Processes – Page 27 – Integration and Implementation Insights

Enabling co-creation: From learning cycles to aligning values, rules and knowledge

September 11, 2024January 19, 2017

By Lorrae van Kerkhoff

How do we improve? In the context of sustainable development, we continually confront the question of how we can develop meaningful and positive actions towards a ‘better’ world (social, ecological, economic outcomes) despite inherent uncertainties about what the future holds.

Co-creation is one concept among several that seek to reorientate us from simplistic, largely linear ideas of progress towards more nuanced, subtle ideas that highlight that there are many different aspects of ‘progress’, and these can be deeply contested and challenging to reconcile. Enabling co-creation, then – or operationalizing it – means finding practical ways to work together, to deal with our different experiences, aspirations and expectations as well as the uncertainties of the future.

Co-creation sits within a learning paradigm that suggests engagement, social and mutual learning, adaptation and flexibility are key to enabling action in the face of uncertainty. But how do we think about learning?

Research team performance

December 11, 2024January 17, 2017

By Jennifer E. Cross and Hannah Love

authors_jennifer-cross_hannah-love — 1. Jennifer E. Cross (biography)
2. Hannah Love (biography)

How can we improve the creativity and performance of research teams?

Recent studies on team performance have pointed out that the performance and creativity of teams has more to do with the social processes of interaction on teams, than on individual personality traits. Research on creativity and innovation in teams has found that there are three key predictors of team success:

group membership,
rules of engagement, and
patterns of interaction.

Each of these three predictors can be influenced in order to improve the performance of teams, as the following examples show.

Getting to a shared definition of a “good” solution in collaborative problem-solving

August 24, 2022January 12, 2017

By Doug Easterling

How can collaborative groups move past their divisions and find solutions that advance their shared notions of what would be good for the community?

Complex problems – such as how to expand access to high-quality health care, how to reduce poverty, how to remedy racial disparities in educational attainment and economic opportunity, and how to promote economic development while at the same time protecting natural resources – can’t be solved with technical remedies or within a narrow mindset. They require the sort of multi-disciplinary, nuanced analysis that can only be achieved by engaging a variety of stakeholders in a co-creative process.

Bringing together stakeholders with diverse perspectives allows for a comprehensive analysis of complex problems, but this also raises the risk of a divisive process.

Dealing with deep uncertainty: Scenarios

October 25, 2022January 5, 2017

By Laura Schmitt Olabisi

What is deep uncertainty? And how can scenarios help deal with it?

Deep uncertainty refers to ‘unknown unknowns’, which simulation models are fundamentally unsuited to address. Any model is a representation of a system, based on what we know about that system. We can’t model something that nobody knows about—so the capabilities of any model (even a participatory model) are bounded by our collective knowledge.

One of the ways we handle unknown unknowns is by using scenarios. Scenarios are stories about the future, meant to guide our decision-making in the present.

Pro-active learning to improve interdisciplinary processes

September 15, 2023January 3, 2017

By Laura R. Meagher

Member of Board of Governors — Laura R. Meagher (biography)

I am a firm believer in looking at interdisciplinary collaboration and knowledge exchange – or impact generation – as processes. If you can see something as a process, you can learn about it. If you can learn about it, you can do it better!

I find that this approach helps people to feel enfranchised, to believe that it is possible for them to open up what might have seemed to be a static black box and achieve understanding of the dynamics of how nouns like ‘interdisciplinarity’ or ‘knowledge exchange’ or ‘research impact’ can actually come to be.

In addition to using sources such as master classes, briefing guides or articles, individuals involved in interdisciplinary work can take several (inter-related) pro-active approaches to learning about interdisciplinary processes:

Cross-cultural collaborative research: A reflection from New Zealand

August 1, 2023December 15, 2016

By Jeff Foote

How can non-indigenous researchers work with indigenous communities to tackle complex socio-ecological issues in a way that is culturally appropriate and does not contribute to the marginalisation of indigenous interests and values?

These questions have long been considered by participatory action researchers, and are of growing relevance to mainstream science organisations, which are increasingly utilising cross-cultural research practices in recognition of the need to move beyond identifying ‘problems’ to finding ‘solutions’.

As an example, I borrow heavily from work with colleagues in a partnership involving the Institute of Environmental Science and Research (a government science institute), Hokianga Health Enterprise Trust (a local community owned health service) and the Hokianga community.

Material resources for transdisciplinary research

January 7, 2022December 13, 2016

By Chris Riedy

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’.

Powhiri: An indigenous example of collaboration from New Zealand

September 5, 2024December 8, 2016

By Rawiri Smith

Collaboration is important in New Zealand as a method of bringing communities together to work on complex problems. A useful collaborative model is the Powhiri, practiced by Maori, the indigenous people of New Zealand, for hundreds of years.

The formal welcome to an area in New Zealand is a Maori process known as the Powhiri. The Powhiri recognises the mana of all the participants. One of the most important values of the Maori people is manaaki, or caring for the mana of everyone. The Maori word mana means the importance associated with a person. The performance of a Powhiri acknowledges the importance of a person being welcomed to an area.

The deeper meaning behind the Powhiri process gives more meaning and indicates what should be occurring through the Powhiri.

Four simple questions for navigating the knowledge mobilisation swamp

January 7, 2022December 6, 2016

By Vicky Ward

How can knowledge mobilisers – people who move knowledge into action – make sense of diverse definitions, navigate through the fragmented literature and better describe their work? It all starts with a few simple questions…

Over the past 15-20 years, research and practical activity focusing on how knowledge can be better shared and used has grown at what sometimes seems like an alarming rate. For many, the diverse range of literature, terminology, models and tools can seem overwhelming and bewildering. In 2010, for example, McKibbon and colleagues identified 100 different terms used to describe the activities and processes involved in linking knowledge and practice (McKibbon et al., 2010). And in 2014 Huw Davies and colleagues found 71 substantial reviews of research literature on this topic across health, social care and education (Davies et al., 2015).

The strength of failing (or how I learned to love ugly babies)

April 9, 2026December 1, 2016

By Randall J. Hunt

randall-hunt — Randall J. Hunt (biography)

How to give others your hard-won insights so that their work can be more informed, efficient, and effective? As I’ve gotten older, it is something that I think about more.

It is widely recognized that the environment is an integrated but also “open” system. As a result, when working with issues relating to the environment we are faced with the unsatisfying fact that we won’t know “truth”. We develop an understanding that is consistent with what we currently know and what we consider state-of-the-practice methods. But, we can never be sure that more observations or different methods would not result in different insights.

Storytelling ethnography as a way of doing transdisciplinary research

September 11, 2024November 29, 2016

By Jane Palmer

Storytelling ethnography is a valuable tool if your research traverses several disciplines and aims for insights that transcend all of them. Stories not only integrate knowledge from diverse disciplines, but can also “change the way people act, the way they use available knowledge” (Griffiths 2007).

The special qualities of transdisciplinarity are:

its potential for integrative inquiry and emergent solutions,
its engagement with community and other non-academic knowledges, and
the breadth of its outcomes for researchers, participants and the wider community.

These are also qualities of what I call storytelling ethnography.

Advocate or Honest Broker?

November 30, 2022November 22, 2016

By Gabriele Bammer

To mark the first anniversary of the Integration and Implementation Insights blog, we launch an occasional series of “synthesis blog posts” drawing insights across blog posts on related topics.

What is our social obligation as researchers to see our findings implemented? And how should we do it? When is it appropriate to advocate loudly to drive change? When should we focus on informing decision makers, stepping back ourselves from direct action? How can we know that our research is ‘good enough’ to act on and not compromised by our own values, interests, cognitive biases and blind spots?