Processes – Page 29 – Integration and Implementation Insights

A co-creation challenge: Aligning research and policy processes

August 24, 2022October 13, 2016

By Katrin Prager

How does the mismatch between policy and research processes and timelines stymie co-creation? I describe an example from a project in Sachsen-Anhalt state in Germany, along with lessons learnt.

The project, initiated by researchers, aimed to use a more participatory approach to developing agri-environmental schemes, in order to improve their effectiveness. Officers from the Agricultural Payments department of the Sachsen-Anhalt Ministry for Agriculture were invited to participate in an action research project that was originally conceived to also involve officers from the Conservation department of the same ministry, farmer representatives and conservation groups.

The ‘methods section’ in research publications on complex problems – Purpose

September 5, 2024October 11, 2016

By Gabriele Bammer

Do we need a protocol for documenting how research tackling complex social and environmental problems was undertaken?

Usually when I read descriptions of research addressing a problem such as poverty reduction or obesity prevention or mitigation of the environmental impact of a particular development, I find myself frustrated by the lack of information about what was actually done. Some processes may be dealt with in detail, but others are glossed over or ignored completely.

For example, often such research brings together insights from a range of disciplines, but details may be scant on why and how those disciplines were selected, whether and how they interacted and how their contributions to understanding the problem were combined. I am often left wondering about whose job it was to do the synthesis and how they did it: did they use specific methods and were these up to the task? And I am curious about how the researchers assessed their efforts at the end of the project: did they miss a key discipline? would a different perspective from one of the disciplines included have been more useful? did they know what to do with all the information generated?

Should I trust that model?

September 15, 2023October 6, 2016

By Val Snow

How do those building and using models decide whether a model should be trusted? While my thinking has evolved through modelling to predict the impacts of land use on losses of nutrients to the environment – such models are central to land use policy development – this under-discussed question applies to any model.

In principle, model development is a straightforward series of steps:

• Specification: what will be included in the model is determined conceptually and/or quantitatively by peers, experts and/or stakeholders and the underlying equations are decided

• Coding: the concepts and equations are translated into computer code and the code is tested using appropriate software development processes

Creating a pragmatic complexity culture / La creación de una cultura pragmática de la complejidad

August 24, 2022September 29, 2016

By Cristina Zurbriggen

An English version of this post is available

¿Cómo pueden los gobiernos, las comunidades y el sector privado efectivamente trabajar juntos para lograr un cambio social hacia el desarrollo sostenible?

En este blog describo los procesos claves que permitieron a Uruguay lograr uno de los regímenes más avanzados de protección del suelo de tierras de cultivo de secano en el mundo. Una explicación del proceso es la creación de una cultura pragmática de la complejidad, una cultura inclusiva, deliberativa que reconoce la naturaleza compleja del problema y abraza el potencial de lo posible.

Five principles for achieving impact

September 5, 2024September 27, 2016

By Mark Reed

What key actions can help research have impact? Interviews with 32 researchers and stakeholders across 13 environmental management research projects lead to the five principles and key issues described below (Reed et al., 2014).

1. Design:

• Understand what everyone wants. This can help in managing expectations of different stakeholders and project members and identifying potential issues/problems early on.
• Understand the context of the project. Use local characteristics, traditions, norms and past experiences as a starting point for planning the project.
• Take your time. Knowledge exchange is time consuming if done properly.
• Design your knowledge exchange activities carefully. Spend time researching the context, the stakeholders, and possible approaches. Design for flexibility, get feedback, and adapt your plans to suit changing circumstances.

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.

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?

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.