriptions of knowledge maps.

Three kinds of knowledge maps