Diversity

Moving from epistemic paternalism to transformative transdisciplinarity

By David Ludwig and Charbel N. El-Hani.

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1. David Ludwig (biography)
2. Charbel N. El-Hani (biography)

How can we overcome the epistemic paternalism that has long shaped relations between science and society? How can a transformative vision of transdisciplinarity emerge from the interplay between epistemic diversity and epistemic decolonization? 

Demands for transdisciplinary research reflect an intricate politics of knowledge that can be described through a triad of paternalism, diversity, and decolonization. Epistemic paternalism has become widely criticized in many debates about development and modernization. For example, international development projects are often deeply paternalistic by assuming that science and technology of the “developed world” should be simply exported into the “underdeveloped world,” where they are imagined as generating economic growth and societal progress.

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Recognize and value linguistic and conceptual pluralism!

By Ulli Vilsmaier.

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Ulli Vilsmaier (biography)

How can we best recognise and value linguistic and conceptual pluralism in naming what we do when we work in international environments? What are the limitations of descriptors such as transdisicplinarity, participatory action research and co-creation? 

Terminology is really an issue when working across linguistic, disciplinary and professional boundaries. Working internationally we are now accustomed to using the hyper-centralized language, English; we tend to delegate translation more and more to machine-based algorithms; and we easily forget the consequences of working in a language that is not our mother tongue nor anchored in our cultural and social environment.

A hyper-centralized language has great benefits, but also major weaknesses.

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Actor constellation role plays

By Alexandra Frangenheim.

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Alexandra Frangenheim (biography)

How can transdisciplinary researchers gain a better understanding of systemic and multi-causal problems, including recognising different thought styles, appreciating the complexity of intervening, and anticipating points of conflict?

Actor constellation is a role play for identifying the relevance of various actors involved in specific problems. It is useful for problem framing when a research team is formed, for example to plan empirical inquiries or to identify relevant actors for addressing research questions. It also enables researchers from different disciplines and practitioners to uncover hidden dynamics and possible systemic solutions to the problem of interest, and to unlock the potential of shifting perspectives to ultimately develop new narratives.

When research participants represent relevant actors in a role play, their implicit assumptions about relationships, structures, interaction and actors’ knowledge are made explicit.

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Four conditions for co-designing for First Nations leadership

By Jessica Wegener, Barry Williams, Jacqueline Gothe and Sarah Jane Jones.

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1. Jessica Wegener (biography)
2. Barry Williams (biography)
3. Jacqueline Gothe (biography)
4. Sarah Jane Jones (biography)

How can research effectively strengthen Indigenous leadership and incorporate respectful design to support Indigenous sovereignty and self-determination? 

We retrospectively reflected on our experience of working together in a project focused on land and fire management in a specific region in Australia, a project that involved Indigenous Cultural Fire Practitioners, Elders, and community members, as well as Local Aboriginal Land Councils, local councils and government agencies (Gothe et al., 2025). This reflexive analysis aimed to understand and share what we have learned as participants in this Indigenous project as a contribution to the complex work of ensuring meaningful ways to support Indigenous sovereignty, self-determination, and the use of co-design in Indigenous-led land-based projects situated in urban contexts.

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Six elements of effective co-design

By Will Allen.

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Will Allen (biography)

What does co-design for tackling complex challenges look like in practice?

Co-design is a collective way of navigating complexity, taking different forms depending on context. The following six elements are a reflection on patterns I’ve seen emerge through practice, especially in settings where multiple perspectives matter.

1. Starting with shared grounding: Creating early alignment through shared values, context, and purpose

In many collaborative projects, there’s a tendency to begin by defining tasks – what needs doing, by whom, and when. But in complex settings, where multiple perspectives and values come into play, it’s often more important to begin with relationships. It helps to understand where people are coming from, what matters to them, and how they see the purpose.

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Data variety and why it matters

By Richard Berry.

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Richard Berry (biography)

What are the differing characteristics of data? Why are they important for systems to function effectively? What is requisite variety of data?

There are nine characteristics of data variety which agitate systems. These are volume, velocity, variety, veracity, validity, vulnerability, viscosity, vectors and virtualisation. Together, the ‘9Vs’ constitute a data requisite variety framework and are described below. 

1. Volume

Description: The amounts of available data.

Example: Volume can vary widely from the results of small-scale research to the tsunami of digital material accessible through the internet. The latter can overwhelm both people and organisations.

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Building co-production capabilities in researchers: Strengthening reflexivity via learning opportunities

By Emma Ligtermoet, Claudia Munera-Roldan, Cathy Robinson, Zaynel Sushil and Peat Leith.

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1. Emma Ligtermoet; 2. Claudia Munera-Roldan; 3. Cathy Robinson; 4. Zaynel Sushil; 5. Peat Leith (biographies)

What forms of learning can support interdisciplinary teams to rapidly build reflexivity capabilities, especially in preparation for doing transdisciplinary (engaged) science with non-researcher societal actors?

Transdisciplinary co-production requires deep and reflexive learning. Reflexivity is a key capability for researchers doing inter- and transdisciplinary science, involving the critical enquiry of existing assumptions, values and norms underlying our decisions and actions, with the aim to adapt or change current practices or discourses.

Such learning is foundational for understanding and proactively engaging with knowledge-power dynamics, including potentially catalysing shifts in incumbent dynamics when preparing to engage with non-societal actors.

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A tool for developing shared awareness of team member research interests and expertise

By Melanie Bauer, Joshua Roney and Stephen M. Fiore.

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1. Melanie Bauer (biography)
2. Joshua Roney (biography)
3. Stephen M. Fiore (biography)

How can team members who have been working together for a while check assumptions, ensuring they are aware of each other’s breadth of expertise and research interests?

We have developed the “Linking-Relinking” tool to facilitate such a process. This tool supports science teams through development of a transactive memory system, which is a form of shared cognition having to do with “who knows what” on a team. Studies continually show that teams that develop an accurate transactive memory system are better able to coordinate their knowledge when working on challenging problems. The Linking-Relinking Tool can support transactive memory system development by helping members determine how accurate their knowledge is of their teammates and calibrate appropriately.

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How individual members can contribute to effective team functioning

Edited by Gabriele Bammer.

For team dynamics to work effectively, what is the range of contributions that needs to be covered by different team members? How can diversity in skills relevant to team functioning be effectively recognised and harnessed? Here the focus is not on the actual task the team is trying to accomplish, but rather the dynamics of working together and the different contributions or roles required for effective team functioning.

A number of proprietary products (i.e., products owned by companies that need to be purchased to be used) have been developed to help teams assess the strengths and weaknesses of individual team members in contributing to effective team performance. The focus in this Editor’s Addition is to use one such product, CliftonStrengths®, to highlight one set of understandings about what key team dynamics are. Information available on the CliftonStrengths® website is used in abbreviated form and without the summary terms used to encapsulate each team and personal attribute.

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Three key strategies enabling artificial intelligence to bridge inequities

By Kerstin Nothnagel.

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Kerstin Nothnagel (biography)

With artificial intelligence transforming many aspects of society, from healthcare to education to economic development, how can it be used to reduce rather than perpetuate inequalities? In particular, given that artificial intelligence can widen gaps by exacerbating existing inequalities through biased datasets, lack of infrastructure, and limited access to resources, how can the benefits of artificial intelligence be brought into the reach of low-income nations and marginalised communities? What practical steps can be taken to ensure artificial intelligence is developed and applied in a way that is inclusive and benefits everyone?

My work has been in the health field, but the findings are likely to be more broadly applicable. I suggest three strategies that would enable artificial intelligence to reduce inequities. The first two are key contributions that researchers can make. The third is a call to policy makers and funders. An example is provided for each strategy.

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Using cross-cultural dialogue to break down inappropriate knowledge hierarchies

By Roxana Roos.

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Roxana Roos (biography)

How can indigenous, local, artisanal, craft, tacit, counter, gendered and experiential knowledge better inform solutions to complex problems, such as climate change? How—when faced with conditions of complexity, uncertainty and competing tenable knowledge claims—can the actionable knowledge base be pluralized and diversified to include the widest possible range of high-quality, potentially actionable knowledges and sources of relevant wisdom? What are the pitfalls and challenges ahead?

I start with some cautions for the usual practice of transdisciplinary research and then highlight key aspects of cross-cultural dialogue, alongside pitfalls and challenges.

Integration can reproduce undue asymmetries

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Dealing with imperfection in tackling complex problems

By Gabriele Bammer.

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Gabriele Bammer (biography)

Why is an appreciation of imperfection and its inevitability important for those seeking to understand and act on complex societal and environmental problems? Which traps can imperfection lead to and what are the most effective ways of dealing with it?

The inevitability of imperfection

Imperfection is inevitable both in attempting to develop a comprehensive understanding of complex societal and environmental problems and in acting on them. The multiple underpinning reasons include:

● Complex problems are systems problems, and all systems views are partial, so that the whole system cannot be taken into account. Even then, boundaries need to be set to effectively deploy available resources and these artificial boundaries further constrain understanding of the whole system.

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