Eleven success factors for transdisciplinary real-world labs

By Niko Schäpke, Oskar Marg, Matthias Bergmann, Franziska Stelzer and Daniel J. Lang

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1. Niko Schäpke; 2. Oskar Marg; 3. Matthias Bergmann; 4. Franziska Stelzer; 5. Daniel Lang (biographies)

What is required for transdisciplinary real-world laboratories (labs) to successfully tackle and achieve long-term societal change? How can they make the change process transferable? What is required of the societal and scientific actors?

We discuss eleven success factors to facilitate successful transdisciplinary collaboration and to achieve desired societal effects. These are based on an accompanying research project, which supported and observed several real-world labs, aiming to develop overarching insights on methods and success factors. The accompanying research project also provided consultancy to strengthen the implementation activities of the real-world labs and supported the networking of the labs, including with labs in other countries.

The factors presented below should be seen as generic recommendations to increase the likelihood of success. As each lab has a unique character, factors should be considered, deliberated and addressed for each lab on an individual basis.

Success factor 1: Find the right balance between scientific and societal goals

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Methods for integration in transdisciplinary research

By Matthias Bergmann

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Matthias Bergmann (biography)

To make progress in contributing to the solution of complex real-world problems, transdisciplinary research has come to the forefront. By integrating multiple disciplines as well as the expertise of partners from societal practice, transdisciplinary researchers are able to look at a problem from many angles, with the goal of making both societal and scientific advances.

But how can these different types of expertise be integrated into both a better understanding of the problem and more effective ways of addressing it?

Colleagues and I have collected 43 methods from a number of transdisciplinary research projects dealing with a variety of research topics. We have grouped them into seven classes following an epistemological hierarchy. We start with methods in the narrower sense, progressing to integration instruments.

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