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Effectively leading interdisciplinary and transdisciplinary research organisations

By Global Leaders of Interdisciplinary and Transdisciplinary Research Organisations

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Global Leaders of Interdisciplinary and Transdisciplinary Research Organisations details (biographies)

What qualities and skills do leaders of interdisciplinary and transdisciplinary research organisations need?

Leaders of interdisciplinary and transdisciplinary research organisations need the qualities that make any leader successful—creativity, humility, open-mindedness, long-term vision, and being a team player. In addition, we identified eight leadership attributes that are specific to interdisciplinary and transdisciplinary interactions and that help leaders to be transformative with real world impacts. Leaders need to cultivate:

  1. vision beyond the status quo
  2. collaborative leadership
  3. partnerships
  4. shared culture
  5. communications with multiple audiences
  6. appropriate monitoring and evaluation
  7. perseverance
  8. resources for success.

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Practical actions for fostering cross-disciplinary research

By Yan Ding, Justin Pulford, Susie Crossman and Imelda Bates

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1. Yan Ding (biography)
2. Justin Pulford (biography)
3. Susie Crossman (biography)
4. Imelda Bates (biography)

How can we facilitate cross-disciplinary research in practice? What practical actions are considered important for participating in cross-disciplinary research? How do these actions change at the individual, research team/programme and institutional/funder level?

Cross-disciplinary research approaches allow for the interchange of knowledge and experience to stimulate innovative responses to complex research challenges.

Individual researchers

The individual researcher requires certain personal attributes for effective participation in cross-disciplinary research.

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Facilitating serendipity for interdisciplinary research

By Catherine Lyall

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Catherine Lyall (biography)

How can institutions facilitate the serendipitous encounters that so often appear to characterise interdisciplinary careers? Is there an inherent hypocrisy in university leaders, research funders and policymakers claiming that they want to facilitate interdisciplinarity and then not creating the conditions that experienced interdisciplinarians say they need in order to foster this style of working?

Here I examine the importance of informal interactions, physical locations, the ‘small stuff’ and ‘slow research.’ I draw on interviews with British academics (at various career stages from postdoc to professor) whose doctoral studies had been funded by deliberately interdisciplinary studentship schemes. For more detail, including the sources of the quotations, see Lyall (2019).

Informality is crucial

Finding the time and space for informal discussions with colleagues is critical.

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Improving transdisciplinary arts-science partnerships

By Tania Leimbach and Keith Armstrong

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1. Tania Leimbach (biography)
2. Keith Armstrong (biography)

Collaborations with scientists have become a major focal point for artists, with many scientists now appreciating the value of building working relationships with artists and projects often going far beyond illustration of scientific concepts to instead forge new collaborative frontiers. What is needed to better “enable” and “situate” arts–science partnerships and support mutual learning?

Our research looked at the facilitation of arts–science partnerships through the investigation of two unique collaborative projects, developed at two geographically distinct sites, initiated by artist Keith Armstrong. One was enacted with an independent arts organisation in regional Australia and the other at a university art gallery in Sydney, Australia.

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Strengthening the ecosystem for effective team science: A case study from University of California, Irvine, USA

By Dan Stokols, Judith S. Olson, Maritza Salazar and Gary M. Olson

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1. Dan Stokols (biography)
2. Judith S. Olson (biography)
3. Maritza Salazar (biography)
4. Gary M. Olson (biography)

How can an ecosystem approach help in understanding and improving team science? How can this work in practice?

An Ecosystem Approach

Collaborations among scholars from different fields and their community partners are embedded in a multi-layered ecosystem ranging from micro to macro scales, and from local to more remote regions. Ecosystem levels include:

  • individual members of teams;
  • the teams to which they belong viewed as organizational units;
  • the broader institutional contexts (eg., universities, research institutes) that support multi-team systems; and,
  • their community and societal milieus (eg., science policies and priorities established by national and international agencies and foundations).

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Synthesis centers as critical research infrastructure

By Andrew Campbell

andrew-campbell
Andrew Campbell (biography)

When we think of research infrastructure, it is easy to associate astronomers with telescopes, oceanographers with research vessels and physicists with particle accelerators.

But what sort of research infrastructure (if any) do we need in order to do more effective multidisciplinary, interdisciplinary and transdisciplinary research on big, complex, ‘wicked’ challenges like climate change or food security?

Some eminent colleagues and I argue in a new paper (Baron et al., 2017) that the answers include:

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Material resources for transdisciplinary research

By Chris Riedy

chris-riedy
Chris Riedy (biography)

What materials are needed to support the conduct of transdisciplinary research?

Transdisciplinary research is a bundle of interwoven social practices taking different forms in different contexts. As highlighted in one prominent version of social practice theory (Shove et al., 2012: 14), social practice has three elements:

  • Materials – ‘including things, technologies, tangible physical entities, and the stuff of which objects are made’
  • Competences – ‘which encompasses skill, know-how and technique’
  • Meanings – ‘in which we include symbolic meanings, ideas and aspirations’.

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Facilitating multidisciplinary decision making

By Bob Dick

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Bob Dick (biography)

Imagine this scenario. You are confronted by a wicked problem, such as the obesity epidemic. You know it’s a wicked problem – many previous attempts to resolve it have failed.

Suppose that you wish to develop a plan to remedy obesity. You have identified as many relevant areas of expertise and experience as you can and approached appropriate people – researchers, health practitioners, people with political influence, and so on.

You bring them together to pool their expertise—only to find that you now have another problem. Encouraging them to work collaboratively is more difficult than you expected. They talk in jargon. Their understanding is narrow. Their commitment is to their own discipline. Some of their understanding is tacit. Some of them are argumentative. And more. What are you to do?

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Responding to stakeholders – lessons learnt

By Klaus Hubacek and Christina Prell

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1. Klaus Hubacek (biography)
2. Christina Prell (biography)

Being responsive to stakeholder interests and suggestions is important for successful participatory modeling. We share lessons from an exciting, five year project in the UK entitled the ‘Sustainable Uplands’. The project sought to bring together a variety of groups ranging from academics, policy makers, residents, conservationists, and different ‘end user’ groups that all, in some way, held a stake in upland park areas in the UK.

Our process was iterative, tacking back and forth between field work, consultations among the research team, consultations with non-academic stakeholders, and modeling. Not only were our models heavily influenced by what stakeholders told us were important values and considerations regarding upland areas, but these also informed how we went about gathering the data.

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