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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Using Ostrom’s social-ecological systems framework to set context for transdisciplinary research: A case study

By Maria Helena Guimarães

maria-helena-guimaraes
Maria Helena Guimarães (biography)

How can Elinor Ostrom’s social-ecological systems framework help transdisciplinary research? I propose that this framework can provide an understanding of the system in which the transdisciplinary research problem is being co-defined.

Understanding the system is a first step and is necessary for adequate problem framing, engagement of participants, connecting knowledge and structuring the collaboration between researchers and non-academics. It leads to a holistic understanding of the problem or question to be dealt with. It allows the problem framing to start with a fair representation of the issues, values and interests that can influence the research outcomes. It also identifies critical gaps as our case study below illustrates.

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Ten steps to make your research more relevant

By Christian Pohl, Pius Krütli and Michael Stauffacher

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1. Christian Pohl (biography)
2. Pius Krütli (biography)
3. Michael Stauffacher (biography)

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.

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Making sense of wicked problems

By Bethany Laursen

bethany-laursen
Bethany Laursen (biography)

How do we know when we have good answers to research questions, especially about wicked problems?

Simply and profoundly, we seek answers that make good sense. Every formal method, framework, or theory exists, in the end, to help us gain insight into a mystery. When researching wicked problems, choosing methods, frameworks, and theories should not be guided by tradition or disciplinary standards. Instead, our design choices need to consider more fundamental justifications that cut across disciplinary boundaries. A fundamental criterion for good research is that it makes good sense. By making this criterion our “true North” in wicked problems research, we can more easily find and justify integrating disciplinary (or cultural, or professional) perspectives that apply to a particular problem.

So, how do we make good sense in wicked problems scholarship?

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Two barriers to interdisciplinary thinking in the public sector and how time graphs can help

By Jane MacMaster

jane-macmaster
Jane MacMaster (biography)

After one year or so delivering seminars that share practical techniques to help navigate complexity to public sector audiences, I’ve observed two simple and fundamental barriers to dealing more effectively with complex, interdisciplinary problems in the public sector.

First, is the lack of time to problem-solve – to pause and reflect on an issue, to build a deeper understanding of it, to think creatively about it from different angles, to think through some ideas, to test out some ideas. There is too much else going on.

Second, is that it’s often quite difficult to put one’s collective finger on what, exactly, the problem is.

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Problem framing and co-creation

By Graeme Nicholas

graeme-nicholas
Graeme Nicholas (biography)

How can people with quite different ways of ‘seeing’ and thinking about a problem discover and negotiate these differences?

A key element of co-creation is joint problem definition. However, problem definition is likely to be a matter of perspective, or a matter of how each person involved ‘frames’ the problem. Differing frames are inevitable when participants bring their differing expertise and experience to a problem. Methods and processes to support co-creation, then, need to manage the coming together of people with differing ways of framing the problem, so participants can contribute to joint problem definition.

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A process model for teaching interdisciplinary research

By Machiel Keestra

Machiel Keestra (biography)

How can we effectively teach interdisciplinary research to undergraduate and masters students? What is needed to encompass research ranging from cultural analysis of an Etruscan religious symbol to the search for a sustainable solution for tomato farming in drying areas? Given that there is no predetermined set of theories, methods and insights, as is the case with disciplinary research, what would an interdisciplinary textbook cover? How can such a textbook accommodate the fact that interdisciplinary research usually requires students to collaborate with each other, for which they also need to be able to articulate their own cognitive processes? Understandably, a textbook for interdisciplinary research must focus in a rather general sense on the process implied in such research.

In teaching more than 15 cohorts of undergraduate and masters students at the Institute for Interdisciplinary Studies (IIS) at the University of Amsterdam, who are conducting research projects in interdisciplinary teams and with a strong emphasis on empirical research, we have developed an IIS model. This model is arranged in four research phases: orientation, preparation, data (collection and analysis) and finalization. The key tasks in each phase are summarised in the following figure.

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