Knowledge synthesis – Integration and Implementation Insights

Agent-based modelling for knowledge synthesis and decision support

January 21, 2020June 25, 2019

By Jen Badham

The most familiar models are predictive, such as those used to forecast the weather or plan the economy. However, models have many different uses and different modelling techniques are more or less suitable for specific purposes.

Here I present an example of how a game and a computerised agent-based model have been used for knowledge synthesis and decision support.

The game and model were developed by a team from the Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), a French agricultural research organisation with an international development focus. The issue of interest was land use conflict between crop and cattle farming in the Gnith community in Senegal (D’Aquino et al. 2003).

Agent-based modelling is particularly effective where understanding is more important than prediction. This is because agent-based models can represent the real world in a very natural way, making them more accessible than some other types of models.

Skilful conversations for integration

April 17, 2020November 6, 2018

By Rebecca Freeth and Liz Clarke

Interdisciplinary collaboration to tackle complex problems is challenging! In particular, interdisciplinary communication can be very difficult – how do we bridge the gulf of mutual incomprehension when we are working with people who think and talk so very differently from us? What skills are required when mutual incomprehension escalates into conflict, or thwarts decision making on important issues?

It is often at this point that collaborations lose momentum. In the absence of constructive or productive exchange, working relationships stagnate and people retreat to the places where they feel safest:

Six strategies to ensure policies are backed by evidence

December 30, 2019October 30, 2018

By Danielle Campbell and Gabriel Moore

What is the best way to ensure that policies are informed by the most relevant research evidence?

Six promising strategies emerged from a rapid review of the literature (Campbell and Moore 2018). Although our focus was on health policies, the findings are likely to be more broadly applicable. An important caveat is that the number of studies to investigate these issues is small and most are descriptive rather than testing strategies.

A checklist for documenting knowledge synthesis

April 17, 2020July 31, 2018

By Gabriele Bammer

How do you write-up the methods section for research synthesizing knowledge from different disciplines and stakeholders to improve understanding about a complex societal or environmental problem?

In research on complex real-world problems, the methods section is often incomplete. An agreed protocol is needed to ensure systematic recording of what was undertaken. Here I use a checklist to provide a first pass at developing such a protocol specifically addressing how knowledge from a range of disciplines and stakeholders is brought together.

KNOWLEDGE SYNTHESIS CHECKLIST

1. What did the synthesis of disciplinary and stakeholder knowledge aim to achieve, which knowledge was included and how were decisions made?

Synthesis of knowledge about participatory modeling: How a group’s perceptions changed over time

July 9, 2020July 3, 2018

By Rebecca Jordan

How do a group’s perceptions change over time, when members across a range of institutions are brought together at regular intervals to synthesize ideas? Synthesis centers have been established to catalyze more effective cross-disciplinary research on complex problems, as described in the blog post ‘Synthesis centers as critical research infrastructure‘, by Andrew Campbell.

I co-led a group synthesizing ideas about participatory modeling as one of the activities at the National Socio-Environmental Synthesis Center (SESYNC). We met in Annapolis, Maryland, USA, four times over three years for 3-4 days per meeting. Our task was to synthesize what is known about participatory modeling tools, processes, and outcomes, especially in environmental and natural resources management contexts.

Two types of interdisciplinary scholarship

April 16, 2020February 6, 2018

By Andi Hess

Would it be helpful to identify two distinct forms of interdisciplinary scholarship ― 1) individual interdisciplinarity and 2) interdisciplinary dialogue and team science ― and to make this distinction explicit in the literature? What are the benefits and challenges of each? Are a different set of resources and methods required to achieve effective interdisciplinary scholarship?

As integration scientists are aware, there are many analyses of appropriate methods for conducting interdisciplinary work. Each has its own benefits and challenges, and each requires a different set of resources and methods for achieving effective interdisciplinary scholarship.

Recognising interdisciplinary expertise

March 9, 2020December 5, 2017

By Gabriele Bammer

Could we overcome the challenges of embedding interdisciplinarity in the academic mainstream if relevant expertise were defined and recognized as a new discipline? What is this relevant expertise?

Here I consider team-based interdisciplinarity addressing complex societal and environmental problems and argue that it needs specific expertise over and above that contributed by disciplines. This set of knowledge and skills is currently poorly defined and recognized.

If contributing such know-how was an established role, it could provide a way of more adequately integrating interdisciplinary researchers into academic institutions. Furthermore, the time is ripe to codify that expertise by pulling together lessons from decades of experience.

Toolkits for transdisciplinary research

April 15, 2020July 25, 2017

By Gabriele Bammer

If you want to undertake transdisciplinary research, where can you find relevant concepts and methods? Are there compilations or toolkits that are helpful?

I’ve identified eight relevant toolkits, which are described briefly below and in more detail in the journal GAIA’s Toolkits for Transdisciplinarity series.

One toolkit provides concepts and methods relevant to the full range of transdisciplinary research, while the others cover four key aspects: (i) collaboration, (ii) synthesis of knowledge from relevant disciplines and stakeholders, (iii) thinking systemically, and (iv) making change happen.

Two barriers to interdisciplinary thinking in the public sector and how time graphs can help

March 9, 2020December 21, 2016

By Jane MacMaster

After one year or so delivering seminars that share practical techniques to help navigate complexity to public sector audiences, I’ve observed two simple and fundamental barriers to dealing more effectively with complex, interdisciplinary problems in the public sector.

First, is the lack of time to problem-solve – to pause and reflect on an issue, to build a deeper understanding of it, to think creatively about it from different angles, to think through some ideas, to test out some ideas. There is too much else going on.

Second, is that it’s often quite difficult to put one’s collective finger on what, exactly, the problem is.

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

April 17, 2020October 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?