Considerations for choosing frameworks to assess research impact

By Elena Louder, Carina Wyborn, Christopher Cvitanovic and Angela T. Bednarek

authors_elena-louder_carina-wyborn_christopher-cvitanovic_angela-t-bednarek
1. Elena Louder (biography)
2. Carina Wyborn (biography)
3. Christopher Cvitanovic (biography)
4. Angela Bednarek (biography)

What should you take into account in selecting among the many frameworks for evaluating research impact?

In our recent paper (Louder et al., 2021) we examined the epistemological foundations and assumptions of several frameworks and drew out their similarities and differences to help improve the evaluation of research impact. In doing so we identified four key principles or ‘rules of thumb’ to help guide the selection of an evaluation framework for application within a specific context.

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Five organizational features for successful interdisciplinary research

By Jessica Blythe and Chris Cvitanovic

mosaic_authors_jessica-blythe_chris-cvitanovic
1. Jessica Blythe (biography)
2. Chris Cvitanovic (biography)

How can significant challenges associated with doing interdisciplinary research be overcome? What are the best ways to build institutional capacity and structures that support interdisciplinary research?

We have identified five key organizational features that enable successful interdisciplinary research. These are based on an evaluation of the Centre for Marine Socioecology in Tasmania, Australia, which brings together disciplinary expertise in physics, law, economics, biology, sociology and governance. We obtained perspectives across all disciplines and career stages from PhD students to the leadership team.

The five organizational features, also shown in the figure below, are:

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Four strategies for improving knowledge exchange among scientists and decision-makers

By Chris Cvitanovic

Chris Cvitanovic (biography)

How can we improve knowledge exchange among scientists and decision-makers to facilitate evidence informed decision-making? Of course there is no one size fits all approach, but here I outline four strategies that could be adapted and implemented across different contexts: (i) knowledge co-production, (ii) embedding, (iii) knowledge brokers, and (iv) boundary organisations. These are illustrated in the figure below.

Knowledge co-production

Perhaps the most widely advocated approach to achieving improved knowledge exchange, knowledge co-production refers to the process whereby decision-makers actively participate in scientific research programs from the onset, collaborating with researchers throughout every aspect of the study including design, implementation and analysis.

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