Processes – Page 28 – Integration and Implementation Insights

The integrative role of landscape

July 4, 2024November 15, 2016

By David Brunckhorst, Jamie Trammell and Ian Reeve

authors_mosaic_david-brunckhorst_jamie-trammell_ian-reeve — 1. David Brunckhorst (biography)
2. Jamie Trammell (biography)
3. Ian Reeve (biography)

Landscapes are the stage for the theatre of human-nature interactions. What does ‘landscape’ mean and what integrative function does it perform?

What is landscape?

Consider a painting of a landscape or look out a window. We imagine, interpret and construct an image of the ‘landscape’ that we see. It’s not surprising that landscapes (like the paintings of them) are valued through human perceptions, and evolve through closely interdependent human-nature relationships. Landscapes are co-constructed by society and the biophysical environment. Landscape change is, therefore, a continuous reflection of the evolving coupled responses of environment and institutions. Landscapes are especially meaningful to those who live in them.

Collaboration, difference and busyness

November 30, 2022November 8, 2016

By Gabriele Bammer

What are the ingredients of successful research collaboration? How can we make collaboration work when we are all getting busier?

One of the best guides to success in collaborative team work was produced by Michelle Bennett, Howard Gadlin and Samantha Levine-Findlay in 2010. Built on the experience of researchers at the US National Institutes of Health, they explored: preparing for collaboration, selecting team members, fostering trust, sharing credit, handling conflict and more.

An additional way of thinking about collaboration that I have found useful (Bammer 2008) is to consider it as a process of harnessing and managing differences.

Model complexity – What is the right amount?

August 24, 2022November 3, 2016

By Pete Loucks

How does a modeler know the ’optimal’ level of complexity needed in a model when those desiring to gain insights from the use of such a model aren’t sure what information they will eventually need? In other words, what level of model complexity is needed to do a job when the information needs of that job are uncertain and changing?

Simplification is why we model. We wish to abstract the essence of a system we are studying, and estimate its likely performance, without having to deal with all its detail. We know that our simplified models will be wrong. But, we develop them because they can be useful. The simpler and hence the more understandable models are the more likely they will be useful, and used, ‘as long as they do the job.’

Problem framing and co-creation

August 24, 2022October 27, 2016

By Graeme Nicholas

How can people with quite different ways of ‘seeing’ and thinking about a problem discover and negotiate these differences?

A key element of co-creation is joint problem definition. However, problem definition is likely to be a matter of perspective, or a matter of how each person involved ‘frames’ the problem. Differing frames are inevitable when participants bring their differing expertise and experience to a problem. Methods and processes to support co-creation, then, need to manage the coming together of people with differing ways of framing the problem, so participants can contribute to joint problem definition.

Improving health care services through Experience-based Co-design

September 11, 2024October 20, 2016

By Glenn Robert and Annette Boaz

authors_glenn-robert_annette-boaz — 1. Glenn Robert (biography)
2. Annette Boaz (biography)

There is lots of talk about the potential of co-creation as an approach to improving public services, but what does it actually look like (and do) in practice?

We describe one specific approach that has been used extensively for improving the quality of health care services: Experience-based Co-design.

Key Features and Stages

Experience-based Co-design draws on elements of participatory action research, user-centred design, learning theory and narrative-based approaches to change.

The key features of Experience-based Co-design are that it:

places patients at the heart of a quality improvement effort working alongside staff to improve services
maintains a focus on designing experiences (not just systems or processes).

It has six stages.

Stage 1 involves establishing the governance and project management arrangements.

Six lessons about change that affect research impact

September 5, 2024October 18, 2016

By Gabriele Bammer

What do researchers need to know about change to help our research have greater impact? What kind of impact is it realistic to expect? Will understanding change improve the ways we assess research impact?

The six lessons described here illustrate some of the complexities inherent in understanding and trying to influence change.

#1. Research findings enter a dynamic environment, where everything is changing all the time

As researchers we often operate as if the world is static, just waiting for our findings in order to decide where to head next. Instead, for research to have impact, researchers must negotiate a constantly changing environment.

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.