Transforming transdisciplinarity: Interweaving the philosophical with the pragmatic to move beyond either/or thinking

By Katie Ross and Cynthia Mitchell

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1. Katie Ross (biography)
2. Cynthia Mitchell (biography)

Can a dive into the philosophical depths of transdisciplinarity provide an orientation to the fundamental purpose and need for transdisciplinarity?

The earlier philosophers of transdisciplinarity – such as Erich Jantsch (1980), Basarab Nicolescu (2002), and Edgar Morin (2008) – all aim to stretch or transcend the dominant Western paradigm, which arises in part from Aristotle’s rules of good thought. Aristotle’s rules of good thought, or his epistemology, state essentially that to make meaning in the world, we must see in terms of difference; we must make sense in terms of black and white, or dualistic and reductive thinking.

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Twelve ways to kill research translation

By Lewis Atkinson

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Lewis Atkinson (biography)

Want to reduce the likelihood that your research will produce policy and practice change? Here are 12 anti-rules to prevent research translation.

Anti-rule #1: ONLY FOCUS ON YOUR PART OF THE PROBLEM. Avoid seeing the problem as a whole to limit the intervention possibilities. Acknowledge the translational “gap” but be ambivalent about who owns it. Contest it with others and perpetuate confusion with a range of definitions for what research translation means.

Anti-rule #2: CLOSE OFF THE FLOW OF INFORMATION AND KNOWLEDGE. Keep a tight lid on who is involved and what knowledge is seen to be relevant. Do not share your data or allow access to your sources of data. Minimise the rate of data exchange within and among various research and non-research partners.

Anti-rule #3: MAINTAIN IMPERMEABLE PROFESSIONAL & INSTITUTIONAL RESEARCH BOUNDARIES.

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Using Ostrom’s social-ecological systems framework to set context for transdisciplinary research: A case study

By Maria Helena Guimarães

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Maria Helena Guimarães (biography)

How can Elinor Ostrom’s social-ecological systems framework help transdisciplinary research? I propose that this framework can provide an understanding of the system in which the transdisciplinary research problem is being co-defined.

Understanding the system is a first step and is necessary for adequate problem framing, engagement of participants, connecting knowledge and structuring the collaboration between researchers and non-academics. It leads to a holistic understanding of the problem or question to be dealt with. It allows the problem framing to start with a fair representation of the issues, values and interests that can influence the research outcomes. It also identifies critical gaps as our case study below illustrates.

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Managing deep uncertainty: Exploratory modeling, adaptive plans and joint sense making

By Jan Kwakkel

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Jan Kwakkel (biography)

How can decision making on complex systems come to grips with irreducible, or deep, uncertainty? Such uncertainty has three sources:

  1. Intrinsic limits to predictability in complex systems.
  2. A variety of stakeholders with different perspectives on what the system is and what problem needs to be solved.
  3. Complex systems are generally subject to dynamic change, and can never be completely understood.

Deep uncertainty means that the various parties to a decision do not know or cannot agree on how the system works, how likely various possible future states of the world are, and how important the various outcomes of interest are.

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Toolkits for transdisciplinary research

By Gabriele Bammer

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Gabriele Bammer (biography)

If you want to undertake transdisciplinary research, where can you find relevant concepts and methods? Are there compilations or toolkits that are helpful?

I’ve identified eight relevant toolkits, which are described briefly below and in more detail in the journal GAIA’s Toolkits for Transdisciplinarity series.

One toolkit provides concepts and methods relevant to the full range of transdisciplinary research, while the others cover four key aspects: (i) collaboration, (ii) synthesis of knowledge from relevant disciplines and stakeholders, (iii) thinking systemically, and (iv) making change happen.

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Critical Back-Casting

By Gerald Midgley

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Gerald Midgley (biography)

How can we design new services or strategies when the participation of marginalized stakeholders is vital to ethicality? How can we liberate people’s creativity so we can move from incremental improvements to more fundamental change?

To answer these questions, I have brought together insights from Russ Ackoff and Werner Ulrich to develop a new method that I call Critical Back-Casting.

Russ Ackoff, writing in the 1980s, is critical of organizations that focus on incremental improvements without ever asking whether they are doing the right thing in the first place. Thus, they are at risk of continually ‘improving’ the wrong thing, when they would be better off going for a more radical redesign. Ackoff makes two far-reaching prescriptions to tackle this problem.

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Two frameworks for scoping

By Gabriele Bammer

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Gabriele Bammer (biography)

How can all the possibilities for understanding and acting on a complex social or environmental problem be elucidated? How can a fuller appreciation of both the problem and the options for tackling it be developed, so that the best approach to dealing with it can be identified? In other words, how can a problem be scoped?

The point of scoping is to illuminate a range of options. It moves those dealing with the complex problem beyond their assumptions and existing knowledge to considering the problem and the possibilities for action more broadly.

Practicalities, however, dictate that everything cannot be included, so that scoping is inevitably followed by boundary setting.

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Co-creation without systems thinking can be dangerous

By Gerald Midgley

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Gerald Midgley (biography)

Why does the theory and practice of co-creation need to be informed by systems thinking? Co-creation without a thorough understanding of systems thinking can be deeply problematic. Essentially, we need a theory and practice of systemic co-creation.

Three key things happen in any co-creation:

  1. It is necessary for a diversity of perspectives to engage.
  2. There is the synergistic innovation that results from this engagement.
  3. The innovation is meaningful in a context of use.

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Modeling as empowerment

By Laura Schmitt Olabisi

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Laura Schmitt Olabisi (biography)

Who can make systems change? The challenges of complexity are intensely felt by those who are trying to make strategic interventions in coupled human-environmental systems in order to fulfill personal, societal, or institutional goals. The activists, leaders, and decision-makers I work with often feel overwhelmed by trying to deal with multiple problems at once, with limited time, resources, and attention. We need tools to help leaders cut through the complexity so that they can identify the most effective strategies to make change.

This is where participatory system dynamics modelers like myself come in.

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Practicality In Complexity (reblogged)

Three points in this blog post by Nora Bateson resonate:

1. The idea of “catching the rhythm” of the “patterns of movement” in our constantly changing world.
2. More effectively taking context into account.
3. “We cannot know the systems, but we can know more. We cannot perfect the systems, but we can do better.”

The challenge is to develop methods and processes to better achieve these goals. (Reblogged by Gabriele Bammer)