Three types of knowledge tool – Integration and Implementation Insights

Co-producing knowledge: Phases, issues and the td-net toolbox

October 17, 2023October 10, 2023

By Sibylle Studer and Theres Paulsen

authors_sibylle-studer_theres-paulsen — 1. Sibylle Studer (biography)
2. Theres Paulsen (biography)

What are the steps involved in co-producing knowledge in transdisciplinary research? What tools are available to help knowledge co-production and for what purpose should they be used?

Based on our experiences with the td-net (Network for Transdisciplinary Research) toolbox, we discuss how knowledge co-production can be organized along an ideal type of a transdisciplinary research process.

Phases and key issues of co-production

In developing the td-net toolbox, we used the following four phases of knowledge co-production, which require an iterative, rather than linear, approach:

How can social network analysis benefit transdisciplinary research?

June 23, 2023September 9, 2021

By Leonhard Späth, Rea Pärli and the RUNRES project team

authors_leonhard_spath_rea-parli_RUNRES-project — 1. Leonhard Späth (biography)
2. Rea Pärli (biography)
3. RUNRES Project Team (participants)

Can we observe in a more analytical way how transdisciplinarity “happens”? How useful is social network analysis in transdisciplinary work, especially for uncovering the role of relationship structures? How can transdisciplinary concepts be used to map connections between those involved in transdisciplinary research?

A very brief introduction to social network analysis

Social network analysis is the study of connections between different people or any other social entity involved in the topic under investigation (referred to as actors), as well as the patterns of those connections and the distribution of the ties among actors.

There are many ways to conduct a social network analysis. The first step is often to identify the relevant actors. The second step is to find out about a specific relationship with the other identified actors.

Three types of knowledge

February 11, 2021

By Tobias Buser and Flurina Schneider

authors_tobias-buser_flurina-schneider — 1. Tobias Buser (biography)
2. Flurina Schneider (biography)

When addressing societal challenges, how can researchers orient their thinking to produce not only knowledge on problems, but also knowledge that helps to overcome those problems?

The concept of ‘three types of knowledge’ is helpful for structuring project goals, formulating research questions and developing action plans. The concept first appeared in the 1990s and has developed into a core underpinning of transdisciplinary research.

The three types of knowledge, illustrated in the first figure below, are:

1. Systems knowledge, which is usually defined as knowledge about the current system or problem situation. It is mainly analytical and descriptive. For example, if you think of water scarcity, systems knowledge refers to producing a holistic understanding of the relevant socio-ecological system, including aspects like water availability, water uses, water management, justice questions, and their interrelations.