Methods – Page 3 – Integration and Implementation Insights

A tool for transforming resistance to insights in decision-making

October 23, 2024November 30, 2021

By Gemma Jiang

author_gemma-jiang — Gemma Jiang (biography)

Do you encounter resistance from your team members, especially in regard to difficult decisions? How might decision-making processes be better facilitated to generate insights instead of resistance?

I describe a conceptual framework and an accompanying practical tool from Lewis Deep Democracy (2021) that can transform resistance to insights in decision-making processes.

The conceptual framework: Understanding how decision making generates resistance

It is important first to understand the consciousness of a team. If you think of a team’s consciousness as an iceberg, the ideas and opinions that are expressed are the conscious part above the waterline, while those that are not expressed are the unconscious part below the waterline.

How can social network analysis benefit transdisciplinary research?

February 27, 2026September 9, 2021

By Leonhard Späth, Rea Pärli and the RUNRES project team

authors_leonhard_spath_rea-parli_RUNRES-project — 1. Leonhard Späth (biography)
2. Rea Pärli (biography)
3. RUNRES Project Team (participants)

Can we observe in a more analytical way how transdisciplinarity “happens”? How useful is social network analysis in transdisciplinary work, especially for uncovering the role of relationship structures? How can transdisciplinary concepts be used to map connections between those involved in transdisciplinary research?

A very brief introduction to social network analysis

Social network analysis is the study of connections between different people or any other social entity involved in the topic under investigation (referred to as actors), as well as the patterns of those connections and the distribution of the ties among actors.

There are many ways to conduct a social network analysis.

Give-and-take matrix for transdisciplinary projects

June 19, 2025August 10, 2021

By Michael Stauffacher and Sibylle Studer

authors_michael-stauffacher_sibylle-studer — 1. Michael Stauffacher (biography)
2. Sibylle Studer (biography)

Transdisciplinary research projects often have multiple components, including sub-projects that involve co-production with various stakeholders, more standard discipline-based pieces gathering specific understandings of the problem, and investigations into options for transforming the problem situations.

How can the individual parts of transdisciplinary research projects be effectively aligned? How can interactions and integration within the whole research team be improved? What’s needed to make mutual expectations explicit and to identify possibilities for further collaboration?

The give-and-take matrix provides a structured process to:

Gradients of agreement for democratic decision-making

January 30, 2024May 25, 2021

By Hannah Love

How does your team make decisions? Do you vote? Does the loudest voice usually win? Does everyone on the team generally feel heard? Does your team have a charter to provide guidance? Or maybe there is often just silence and the team assumes agreement?

The next time your team makes a decision, here is something new you can try! Kaner (2014) proposes using a gradients of agreement scale. The gradients of agreement, also known as the consensus spectrum, provides an alternative to yes/no decision-making by allowing everyone to mark their response along a continuum, as shown in the figure below.

What are the gradients of agreement and the benefits of using them?

This is a tool to support democratic decision-making. The gradients of agreement has a scale with numbers (1-8) and short descriptions.

How systems thinking enhances systems leadership

November 29, 2023April 13, 2021

By Catherine Hobbs and Gerald Midgley

authors_catherine-hobbs_gerald-midgley — 1. Catherine Hobbs (biography)
2. Gerald Midgley (biography)

Systems leadership involves organisations, including governments, collaborating to address complex issues and achieve necessary systemic transformations. So, if this is the case, how can systems leadership be helped by systems thinking?

Systems leadership is concerned with facilitating innovation by bringing together a network of organisations. These then collaborate between themselves and with other stakeholders to deliver some kind of service, influence a policy outcome or develop a product that couldn’t have been achieved by any one of the organisations working alone.

Recognising that a network of organisations can achieve something that emerges from their interactions involves a certain amount of implicit systems thinking. After all, the classic definition of a ‘system’ is an identifiable collection of two or more parts that has properties, or achieves outcomes, that can only be attributed to all of the parts interacting, not any one of the parts in isolation.

Responding to unacknowledged disciplinary differences with the Toolbox dialogue method

October 18, 2023March 2, 2021

By Graham Hubbs, Michael O’Rourke, Steven Hecht Orzack

authors_graham-hubbs_michael-orourke_steven-hecht-orzack — 1. Graham Hubbs (biography)
2. Michael O’Rourke (biography)
3. Steven Hecht Orzack (biography)

Have you collaborated with people on a complex project and wondered why it is so difficult? Perhaps you’ve asked yourself, “Do my collaborators even conceive of the project and its goals in the way I do?” Projects involving collaborators from different disciplines or professions seem almost ready made to generate this kind of bewilderment. Collaborators on cross-disciplinary projects like these often ask different kinds of questions and pursue different kinds of answers.

This confusion can bedevil cross-disciplinary research. The allure of such research is its promise of solving complex problems by bringing together a variety of perspectives that when combined lead to solutions that any one perspective would fail to find.

Breaking through disciplinary barriers with practical mapping

January 10, 2023June 9, 2020

By Steven E. Wallis and Bernadette Wright

author_steven-wallis_and_bernadette-wright — 1. Steven E. Wallis (biography)
2. Bernadette Wright (biography)

How can practical mapping help develop interdisciplinary knowledge for tackling real-world problems — such as poverty, justice and health — that have many causes? How can it help take into account political, economic, technological and other factors that can worsen or improve the issues?

Maps are useful because they show your surroundings – where things are in relation to each other (and to you). They show the goals we want to achieve and what it takes to get there.

‘Practical mapping’ is a straight-forward approach for using concepts and connections to integrate knowledge across and between disciplines, to support effective action.

Providing a richer assessment of research influence and impact

August 11, 2023April 14, 2020

By Gabriele Bammer

author - gabriele bammer — Gabriele Bammer (biography)

How can we affirm, value and capitalise on the unique strengths that each individual brings to interdisciplinary and transdisciplinary research? In particular, how can we capture diversity across individuals, as well as the richness and distinctness of each individual’s influence and impact?

In the course of writing ten reflective narratives (nine single-authored and one co-authored), eleven of us stumbled on a technique that we think could have broader utility in assessing influence and impact, especially in research but also in education (Bammer et al., 2019).We wrote the reflective narratives for a special issue on Julie Thompson Klein’s academic work, in our case especially her impact in Australia and New Zealand. (A taste of Klein’s work can be found in her contributions to this i2Insights blog.)

The process of writing the reflective narratives was unstructured, with each of us writing as much or as little as we wished on whatever aspect of Klein’s work had resonated with us.

Theory U: A promising journey to embracing unknown unknowns

November 20, 2025February 25, 2020

By Vanesa Weyrauch

author-venesa-weyrauch — Vanesa Weyrauch (biography)

How can we best live in a VUCA (volatile, uncertain, complex and ambiguous) world? How can we shift from a worldview that looks to predict and control what is to be done through plans and strategies to being present and flexible in order to respond effectively as unexpected changes take place? How can we be open to not knowing what will emerge and embrace uncertainty as the opportunity to co-create and learn?

One powerful and promising way forward is Theory U, a change methodology developed by Otto Scharmer and illustrated below. Scharmer introduced the concept of “presencing”—learning from the emerging future. The concept of “presencing” blends “sensing” (feeling the future possibility) and “presence” (the state of being in the present moment). It acknowledges that we don’t know the answers. Staying at the bottom of the U until the best potential future starts emerging requires embracing uncertainty as fertile soil.

Designing scenarios to guide robust decisions

April 4, 2023July 2, 2019

By Bonnie McBain

What makes scenarios useful to decision makers in effectively planning for the future? Here I discuss three aspects of scenarios:

goals;
design; and,
use and defensibility.

Goals of scenarios

Since predicting the future is not possible, it’s important to know that scenarios are not predictions. Instead, scenarios stimulate thinking and conversations about possible futures.

Key goals and purposes of scenarios can be any of the following:

Agent-based modelling for knowledge synthesis and decision support

September 11, 2024June 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).

Managing uncertainty in decision making: What can we learn from economics?

August 11, 2023June 4, 2019

By Siobhan Bourke and Emily Lancsar

authors_siobhan-bourke_emily-lancsar — 1. Siobhan Bourke (biography)
2. Emily Lancsar (biography)

How can researchers interested in complex societal and environmental problems best understand and deal with uncertainty, which is an inherent part of the world in which we live? Accidents happen, governments change, technological innovation occurs making some products and services obsolete, markets boom and inevitably go bust. How can uncertainty be managed when all possible outcomes of an action or decision cannot be known? In particular, are there lessons from the discipline of economics which have broader applicability?

While uncertainty is often discussed alongside risk, a fundamental difference between uncertainty and risk is that risk involves events with known probabilities (or probabilities based on reliable empirical evidence), whereas under uncertainty probabilities are unknown and reflect an individual’s subjective belief concerning the likelihood of a given outcome. Given the subjectivity, that likelihood can differ from person to person. It can also involve a perceived zero probability in the case of unforeseen events (or ‘unknown unknowns’).