Integration and Implementation Insights

A governance compass

September 5, 2024September 20, 2016

By Tim Gieseke

How can we better understand governance when dealing with complex social and environmental issues? Here I describe a set of concepts that I have found useful — a governance compass. The aim is to provide guidance for organizations to align partnerships, accountability, equity, ownership and value at the ‘point of service’. The ‘point of service’ varies. For human health, it is the patient. In life-long learning, it is the professional. In agriculture sustainability, it is the landscape.

The governance compass identifies governance actors and their roles; governance styles and how they combine into a footprint; and finally how these combine with tasks into a governance framework. Although the compass has been developed for agricultural issues, it has broader relevance.

Participatory processes and participatory modelling: The sustainable procedure framework

August 24, 2022September 15, 2016

By Beatrice Hedelin

How can we resolve debates about participatory processes between proponents and skeptics? What role can participatory modelling play in improving participatory processes?

Proponents argue for the merits of participatory processes, which include learning; co-production of knowledge; development of shared understanding of a problem and shared goals; creation of trust; and local power and ownership of a problem.

Sceptics point to evidence of inefficient, time-consuming, participatory processes that escalate conflict and mistrust. They also highlight democratic problems; lack of transparency; and powerful actors that benefit in relation to weaker ones such as the unorganized, poor, and uneducated.

Harnessing analogies for creativity and problem solving

November 2, 2023September 13, 2016

By Christian Schunn

What is an analogy? How can analogies be used to work productively across disciplines in teams?

We know from the pioneering work of Kevin Dunbar (1995), in studying molecular biology labs, that analogies were a key factor in why multidisciplinary labs were much more successful than labs composed of many researchers from the same backgrounds. What is it about analogies that assists multi- and interdisciplinary work?

The advice that follows comes from a decade of research involving intensive analyses of hundreds of hours of interdisciplinary science and engineering teams, following the minute-by-minute processes of the teams, and using advanced statistical techniques to look for robust patterns in behavior over time and across teams. In general, our research has shown that creative teams generate twice as many ideas per unit time when they use analogies than when they do not.

So, what is an analogy?

Where are the stakeholders in implementation science?

August 24, 2022September 8, 2016

By Allison Metz and Annette Boaz

authors_allison-metz_annette-boaz — 1. Allison Metz (biography)
2. Annette Boaz (biography)

Should implementation science make more room for consultation, collaboration and co-creation with stakeholders? Would finding more active roles for stakeholders in implementation science be a promising approach to increasing the use of research evidence for improvements in policy and services?

The goal of implementation science is to promote the sustainable implementation of research evidence at scale to improve population outcomes, especially in health and human services. Nevertheless, the mobilization of research evidence on the frontlines of health and human services has been quite limited, especially in public agencies serving the vast majority of consumers.

Integration – Part 2: The “how”

September 5, 2024September 6, 2016

By Julie Thompson Klein

The “how” of integration focuses on pragmatics of process, with emphasis on methods. Toward that end, following the part 1 blog post on the “what” of integration, this blog post presents insights from major resources, with emphasis on collaborative research by teams.

Some widely used methods are well-known theories, for example general systems. Others are practiced in particular domains, such as integrated environmental assessment. Some utilize technologies, for example computer synthesis of data. And others, such as dialogue methods, target communication processes.

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.