How can expertise in research integration and implementation help tackle complex problems?

By Gabriele Bammer

author - gabriele bammer
Gabriele Bammer (biography)

What is expertise in research integration and implementation? What is its role in helping tackle complex societal and environmental problems, especially those dimensions that define complexity?

Expertise in research integration and implementation

Addressing complex societal and environmental problems requires specific expertise over and above that contributed by existing disciplines, but there is little formal recognition of what that expertise is or reward for contributing it to a research team’s efforts. In brief, such expertise includes the ability to:

  • identify relevant disciplinary and stakeholder inputs
  • effectively integrate them for a more comprehensive understanding of the problem
  • support more effective actions to ameliorate the problem.

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Transdisciplinary action research: A guiding framework for collaboration

By Steven Lam, Michelle Thompson, Kathleen Johnson, Cameron Fioret and Sarah Hargreaves

author-steven-lam
Steven Lam (biography)

How can graduate students work productively with each other and community partners? Many researchers and practitioners are engaging in transdisciplinarity, yet there is surprisingly little critical reflection about the processes and outcomes of transdisciplinarity, particularly from the perspectives of graduate students and community partners who are increasingly involved.

author-michelle-thompson
Michelle Thompson (biography)

Our group of four graduate students from the University of Guelph and one community partner from the Ecological Farmers Association of Ontario, reflect on our experiences of working together toward community food security in Canada, especially producing a guidebook for farmer-led research (Fioret et al. 2018). As none of us had previously worked together, nor shared any disciplines in common, we found it essential to first develop a guiding framework for collaboration. Our thinking combined the following key principles from action research and transdisciplinarity: Continue reading

Why model?

By Steven Lade

Steven Lade
Steven Lade (biography)

What do you think about mathematical modelling of ‘wicked’ or complex problems? Formal modelling, such as mathematical modelling or computational modelling, is sometimes seen as reductionist, prescriptive and misleading. Whether it actually is depends on why and how modelling is used.

Here I explore four main reasons for modelling, drawing on the work of Brugnach et al. (2008):

  • Prediction
  • Understanding
  • Exploration
  • Communication.

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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).

Agent-based modelling is particularly effective where understanding is more important than prediction. This is because agent-based models can represent the real world in a very natural way, making them more accessible than some other types of models. Continue reading

Collaboration: From groan zone to growth zone

By Carrie Kappel

Carrie Kappel (biography)

What is the groan zone in collaboration? What can you do when you reach that point?

As researchers and practitioners engaged in transdisciplinary problem-solving, we know the value of diverse perspectives. We also know how common it is for groups to run into challenges when trying to learn from diverse ideas and come to consensus on creative solutions.

This challenging, often uncomfortable space, is called the groan zone. The term comes from Sam Kaner’s diamond model of participation shown in the figure below. After an initial period of divergent thinking, where diverse ideas are introduced, groups have to organize that information, focus on what’s most important, and make decisions in order to move forward into the phase of convergent thinking. Continue reading

Incommensurability, plain difference and communication in interdisciplinary research

By Vincenzo Politi

Vincenzo Politi (biography)

Where does the term incommensurability come from? What is its relevance to interdisciplinarity? Is it more than plain difference? Does incommensurability need to be reconceptualized for interdisciplinarity?

Incommensurability: its origins and relevance to interdisciplinarity

‘Incommensurability’ is a term that philosophers of science have borrowed from mathematics. Two mathematical magnitudes are said to be incommensurable if their ratio cannot be expressed by a number which is an integer. For example, the radius and the circumference of a circle are incommensurable because their ratio is expressed by the irrational number π. Continue reading