Integration and Implementation Insights

Who sets the rules around co-creation?

November 29, 2023September 1, 2016

By Lorrae van Kerkhoff

When we talk about co-creation, co-production, and co-design as exciting and productive alternative ways of approaching collaboration, it often doesn’t take too long for the conversation to turn to the challenges. Barriers, roadblocks, and disincentives appear and are lamented, or perhaps we celebrate that they have been overcome in a research-practice equivalent of the triumph of good over evil.

For every project the triumph may look a bit different – from the support an innovative funding agency, to a policy-maker or practitioner who understood the value of research, to the dedication, energy and sheer persistence of people who enjoy working together – the solutions are many and multi-faceted. These achievements should indeed be celebrated, and the lessons from them should be harvested.

But is there more to this story?

Integration – Part 1: The “what”

September 5, 2024August 30, 2016

By Julie Thompson Klein

Integration lies at the heart of inter- and transdisciplinarity. Klein & Newell (1996) call it the “acid test” of interdisciplinarity, and Pohl, van Kerkhoff, Hirsch Hadorn, & Bammer (2008) consider it “the core methodology underpinning the transdisciplinary research process.”

What exactly, though, is integration?

This blog post answers that question while identifying key resources.

Making predictions under uncertainty

August 24, 2022August 25, 2016

By Joseph Guillaume

Prediction under uncertainty is typically seen as a daunting task. It conjures up images of clouded crystal balls and mysterious oracles in shadowy temples. In a modelling context, it might raise concerns about conclusions built on doubtful assumptions about the future, or about the difficulty in making sense of the many sources of uncertainty affecting highly complex models.

However, prediction under uncertainty can be made tractable depending on the type of prediction. Here I describe ways of making predictions under uncertainty for testing which conclusion is correct. Suppose, for example, that you want to predict whether objectives will be met. There are two possible conclusions – Yes and No, so prediction in this case involves testing which of these competing conclusions is plausible.

Why are interdisciplinary research proposals less likely to be funded? (Reblog)

September 5, 2024August 23, 2016

By Gabriele Bammer

The first empirical support for a long-standing complaint by interdisciplinary researchers was recently published in the leading journal Nature. The Australian National University’s Lindell Bromham, Russell Dinnage and Xia Hua showed that interdisciplinary research is less likely to be funded than discipline-based research proposals (Nature, 534, 684–687 (30 June), DOI: 10.1038/nature18315).

They cleverly applied a technique from evolutionary biology that examines relatedness between biological lineages, using a hierarchical classification of research fields rather than an evolutionary tree. The relative representation of different field of research codes and their degree of difference were used as a proxy measure for interdisciplinarity.

The results, based on 5 years of data from the Australian Research Council’s Discovery program, are robust and are unaffected when number of collaborators, primary research field and type of institution are taken into account.

What does it mean?

Advice to graduate students on becoming “translational”

February 11, 2025August 18, 2016

By Alexis Erwin

author_alexis-erwin — Alexis Erwin (biography)

In an earlier post on this blog, Mark Brunson posed the questions: How does an ecologist become “translational”? What training is needed to venture beyond the lab or university and to engage with the potential beneficiaries or users of research? Here I offer my own thoughts as someone who started working to “become translational” halfway through a traditional ecology Ph.D. program.

Although the focus of this blog post is on translational ecology and on specific resources for graduate students in the U.S., I suggest the ideas are more widely applicable.

Two frameworks for scoping

September 5, 2024August 16, 2016

By Gabriele Bammer

How can all the possibilities for understanding and acting on a complex social or environmental problem be elucidated? How can a fuller appreciation of both the problem and the options for tackling it be developed, so that the best approach to dealing with it can be identified? In other words, how can a problem be scoped?

The point of scoping is to illuminate a range of options. It moves those dealing with the complex problem beyond their assumptions and existing knowledge to considering the problem and the possibilities for action more broadly.

Practicalities, however, dictate that everything cannot be included, so that scoping is inevitably followed by boundary setting.

Social science identities in interdisciplinary research and education

September 5, 2024August 11, 2016

By Eric Toman

What does it mean to include ‘a social scientist’ in a team tackling complex problems? Here I focus on complex environmental problems and how biophysical and social scientists work together. I’m curious if social scientists face the same issues in other problem areas, such as health.

Things have improved since my early academic career, when I was often asked to justify why a social scientist deserved a seat at the table when discussing environmental questions. It seemed that even supportive natural scientists were motivated to engage their social science colleagues only to ‘fix’ some type of problem caused by people (e.g., politicians, decision-makers, managers, the “general public”).

While it’s now normal for social scientists to be included, they tend to be lumped together, unlike the biophysical scientists who are differentiated into a range of disciplines with relevant specialization areas.

A process model for teaching interdisciplinary research

September 5, 2024August 9, 2016

By Machiel Keestra

How can we effectively teach interdisciplinary research to undergraduate and masters students? What is needed to encompass research ranging from cultural analysis of an Etruscan religious symbol to the search for a sustainable solution for tomato farming in drying areas? Given that there is no predetermined set of theories, methods and insights, as is the case with disciplinary research, what would an interdisciplinary textbook cover? How can such a textbook accommodate the fact that interdisciplinary research usually requires students to collaborate with each other, for which they also need to be able to articulate their own cognitive processes? Understandably, a textbook for interdisciplinary research must focus in a rather general sense on the process implied in such research.

In teaching more than 15 cohorts of undergraduate and masters students at the Institute for Interdisciplinary Studies (IIS) at the University of Amsterdam, who are conducting research projects in interdisciplinary teams and with a strong emphasis on empirical research, we have developed an IIS model. This model is arranged in four research phases: orientation, preparation, data (collection and analysis) and finalization. The key tasks in each phase are summarised in the following figure.

Creativity in co-creation

September 5, 2024August 4, 2016

By Annette Boaz

Twenty years ago, at one of the first research workshops I held for stakeholders, a participant from the local community put up his hand and asked when we were going to start making something. I obviously looked confused so he picked up the workshop flyer and pointed to the word ‘workshop.’ “You make things in workshops don’t you?” he asked.

At the time, I took this as a lesson in choosing your terminology with care when working with diverse groups of stakeholders. However, on looking back I wonder if I missed something else. Was I so pre-occupied with my own standard practices of meetings that I failed to see that his comment might have been as much about my ways of working as my choice of words?

Fast forward to our first meeting of the SESYNC Co-creative Capacity pursuit in April 2016 in beautiful Annapolis, Maryland, USA. We are talking about co-creating knowledge for service improvement, but are we about to fall in to the trap of developing ‘business as usual’ approaches drawn from our own professional practices? However, the conversation takes a turn and we are talking about drama, art, dance and (in my case) building with LEGO.

In praise of multidisciplinarity

September 5, 2024August 2, 2016

By Gabriele Bammer

What characterizes multidisciplinary research? When is it most appropriate? What does it take to do it well? Multidisciplinarity often gets a bad rap, being seen as less sophisticated than interdisciplinarity and transdisciplinarity. But does it have its own important role in dealing with complex social and environmental problems?

Multidisciplinary research has two primary characteristics:

different disciplines independently shine their light on a particular problem, and
synthesis happens at the end and can be undertaken by anyone.

Unlike interdisciplinary and transdisciplinary research, there is no attempt to agree upfront on either a problem definition or on how the different perspectives will be brought together.

Is co-creation more than participation?

September 5, 2024July 28, 2016

By Katrin Prager

Co-creation, and related terms like co-design, co-production, co-construction and co-innovation, are becoming increasingly popular. Upon closer scrutiny they share many characteristics with participatory processes. Is there a difference between the two – co-creation and participation – and if yes, what is it?

Let us first look at participation. Not all participatory processes are the same. They differ with regard to who is involved, who initiated the process and for what reason, the anticipated outcomes, the duration, the context in which it takes place, and who has control over the process and outcomes.

Training translational ecologists: Moving from accidental to intentional

June 25, 2025July 26, 2016

By Mark Brunson

How does an ecologist become translational? What training is needed to venture beyond the lab or university and to engage with the potential beneficiaries or users of their research? To communicate with (and listen to) a lay audience, advise policymaking processes, initiate a citizen science project, or involve stakeholders in the design, analysis, and interpretation of research?

William Schlesinger (2010), in coining the term translational ecology, warned that “[u]nless the discoveries of ecological science are rapidly translated into meaningful actions, they will remain quietly archived while the biosphere degrades.”