Knowledge asymmetry in interdisciplinary collaborations and how to reduce it

By Max Kemman

Max Kemman (biography)

How can tasks and goals among partners in a collaboration be effectively negotiated, especially when one party is dependent on the deliverables of another party? How does knowledge asymmetry affect such negotiations? What is knowledge asymmetry anyway and how can it be dealt with?

What is knowledge asymmetry? 

My PhD research involves historians who are dependent on computational experts to develop an algorithm or user interface for historical research. They therefore needed to be aware of what the computational experts were doing.

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Toolboxes as learning aids for dealing with complex problems

By Stefan Hilser

Stefan Hilser (biography)

How can toolboxes more effectively support those learning to deal with complex societal and environmental problems, especially novices such as PhD students and early career researchers?

In this blog post, I briefly describe four toolboxes and assess them for their potential to assist learning processes. My main aim is to open a discussion about the value of the four toolboxes and how they could better help novices.

Before describing the toolboxes, I outline the learning processes I have in mind, especially the perspective of legitimate peripheral participation.

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Four strategies for improving knowledge exchange among scientists and decision-makers

By Chris Cvitanovic

Chris Cvitanovic (biography)

How can we improve knowledge exchange among scientists and decision-makers to facilitate evidence informed decision-making? Of course there is no one size fits all approach, but here I outline four strategies that could be adapted and implemented across different contexts: (i) knowledge co-production, (ii) embedding, (iii) knowledge brokers, and (iv) boundary organisations. These are illustrated in the figure below.

Knowledge co-production

Perhaps the most widely advocated approach to achieving improved knowledge exchange, knowledge co-production refers to the process whereby decision-makers actively participate in scientific research programs from the onset, collaborating with researchers throughout every aspect of the study including design, implementation and analysis.

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Conditions for co-creation

By Gabriele Bammer

This is part of a series of occasional “synthesis blog posts” drawing together insights across blog posts on related topics.

Gabriele Bammer (biography)

What is required for effective co-creation, especially between researchers and stakeholders? In particular, what contributes to a productive environment for co-creation? And what considerations are relevant for deciding who to involve?

Twelve blog posts which have addressed these issues are discussed. Bringing those insights together provides a richer picture of how to achieve effective co-creation.

What makes a productive environment for co-creation?

A good starting point is to be working in an environment and organizational culture that support co-creation and to have sufficient financial, personnel and other resources, as pointed out by Kit Macleod and Arnim Wiek.

Dialogue-based processes are often an important part of co-creation and they need to be established as a generative space, focused on synergy, not conflict.

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Linking learning and research through transdisciplinary competences

By BinBin Pearce

BinBin Pearce (biography)

What are the objectives of transdisciplinary learning? What are the key competences and how do they relate to both educational goals and transdisciplinary research goals? At Transdisciplinarity Lab (TdLab), our group answered these questions by observing and reflecting upon the six courses at Bachelor’s, Master’s, and PhD levels that we design and teach in the Department of Environmental Systems Science at ETH Zurich, Switzerland.

Six competence fields describe what we hope students can do with the help of our courses. A competence field contains a set of interconnected learning objectives for students. We use these competence fields as the basis for curriculum design.

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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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How is transformative knowledge ‘co-produced’?

By Andy Stirling, Adrian Ely and Fiona Marshall

andy-stirling
Andy Stirling (biography)

It’s often said that knowledge to tackle big problems in the world – food, water, climate, energy, biodiversity, disease and war – has to be ‘co-produced’. Tackling these problems is not just about solving ‘grand challenges’ with big solutions, it’s also about grappling with the underlying causal social and political drivers. But what does co-production actually mean, and how can it help to create knowledge that leads to real transformation?

Here’s how we at the Social, Technological and Environmental Pathways to Sustainability (STEPS) Centre approach this challenge of co-production.

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Ten steps to make your research more relevant

By Christian Pohl, Pius Krütli and Michael Stauffacher

Interdisciplinary and transdisciplinary research often aims at broader impact in society. But, how can you make such impact happen?

A researcher might face a number of questions (s)he was not necessarily trained to address, such as:

  • How can I be sure that my research question will provide knowledge relevant for society?
  • Who in this fuzzy thing called society are my primary target audiences anyway?
  • Are some of them more important for my project than others?

Over the last several years, we developed 10 steps to provide a structured way of thinking through how to improve the societal relevance of a research project, as summarised in the table below.

When working with researchers to plan their impact, we usually go through the 10 steps in a workshop format, as follows:

  • Before each step we provide a brief account of the underlying theory and clarify why the step matters.
  • Then we ask the researchers to complete a concrete task, reflecting on their own project
  • Researchers usually also discuss their reflections with each other and learn about different approaches to address societal relevance.
  • They also discuss the tasks with us, but we are not necessarily the ones who know the right answers.

The ten steps work best in a context where a research project leader, for example, provides detailed project knowledge and the whole group is interested in discussing the societal impact of research.

In our experience, the ten steps trigger reflection on one’s own research and allow for fruitful coproduction of knowledge in the project team on how to improve the societal relevance of projects.

What techniques have you used to plan, and reflect on, making your research socially relevant?

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Christian Pohl (biography)

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Pius Krütli (biography)

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Michael Stauffacher (biography)

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Four questions to guide arts-based knowledge translation

By Tiina Kukkonen and Amanda Cooper

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Tiina Kukkonen (biography)

Arts-based knowledge translation refers to the process of using artistic approaches to communicate research findings to target audiences. Arts-based knowledge translation continues to grow in popularity among researchers and knowledge mobilisers, particularly in the health sector, because of its capacity to reach and engage diverse audiences through the arts. But how might researchers, with or without experience in the arts, actually go about planning and implementing arts-based knowledge translation?

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What makes research transdisciplinary?

By Liz Clarke

Liz Clarke (biography)

What do we mean by transdisciplinarity and when can we say we are doing transdisciplinary research? There is a broad literature with a range of different meanings and perspectives. There is the focus on real-world problems with multiple stakeholders in the “life-world”, and a sense of throwing open the doors of academia to transcend disciplinary boundaries to address and solve complex problems. But when it comes to the practicalities of work in the field, there is often uncertainty and even disagreement about what is and isn’t transdisciplinarity.

Let me give an example.

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Co-producing research: Why we need to say what we mean, mean what we say, and learn as we go

By Bev J. Holmes

Bev J. Holmes (biography)

The co-production or co-creation of research is not new – action based research traditions can lay claim to a long history, but are those of us involved in co-production doing enough to understand what it means?

In their work on public involvement, Antoine Boivin and colleagues (2014) note there is such widespread support for the rhetoric of co-production that we may dismiss (I would add not even acknowledge) the tensions that arise when professionals and lay people work together. Co-production in health research is similar. We need to work harder to say what we mean, mean what we say, and learn as we go.

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Toolkits for transdisciplinary research

By Gabriele Bammer

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Gabriele Bammer (biography)

If you want to undertake transdisciplinary research, where can you find relevant concepts and methods? Are there compilations or toolkits that are helpful?

I’ve identified eight relevant toolkits, which are described briefly below and in more detail in the journal GAIA’s Toolkits for Transdisciplinarity series.

One toolkit provides concepts and methods relevant to the full range of transdisciplinary research, while the others cover four key aspects: (i) collaboration, (ii) synthesis of knowledge from relevant disciplines and stakeholders, (iii) thinking systemically, and (iv) making change happen.

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