Methods

Keyword quiz: an icebreaker method for interdisciplinary teams

By Sebastian Rogga and Anton Parisi

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1. Sebastian Rogga (biography)
2. Anton Parisi (biography)

How can members of interdisciplinary teams quickly gain a better understanding of each other’s thematic preferences and skills in a way that is also engaging and fun?

We have developed a “keyword quiz” icebreaker method to facilitate exchange between members of interdisciplinary teams, especially between people who are not complete strangers to each other but are collaborating in a project context for the first time.

In brief, the idea is to communicate each member’s scientific profile based on keywords from publications that the team members have published and that they have selected based on specific categories.

The keywords of a publication are presented visually to the whole group and the team members then guess, in the form of a quiz, which team member published the associated publication.

After the author has been revealed, they share the reasons for choosing the publication.

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Seven methods for mapping systems

By Pete Barbrook-Johnson and Alexandra S. Penn

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1. Pete Barbrook-Johnson (biography)
2. Alexandra S. Penn (biography)

What are some effective approaches for developing causal maps of systems in participatory ways? How do different approaches relate to each other and what are the ways in which systems maps can be useful?

Here we focus on seven system mapping methods, described briefly in alphabetical order.

1. Bayesian Belief Networks: a network of variables representing their conditional dependencies (ie., the likelihood of the variable taking different states depending on the states of the variables that influence them). The networks follow a strict acyclic structure (ie., no feedbacks), and nodes tend to be restricted to maximum two incoming arrows. These maps are analysed using the conditional probabilities to compute the potential impact of changes to certain variables, or the influence of certain variables given an observed outcome.

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Externalizing implicit expectations and assumptions in transdisciplinary research

By Verena Radinger-Peer, Katharina Gugerell and Marianne Penker

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1. Verena Radinger-Peer (biography)
2. Katharina Gugerell (biography)
3. Marianne Penker (biography

How can implicit expectations and assumptions of team members in transdisciplinary research collaborations be identified?

We used Q-methodology as a tool to make diverse expectations and perceptions of transdisciplinary research collaborations tangible and thus negotiable.

Q-methodology is an established explorative, semi-quantitative method for investigating distinctive viewpoints of a given population based on inverted factor analysis. While we do not explain Q methodology here, it is increasingly used and we refer those who want to find out more to Watts and Stenner (2012).

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Improving cross-disciplinary collaboration with strategy knotworking and ecocycle planning

By Nancy White

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Nancy White (biography)

How can cross-disciplinary teams improve their project results and cross-team learning, especially when they are part of a portfolio of funded projects?

I have worked with cross disciplinary teams in international agriculture development, ecosystems management and mental health. For the most part, these are externally funded initiatives and have requirements both for results (application of the work) and for cross-team learning. Often there is not useful clarity about how funder and grantee agendas work in sync. And there is rarely opportunity or support for shared optimization and exploration across different portfolios of funded work.

I have used the six knotworking questions plus ecocycle planning from Liberating Structures to make it possible for a group to look back critically, assess the current state, and prospectively generate options to move forward.

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Dealing with differences in interests through principled negotiation

By Gabriele Bammer

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Gabriele Bammer (biography)

How can the interests of a diverse group of researchers and stakeholders tackling a complex societal problem be understood and managed?

Interests arise when a person has a stake in something and stands to gain or lose depending on what happens to that something:

  • researchers commonly have a stake in advancing their work and careers,
  • stakeholders affected by a societal problem generally have a stake in improving the problem, and
  • stakeholders in a position to do something about a problem generally have a stake in improving outcomes for the problem through their sphere of influence.

Interests relate not only to personal conditions or stakes (self-interest), but also to principles such as reducing inequities and promoting justice.

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Creative destruction

By Keith McCandless

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Keith McCandless (biography)

My favorite part of working with groups is helping people notice and stop counterproductive behavior. We all have self-limiting individual and group behaviors. Of course, they are easier to spot in others than in ourselves. So, finding seriously fun ways to help people discover for themselves what they can stop doing is important.

I use an activity called TRIZ from Liberating Structures. The purpose of TRIZ is to:

  • Make it possible to speak the unspeakable and get skeletons out of the closet
  • Make space for innovation
  • Lay the ground for creative destruction by doing the hard work in a fun way
  • TRIZ may be used before or in place of visioning sessions
  • Build trust by acting all together to remove barriers.

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Multidisciplinary perspectives on unknown unknowns

By Gabriele Bammer

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Gabriele Bammer (biography)

This is part of a series of occasional “synthesis blog posts” drawing together perspectives on related topics across i2Insights contributions.

How can different disciplines and practitioners enhance the ability to understand and manage unknown unknowns, also referred to as deep uncertainty?

Seventeen blog posts have addressed these issues, covering:

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Ten dialogue methods for integrating judgments

By David McDonald, Gabriele Bammer and Peter Deane

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1. David McDonald (biography)
2. Gabriele Bammer (biography)
3. Peter Deane (biography)

What formal dialogue methods can assist researchers in synthesising judgments about a complex societal or environmental issue when a range of parties with different perspectives are involved? How can researchers decide which methods will be most suitable for their purposes?

We review ten dialogue methods. Our purpose is not to describe the dialogue methods in detail, but instead to review the circumstances in which each method is likely to be most useful in a research context, bearing in mind that most methods a) were not developed for research, b) can be applied flexibly and c) have evolved into different variations.

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Understanding diversity primer: 3. Perceptions of good research

By Gabriele Bammer

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How do different perceptions arise of what makes for ‘good’ research? How can researchers come to understand such differences and their impacts on how problems are framed, understood and responded to, as well as how they affect the ability of those contributing to the research to work together?

Differences arise because training in a discipline involves inculcating a specific way of investigating the world, including which types of questions are worth addressing; legitimate ways of gathering, analysing and interpreting data; standards for validation; and the role of values in the research process. Educating someone in a discipline aims to make the discipline’s specific approach to research ingrained and tacit.

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The MATRICx: Measuring motivation in science teams

By Gaetano R. Lotrecchiano

gaetano-lotrecchiano
Gaetano R. Lotrecchiano (biography)

What motivates scientists to work in teams? How can we measure motivation? Why should we be concerned about motivation in science teams?

Six domains of motivation for collaboration

Scientists and science stakeholders draw on different motivations to collaborate. The literature has discussed these motivations in different ways:

1. Advancing Science: Motivations to contribute to an agenda or the progression of research and science.

2. Building Relationships: Motivations to utilize resources and/or knowledge to establish or expand connections and one’s network of collaborators.

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Integrating context, formats and effects in transdisciplinary research

By tdAcademy 2021 GAIA paper authors

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Author biographies

What are the key aspects of transdisciplinary research and how can they be integrated effectively?

Four key aspects of transdisciplinary research are:

  • context dependencies
  • innovative formats
  • societal effects
  • scientific effects.

These are illustrated in the figure below, along with a summary of an ‘ideal’ transdisciplinary research process.

1. Context dependencies

Context dependencies are the factors that influence both the research design and the interpretation of results and include:

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Basic steps for dealing with problematic value pluralism

By Bethany Laursen, Stephen Crowley and Chad Gonnerman

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1. Bethany Laursen (biography)
2. Stephen Crowley (biography)
3. Chad Gonnerman (biography)

Have you ever been part of a team confronting a moral dilemma? Or trying to manage deep disagreements? For that matter, on a more down-to-earth level, how many times has your team tried to settle an agreed file naming convention? Many team troubles arise from value pluralism—members having different values or holding the same values in different ways. Below, we describe problematic value pluralism and suggest steps for dealing with it.

What are values, and how do they cause problems?

Here, we’re talking about a “value” as a desire (conscious or unconscious) that directs a person’s actions. It could be a guiding ideal or a whimsical preference, for example. Most of us have multiple values and over time we have organized them so that they provide us with guidance in most of the situations we encounter.

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