Author-tag: Chris Cvitanovic

Overcoming the mismatch between goals and outcomes in knowledge exchange

By Denis Karcher and Chris Cvitanovic

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1. Denis Karcher (biography)
2. Chris Cvitanovic (biography)

How well do researchers achieve the research impacts they aim for? And if there is a mismatch, does it matter?

Together with colleagues (Karcher et al., 2021), we systematically searched for and reviewed nearly 400 studies that described goals and outcomes that were claimed for knowledge exchange at the science-policy interface. Although our focus was on the environmental sciences, the results may be more widely useful.

Big ambitions

The eight top goals that studies described for their knowledge exchange activities were:

1. Usability, eg., that the interaction with policy makers and/or the knowledge created were credible, legitimate, relevant, and timely (458 references).

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Five questions to understand epistemology and its influence on integrative research processes

By Katie Moon, Chris Cvitanovic, Deborah A. Blackman, Ivan R. Scales and Nicola K. Browne

authors_katie-moon_chris-cvitanovic_deborah-blackman_ivan-scales_nicola-browne
1. Katie Moon; 2. Chris Cvitanovic; 3. Deborah A. Blackman; 4. Ivan R. Scales; 5. Nicola K. Browne (biographies)

How can we reduce the barriers to successful integrative research processes? In particular, how can we understand the different epistemologies that underpin knowledge?

Epistemology is the branch of philosophy that asks: how do we know what we know? It is concerned with how we can ensure that knowledge is both adequate and legitimate, by considering:

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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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Considerations for choosing frameworks to assess research impact

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

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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.

1. Be clear about underlying assumptions of knowledge production and definitions of impact

Clarifying from the start how research activities are intended to achieve impact is an important pre-cursor to designing an evaluation. Furthermore, defining what you mean by impact is an important first step in selecting indicators to know if you’ve achieved it.

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Five organizational features for successful interdisciplinary research

By Jessica Blythe and Chris Cvitanovic

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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.

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