Combining and adapting frameworks for research implementation

By Kirsty Jones and Sara Bice

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1. Kirsty Jones (biography)
2. Sara Bice (biography)

How can combining frameworks help plan a research implementation process? What specific contributions can different frameworks make?

In our research with industry, we found combining three frameworks to be an effective way to get handles on a complex implementation landscape and to design the necessary steps to systematically work our way through it. The frameworks we found useful were: a logic model, a pathway to impact and the Consolidated Framework for Implementation Research, which we adapted to our context.

We provide four figures to show how we used each framework and briefly describe the benefits we derived from each of them. Although fully understanding the detail in the figures requires familiarity with the specifics of our research, we trust the figures provide insight into how each framework was used.

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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

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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:

  1. what constitutes a knowledge claim, including the assumptions that are made
  2. how knowledge is produced or acquired
  3. how the extent of its applicability can be determined.

Accordingly, understanding and accounting for different epistemologies is important for developing solutions to contemporary challenges where a range of disciplines and practices converge, each with their own methods and assumptions regarding the adequacy and legitimacy of knowledge.

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Transdisciplinary integration: A multidimensional interactive process

By Dena Fam, Julie Thompson Klein, Sabine Hoffmann, Cynthia Mitchell and Christian Pohl

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1. Dena Fam; 2. Julie Thompson Klein (no photo); 3. Sabine Hoffmann; 4. Cynthia Mitchell; 5. Christian Pohl (biographies)

The concept of integration is widely regarded as the crux of transdisciplinary research, education, and practice. However, there is no one-size-fits-all approach or methodology. Projects and programs vary in purpose, scale and scope, problem focus, research question, mix of expertise, degree of coordination and communication, timing, and responsibility for integration. Based on findings in a study of integration we conducted (Pohl et al., 2021), we address four common questions to provide insights into transdisciplinary integration as a multidimensional interactive process.

1. Does integration require coming to consensus on a contested issue?

Not necessarily. Agreement on a final single understanding or solution is only one kind of integration.

Other kinds do not require agreement or consensus. Instead, they allow perspectives reflecting different ways of knowing related to different knowledge communities and knowers to coexist. Such other kinds of integration include:

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How can social network analysis benefit transdisciplinary research?

By Leonhard Späth, Rea Pärli and the RUNRES project team

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1. Leonhard Späth (biography)
2. Rea Pärli (biography)
3. RUNRES Project Team (participants)

Can we observe in a more analytical way how transdisciplinarity “happens”? How useful is social network analysis in transdisciplinary work, especially for uncovering the role of relationship structures? How can transdisciplinary concepts be used to map connections between those involved in transdisciplinary research?

A very brief introduction to social network analysis

Social network analysis is the study of connections between different people or any other social entity involved in the topic under investigation (referred to as actors), as well as the patterns of those connections and the distribution of the ties among actors.

There are many ways to conduct a social network analysis.

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Six lessons for implementing technological change in developing country communities

By Jonathan Ensor, Daniel Vorbach, Steven Johnson and James Moir

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1. Jonathan Ensor (biography)
2. Daniel Vorbach (biography)
3. Steven Johnson (biography)
4. James Moir (biography)

How does the provision of new technology, infrastructure or community institutions interact with the social setting, especially at the village community level in developing countries? How does this interaction determine the sorts of changes that are experienced? Given this interconnection between the technical and social worlds, what are the implications for the design and implementation of interventions? And what does this more holistic perspective suggest that implementing agencies should be considering and advocating for alongside their on-the-ground activities?

Three lessons for project design and implementation

1. Design the interventions with the village community

Any technological change, such as the introduction of new infrastructure or technologies, will have an impact that emerges from the interaction between that technology and the social, cultural and institutional systems in the community.

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A tool for transdisciplinary research planning and evaluation

By Brian Belcher, Rachel Claus, Rachel Davel, Stephanie Jones and Daniela Pinto

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1. Brian Belcher; 2. Rachel Claus; 3. Rachel Davel; 4. Stephanie Jones; 5. Daniela Pinto (biographies)

What are the characteristics of high-quality transdisciplinary research? As research approaches increasingly cross disciplinary bounds and engage stakeholders in the research process to more effectively address complex problems, traditional academic research assessment criteria are insufficient and may even constrain transdisciplinary research development and use. There is a need for appropriate principles and criteria to guide transdisciplinary research practice and evaluation.

In response to this need, Belcher et al. (2016) developed the Transdisciplinary Research Quality Assessment Framework based on a systematic review of literature that discussed the definition and measurement of research quality for inter- and trans- disciplinary research. Through applied testing in case study evaluations, we have revised and refined the framework to improve its utility.

Principles and Criteria

The tool provides guiding principles and corresponding criteria for transdisciplinary research design and implementation. Four principles comprise the Quality Assessment Framework:

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