A framework for creating effective team integration in interdisciplinary research

By Colleen Cuddy.

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Colleen Cuddy (biography)

What kinds of integration are required in interdisciplinary teams to truly synthesize diverse knowledge and perspectives, creating meaningful outcomes? What are the key facilitators of successful integration?

Integration is a core team process in which “ideas, data and information, methods, tools, concepts, and/or theories … are synthesized, connected, or blended” (Repko, 2012: 4), combining diverse inputs that differ from and are more than the sum of parts (National Research Council, 2015). Integration is multifaceted, and interdisciplinary teams employ several types of integration, as shown in the table below. Social, knowledge, cognitive, and conceptual integration can be seen as a spectrum, with teams utilizing multiple types of integration, often concurrently, to reach team goals, and with innovative teams moving through the spectrum towards conceptual integration.

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Harnessing the collision of four ways of knowing

By Adrian Wolfberg.

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Adrian Wolfberg (biography)

How can solving today’s most complex challenges reckon with four fundamentally different ways of knowing? How can the collision of their distinct epistemic strengths and blind spots be harnessed for innovation in threat assessment and decision-making on complex problems?

Let me unpack these four ways of knowing and how they shape, support, and sometimes undermine each other. Here, I use the example of climate security intelligence, but the insights and lessons are likely to apply to a wider range of complex societal and environmental issues. The four ways of knowing are:

  1. Scientific knowledge from the physical sciences
  2. Scientific knowledge from the social sciences
  3. Judgment under uncertainty by knowledge-producing professionals
  4. Practical decision-making by practitioners who are senior executives.

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What roles do you play in inter- and transdisciplinary projects?

By Hanna Salomon, Benjamin Hofmann and Sabine Hoffmann.

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1. Hanna Salomon (biography)
2. Benjamin Hofmann (biography)
3. Sabine Hoffmann (biography)

What roles do researchers typically play in inter- and transdisciplinary projects? How can they be made transparent in order to reflect on them?

Inter- and transdisciplinary projects typically require different roles and the researchers involved may play one or more of them. There is a plethora of literature describing various ideal-typical roles and we used the literature on researchers’ roles in sustainability science to develop a reflection tool on researcher roles in inter- and transdisciplinary projects.

A Role Reflection Tool

The reflection tool consists of a role survey for individual researchers, a spider web graph for immediate role visualization on the individual and project team level, and a set of questions for individual and project team reflections.

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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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Transforming and weaving knowledge in a complex world: The butterfly and the spider

By Frédéric Darbellay.

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Frédéric Darbellay (biography)

Inter- and transdisciplinarity is today increasingly recognized as a field of study in its own right, with its own theoretical and conceptual foundations, its methodological approaches, its national and international scientific communities and networks.

The field aims to meet the demand for the collaborative, integrated and forward-looking responses that are needed to address the complexity of global issues. Inter- and transdisciplinarity is establishing itself not only as a pioneering and transformative field of research, but also as an essential approach to rethinking the organization of knowledge in academic structures and beyond.

However, inter- and transdisciplinarity remains a diverse and constantly evolving field, shaped by various schools of thought and enriched by a global and intercultural perspective. This diversity constitutes its richness and calls for an inclusive approach, capable of representing the plurality of scientific communities, approaches and practices.

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Towards a taxonomy of synthesizing

By Howard Gardner

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Howard Gardner (biography) (photo credit: Harvard Graduate School of Education)

“Synthesis” seems to be in the atmosphere. The capacity to synthesize, the need for syntheses, and improvement of the quality of syntheses—these are seemingly of interest to many.

A preliminary working definition:

A synthesis is an attempt to bring together various ideas, strands, concepts, and materials. A good synthesis enhances one’s understanding of a question, puzzle, phenomenon (or multiples of these). Familiar examples are school term papers, doctoral dissertations, position papers, landscape analyses, executive summaries, and textbooks. But one can easily extend the list beyond the verbal—to chemical syntheses, equations in physics or mathematics, works of art (poems, paintings, dioramas)—indeed any creation or invention that brings together disparate elements in a satisfying and illuminating way.

Of course, it’s important to avoid the situation where just about everything qualifies as a synthesis.

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An analytical framework for knowledge co-production

By Marianne Penker

Marianne Penker (biography)

How can students and academics starting out in transdisciplinary research begin to come to grips with knowledge co-production?

Colleagues and I developed a useful analytical framework comprising the following four elements:

  1. typology of actor roles (who?)
  2. research phases (when?)
  3. objectives and forms of actor integration (why?)
  4. types of knowledge (what?).

These four elements are illustrated in the figure below.

The development of the framework was based on the literature and our experiences in running a doctoral school on transdisciplinary sustainability research (see Enengel et al. 2012).

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Seven methods for mapping systems

By Pete Barbrook-Johnson and Alexandra S. Penn

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1. Pete Barbrook-Johnson (biography)
2. Alexandra S. Penn (biography)

What are some effective approaches for developing causal maps of systems in participatory ways? How do different approaches relate to each other and what are the ways in which systems maps can be useful?

Here we focus on seven system mapping methods, described briefly in alphabetical order.

1. Bayesian Belief Networks: a network of variables representing their conditional dependencies (ie., the likelihood of the variable taking different states depending on the states of the variables that influence them). The networks follow a strict acyclic structure (ie., no feedbacks), and nodes tend to be restricted to maximum two incoming arrows. These maps are analysed using the conditional probabilities to compute the potential impact of changes to certain variables, or the influence of certain variables given an observed outcome.

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Addressing societal challenges: From interdisciplinarity to research portfolios analysis

By Ismael Rafols

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Ismael Rafols (biography)

How can knowledge integration for addressing societal challenges be mapped, ‘measured’ and assessed?

In this blog post I argue that measuring averages or aggregates of ‘interdisciplinarity’ is not sufficiently focused for evaluating research aimed at societal contributions. Instead, one should take a portfolio approach to analyze knowledge integration as a systemic process over research landscapes; in particular, focusing on the directions, diversity and synergies of research trajectories.

There are two main reasons:

1. since knowledge integration for societal challenges is a systemic and dynamic process, we need broad and plural perspectives and therefore we should use a battery of analytical tools, as developed for example in research portfolio analysis, rather than a narrow focus on interdisciplinarity.

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Agent-based modelling for knowledge synthesis and decision support

By Jen Badham

Jen Badham (biography)

The most familiar models are predictive, such as those used to forecast the weather or plan the economy. However, models have many different uses and different modelling techniques are more or less suitable for specific purposes.

Here I present an example of how a game and a computerised agent-based model have been used for knowledge synthesis and decision support.

The game and model were developed by a team from the Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), a French agricultural research organisation with an international development focus. The issue of interest was land use conflict between crop and cattle farming in the Gnith community in Senegal (D’Aquino et al. 2003).

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A checklist for documenting knowledge synthesis

By Gabriele Bammer

Gabriele Bammer (biography)

How do you write-up the methods section for research synthesizing knowledge from different disciplines and stakeholders to improve understanding about a complex societal or environmental problem?

In research on complex real-world problems, the methods section is often incomplete. An agreed protocol is needed to ensure systematic recording of what was undertaken. Here I use a checklist to provide a first pass at developing such a protocol specifically addressing how knowledge from a range of disciplines and stakeholders is brought together.

KNOWLEDGE SYNTHESIS CHECKLIST

1. What did the synthesis of disciplinary and stakeholder knowledge aim to achieve, which knowledge was included and how were decisions made?

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Synthesis of knowledge about participatory modeling: How a group’s perceptions changed over time

By Rebecca Jordan

Rebecca Jordan (biography)

How do a group’s perceptions change over time, when members across a range of institutions are brought together at regular intervals to synthesize ideas? Synthesis centers have been established to catalyze more effective cross-disciplinary research on complex problems, as described in the blog post ‘Synthesis centers as critical research infrastructure‘, by Andrew Campbell.

I co-led a group synthesizing ideas about participatory modeling as one of the activities at the National Socio-Environmental Synthesis Center (SESYNC). We met in Annapolis, Maryland, USA, four times over three years for 3-4 days per meeting. Our task was to synthesize what is known about participatory modeling tools, processes, and outcomes, especially in environmental and natural resources management contexts.

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