Facilitating serendipity for interdisciplinary research

By Catherine Lyall

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Catherine Lyall (biography)

How can institutions facilitate the serendipitous encounters that so often appear to characterise interdisciplinary careers? Is there an inherent hypocrisy in university leaders, research funders and policymakers claiming that they want to facilitate interdisciplinarity and then not creating the conditions that experienced interdisciplinarians say they need in order to foster this style of working?

Here I examine the importance of informal interactions, physical locations, the ‘small stuff’ and ‘slow research.’

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How to support research consortia

By Bruce Currie-Alder and Georgina Cundill Kemp

Bruce Currie-Alder (biography)

A research consortium is a model of collaboration that brings together multiple institutions that are otherwise independent from one another to address a common set of questions using a defined structure and governance model. Increasingly consortia are also being joined in cross-consortia networks. How can connections be made across the institutions in individual consortia, as well as in cross-consortia networks, to ensure that such collaborations are more than the sum of their parts?

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Improving transdisciplinary arts-science partnerships

By Tania Leimbach and Keith Armstrong

Tania Leimbach (biography)

Collaborations with scientists have become a major focal point for artists, with many scientists now appreciating the value of building working relationships with artists and projects often going far beyond illustration of scientific concepts to instead forge new collaborative frontiers. What is needed to better “enable” and “situate” arts–science partnerships and support mutual learning?

Our research looked at the facilitation of arts–science partnerships through the investigation of two unique collaborative projects, developed at two geographically distinct sites, initiated by artist Keith Armstrong. One was enacted with an independent arts organisation in regional Australia and the other at a university art gallery in Sydney, Australia.

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Strengthening the ecosystem for effective team science: A case study from University of California, Irvine, USA

By Dan Stokols, Judith S. Olson, Maritza Salazar and Gary M. Olson

Dan Stokols (biography)

How can an ecosystem approach help in understanding and improving team science? How can this work in practice?

An Ecosystem Approach

Collaborations among scholars from different fields and their community partners are embedded in a multi-layered ecosystem ranging from micro to macro scales, and from local to more remote regions. Ecosystem levels include:

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Structure matters: Real-world laboratories as a new type of large-scale research infrastructure

By Franziska Stelzer, Uwe Schneidewind, Karoline Augenstein and Matthias Wanner

What are real-world laboratories? How can we best grasp their transformative potential and their relationship to transdisciplinary projects and processes? Real-world laboratories are about more than knowledge integration and temporary interventions. They establish spaces for transformation and reflexive learning and are therefore best thought of as large-scale research infrastructure. How can we best get a handle on the structural dimensions of real-word laboratories?

What are real-world laboratories?

Real-world laboratories are a targeted set-up of a research “infrastructure“ or a “space“ in which scientific actors and actors from civil society cooperate in the joint production of knowledge in order to support a more sustainable development of society.

Although such a laboratory establishes a structure, most discussions about real-world laboratories focus on processes of co-design, co-production and co-evaluation of knowledge, as shown in the figure below. Surprisingly, the structural dimension has received little attention in the growing field of literature.

Overcoming structure as the blind spot

We want to raise awareness of the importance of the structural dimension of real-world laboratories, including physical infrastructure as well as interpretative schemes or social norms, as also shown in the figure below. A real-world laboratory can be understood as a structure for nurturing niche development, or a space for experimentation that interacts (and aims at changing) structural conditions at the regime level.

Apart from this theoretical perspective, we want to add a concrete “infrastructural” perspective, as well as a reflexive note on the role of science and researchers. Giddens’ use of the term ‘structure’ helps to emphasize that scientific activity is always based on rules (eg., rules of proper research and use of methods in different disciplines) and resources (eg., funding, laboratories, libraries).

The two key challenges of real-world laboratories are that:

  1. both scientists and civil society actors are involved in the process of knowledge production; and,
  2. knowledge production takes place in real-world environments instead of scientific laboratories.
Franziska Stelzer (biography)

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Uwe Schneidewind (biography)

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Karoline Augenstein (biography)

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Matthias Wanner (biography)

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Synthesis centers as critical research infrastructure

By Andrew Campbell

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Andrew Campbell (biography)

When we think of research infrastructure, it is easy to associate astronomers with telescopes, oceanographers with research vessels and physicists with particle accelerators.

But what sort of research infrastructure (if any) do we need in order to do more effective multidisciplinary, interdisciplinary and transdisciplinary research on big, complex, ‘wicked’ challenges like climate change or food security?

Some eminent colleagues and I argue in a new paper (Baron et al., 2017) that the answers include:

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Impacts of social learning in transformative research

By Flurina Schneider, Lara M. Lundsgaard-Hansen, Thoumthone Vongvisouk, and Julie G. Zähringer

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Flurina Schneider (biography)

How can science truly support sustainability transformations?

In our research projects we often find that the very process of co-producing knowledge with stakeholders has transformative impacts. This requires careful design and implementation. Knowledge co-production in transdisciplinary and other research leads to social learning and can make a difference in the lives of those involved.

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Material resources for transdisciplinary research

By Chris Riedy

chris-riedy
Chris Riedy (biography)

What materials are needed to support the conduct of transdisciplinary research?

Transdisciplinary research is a bundle of interwoven social practices taking different forms in different contexts. As highlighted in one prominent version of social practice theory (Shove et al., 2012: 14), social practice has three elements:

  • Materials – ‘including things, technologies, tangible physical entities, and the stuff of which objects are made’
  • Competences – ‘which encompasses skill, know-how and technique’
  • Meanings – ‘in which we include symbolic meanings, ideas and aspirations’.

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Powhiri: An indigenous example of collaboration from New Zealand

By Rawiri Smith

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Rawiri Smith (biography)

Collaboration is important in New Zealand as a method of bringing communities together to work on complex problems. A useful collaborative model is the Powhiri, practiced by Maori, the indigenous people of New Zealand, for hundreds of years.

The formal welcome to an area in New Zealand is a Maori process known as the Powhiri. The Powhiri recognises the mana of all the participants. One of the most important values of the Maori people is manaaki, or caring for the mana of everyone. The Maori word mana means the importance associated with a person. The performance of a Powhiri acknowledges the importance of a person being welcomed to an area.

The deeper meaning behind the Powhiri process gives more meaning and indicates what should be occurring through the Powhiri.

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The integrative role of landscape

By David Brunckhorst, Jamie Trammell and Ian Reeve

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David Brunckhorst (biography)

Landscapes are the stage for the theatre of human-nature interactions. What does ‘landscape’ mean and what integrative function does it perform?

What is landscape?

Consider a painting of a landscape or look out a window. We imagine, interpret and construct an image of the ‘landscape’ that we see. It’s not surprising that landscapes (like the paintings of them) are valued through human perceptions, and evolve through closely interdependent human-nature relationships. Landscapes are co-constructed by society and the biophysical environment. Landscape change is, therefore, a continuous reflection of the evolving coupled responses of environment and institutions. Landscapes are especially meaningful to those who live in them.

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Facilitating multidisciplinary decision making

By Bob Dick

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Bob Dick (biography)

Imagine this scenario. You are confronted by a wicked problem, such as the obesity epidemic. You know it’s a wicked problem – many previous attempts to resolve it have failed.

Suppose that you wish to develop a plan to remedy obesity. You have identified as many relevant areas of expertise and experience as you can and approached appropriate people – researchers, health practitioners, people with political influence, and so on.

You bring them together to pool their expertise—only to find that you now have another problem. Encouraging them to work collaboratively is more difficult than you expected. They talk in jargon. Their understanding is narrow. Their commitment is to their own discipline. Some of their understanding is tacit. Some of them are argumentative. And more. What are you to do?

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Responding to stakeholders – lessons learnt

By Klaus Hubacek and Christina Prell

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Klaus Hubacek (biography)
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Christina Prell (biography)

Being responsive to stakeholder interests and suggestions is important for successful participatory modeling. We share lessons from an exciting, five year project in the UK entitled the Sustainable Uplands. The project sought to bring together a variety of groups ranging from academics, policy makers, residents, conservationists, and different ‘end user’ groups that all, in some way, held a stake in upland park areas in the UK.

Our process was iterative, tacking back and forth between field work, consultations among the research team, consultations with non-academic stakeholders, and modeling. Not only were our models heavily influenced by what stakeholders told us were important values and considerations regarding upland areas, but these also informed how we went about gathering the data.

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