A Partnership Outcome Spaces framework for transdisciplinary student-staff partnerships

By Giedre Kligyte, Mieke van der Bijl-Brouwer, Jarnae Leslie, Tyler Key, Bethany Hooper and Eleanor Salazar

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1. Giedre Kligyte; 2. Mieke van der Bijl-Brouwer; 3. Jarnae Leslie; 4. Tyler Key; 5. Bethany Hooper; 6. Eleanor Salazar (biographies)

How can universities leverage students’ perspectives to create pathways towards lasting organisational change in higher education? How can we conceptualise institutional impact and outcomes of transdisciplinary student-staff partnerships?

Why student-staff partnerships?

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Give-and-take matrix for transdisciplinary projects

By Michael Stauffacher and Sibylle Studer

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1. Michael Stauffacher (biography)
2. Sibylle Studer (biography)

Transdisciplinary research projects often have multiple components, including sub-projects that involve co-production with various stakeholders, more standard discipline-based pieces gathering specific understandings of the problem, and investigations into options for transforming the problem situations.

How can the individual parts of transdisciplinary research projects be effectively aligned? How can interactions and integration within the whole research team be improved? What’s needed to make mutual expectations explicit and to identify possibilities for further collaboration?

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What is needed to institutionalise transdisciplinarity?

By Gabriele Bammer

Author - Gabriele Bammer
Gabriele Bammer (biography)

What are the indicators that transdisciplinarity has been institutionalised? How close is it? What still needs to be done to achieve institutionalisation?

Transdisciplinary teaching and research are becoming more common in universities and a range of research organisations. So how will we know that transdisciplinarity is an integral and accepted part of the research and higher education scene, nationally and internationally?

I suggest that there are two primary criteria:

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Trust at the science-policy interface

By Chris Cvitanovic and Rebecca Shellock

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1. Chris Cvitanovic (biography)
2. Rebecca Shellock (biography)

How important is trust at the science-policy interface? How can you build trust when working with decision-makers? And how can trust be repaired after a break-down?

How important is trust when working at the science-policy interface?

Trust is important at 3 levels:

  1. Trust in individuals (eg., an individual researcher and an individual policy-maker), which is important for providing space for open dialogue;
  2. Trust in the research organisation, which focuses on organisational legitimacy and credibility, and acting in a way that is free of bias;
  3. Trust in the process by which knowledge is generated and exchanged.

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System redesign toward creating shared value

By Moein Khazaei, Mohammad Ramezani, Amin Padash and Dorien DeTombe

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1. Moein Khazaei (biography)
2. Mohammad Ramezani (biography)
3. Amin Padash (biography)
4. Dorien DeTombe (biography)

How can services that are provided to citizens be overhauled so that they will survive, be competitive and be fair (eg., accessible to all)? Is there a systematic way in which shared value can be created? By shared value we mean combining social and environmental interests with corporate interests.

We have developed a methodology that we call “System redesign toward creating shared value” or SYRCS. It comprises 4 stages, shown in the figure below. They are:

  1. emancipation and critical thinking
  2. problem structuring
  3. multi-criteria and quantitative decision-making
  4. creating shared value.

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A new alliance between the natural and human sciences?

By Sergio Mariotti

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Sergio Mariotti (biography)

How can we forge a new alliance between the natural and human sciences in order to deal with complex problems? Can economics and engineering show the way? Where does transdisciplinarity fit?

Ilya Prigogine based his 1990s theory of complexity on the need for a “new alliance” between the natural and human sciences in order to restore a unified knowledge based on plurality, diversity and multiple perspectives.

I explore what this would mean if we focus on two disciplines – economics and engineering – in the context of one complex problem: a future society increasingly influenced by the cluster of organizational and market innovations induced by Artificial Intelligence technologies.

Economists and engineers have played a vital role in the evolution of our modern society. The related disciplines have intertwined with each other, leading to mutual cross-fertilization.

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Navigating intercultural relations in transdisciplinary practice: The partial overlaps framework

By David Ludwig, Vitor Renck & Charbel N. El-Hani

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

How can local knowledge be effectively and fairly incorporated in transdisciplinary projects? How can such projects avoid “knowledge mining” and “knowledge appropriation” that recognize marginalized knowledge only where it is convenient for dominant actors and their goals? In addition, how can knowledge integration programs avoid being naive or even harmful by forcing Indigenous people into regimes of knowledge production that continue to be dominated by the perspectives of external researchers?

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Core competencies for implementation practice

By Sobia Khan and Julia E. Moore

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1. Sobia Khan (biography)
2. Julia E. Moore (biography)

How can implementation practitioners – those who are implementing in practice rather than for research – become more effective? How can the pragmatism required to apply implementation science principles to practice be taught and fostered? What are the core competencies of implementation practice?

We conducted a scan of the literature and grey literature and then consolidated six existing core competency documents, covering implementation practice, knowledge translation, and knowledge mobilization. The core competencies outlined across these six documents required some synthesis and re-framing in order to really make sense and resonate with practitioners, particularly to address differences across settings.

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Six ways to see systems leadership

By Benjamin Taylor

benjamin-taylor
Benjamin Taylor (biography)

What do we mean by systems leadership? And how does it relate to systems change?

Ideas about both systems thinking and systems change have become prominent over the last few years, but the terms are often poorly defined and used with a range of meanings.

I suggest that there are broadly six types or flavours of systems leadership, all of which have key implications for systems change. And, of course, they can overlap.

1. Systems leadership as a form of better leadership

This is inclusive, mobilising, and systems aware leadership.

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Seven tips for developing large-scale cross-disciplinary research proposals

By Gemma Jiang, Jin Wen and Simi Hoque

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1. Gemma Jiang (biography)
2. Jin Wen (biography)
3. Simi Hoque (biography)

What are the key ingredients for successfully developing large-scale cross-disciplinary research proposals? What’s required for a team to successfully work together at the proposal development stage?

Here we provide seven lessons based on our experience, divided into:

  • team characteristics
  • structuring the grant proposal writing process.

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Why awareness raising campaigns cannot fix structural problems

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Pei Shan Loo (biography)

By Pei Shan Loo

Why are awareness raising campaigns popular? Why can’t they fix structural problems? And how can system dynamics help?

Large amounts of funding for health, societal, environmental and other complex problems are channelled into “awareness raising” to build public recognition of the problem in the hope that understanding will lead to change and a lasting solution.

Why awareness raising campaigns are popular

There are at least four reasons why funding is spent on awareness raising campaigns:

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Five insights on achieving research impact

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1. Niki Ellis (biography)
2, Anne-Maree Dowd (biography)
3. Tamika Heiden (biography)
4, Gabriele Bammer (biography)

By Niki Ellis, Anne-Maree Dowd, Tamika Heiden and Gabriele Bammer

What does it take for research to be impactful? How should research impact be assessed? How much responsibility for impact should rest with researchers and how much with government, business and/or community partners?

We present five key insights based on our experience in achieving research impact in Australia:

  1. Planning for impact is essential
  2. Quality relationships trump all other factors
  3. Assessment of research contributions should be tailored to the type of research and based on team, not individual, performance
  4. Researchers alone cannot be responsible for achieving impact
  5. Be open to continual learning.

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