Integration in inter- and transdisciplinary research: how can the leadership challenges be addressed?

By Lisa Deutsch and Sabine Hoffmann

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1. Lisa Deutsch (biography)
2. Sabine Hoffmann (biography)

How can the integration required in large inter- and transdisciplinary programs be effectively led? What challenges do leaders of integration in such programs face and how can they address them? What are the particular challenges in using a theory of change as an integrative tool?

We describe five key challenges that we encountered when leading the integration for a large 10-year inter- and transdisciplinary research program, which explored novel non-grid water and sanitation systems that can function as comparable alternatives to conventional large network-based systems. We experienced these challenges when applying the tool Theory of Change to facilitate communication, collaboration and integration among the team members (for more on theory of change see the i2Insights contribution by Heléne Clark). We also share the strategies we employed to address these challenges. The lessons we developed are likely to be applicable to other inter- and transdisciplinary research programs.

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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.

Forming a team, especially one made up of folks with diverse backgrounds, creates the challenge of managing the interaction of multiple values.

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A tool for transforming resistance to insights in decision-making

By Gemma Jiang

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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. If decisions are made based only on the team’s expressed ideas and opinions, those below the waterline will likely form resistance. This is often what happens with “majority rules” democracy.

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Gradients of agreement for democratic decision-making

By Hannah Love

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Hannah Love (biography)

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.

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What’s required for universities to address complex societal challenges?

By David D. Hart and Linda Silka

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1. David D. Hart (biography)
2. Linda Silka (biography)

How can universities use their broad array of expertise to help in understanding and addressing complex challenges, including pandemics, environmental degradation, poverty and climate change?

For more than a decade, we have been engaged in an innovative collaboration with more than 200 faculty from nearly 30 academic disciplines to align university research with societal needs. We conceived of this initiative as an “institutional experiment,” in which our public university in the US state of Maine served as the “laboratory.”

Given Maine’s priorities and our collective expertise, we focused these problem-solving efforts on the challenge of sustainable development, which requires a dual focus on improving human well-being and protecting the environment. We created a diverse portfolio of projects on, for example, fisheries, forests, food insecurity, renewable energy, and climate adaptation.

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Guiding collaborative conversations and connections with probing questions

By Yulia A. Strekalova and Wayne T. McCormack

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1. Yulia A. Strekalova (biography)
2. Wayne T. McCormack (biography)

How can we ignite discovery conversations and foster open, psychologically safe conversations among researchers from different disciplines who have not met previously?

This blog post is based on the findings of a workshop with pre-doctoral trainees (Strekalova and McCormack 2020), but is likely to have broader relevance. The workshop was structured around the initial steps of Strategic DoingTM (Morrison et al., 2019), a disciplined approach to facilitating complex collaborative projects. The conversations in the room progressed by addressing five key PROBE-Action questions.

Question 1. What personal expertise and interests are represented in the room?

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Using discomfort to prompt learning in collaborative teams

By Rebecca Freeth and Guido Caniglia

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1. Rebecca Freeth (biography)
2. Guido Caniglia (biography)

We know that reflecting can make a marked difference to the quality of our collective endeavour. However, in the daily busyness of inter- and trans- disciplinary research collaborations, time for reflection slides away from us as more immediate tasks jostle for attention. What would help us put into regular practice what we know in theory about prioritising time to reflect and learn?

Discomfort sometimes provides the necessary nudge in the ribs that reminds us to keep reflecting and learning. The discomfort of listening to the presentation of a colleague you like and respect, but having very little idea what they’re talking about.

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Embracing tension for energy and creativity in interdisciplinary research

By Liz Clarke and Rebecca Freeth

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1. Liz Clarke (biography)
2. Rebecca Freeth (biography)

Tensions inevitably arise in inter- and transdisciplinary research. Dealing with these tensions and resulting conflicts is one of the hardest things to do. We are meant to avoid or get rid of conflict and tension, right? Wrong!

Tension and conflict are not only inevitable; they can be a source of positivity, emergence, creativity and deep learning. By tension we mean the pull between the seemingly contradictory parts of a paradox, such as parts and wholes, stability and chaos, and rationality and creativity.

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Skilful conversations for integration

By Rebecca Freeth and Liz Clarke

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1. Rebecca Freeth (biography)
2. Liz Clarke (biography)

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: their own disciplines, their offices, or the colleagues who are on their ‘side’. As a consequence, prospects for meaningful collaboration and integration dwindle.

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Collaboration and team science: Top ten take aways

By L. Michelle Bennett and Christophe Marchand

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L. Michelle Bennett (biography)

What are the key lessons for building a successful collaborative team? A new version of the Collaboration and Team Science Field Guide (Bennett et al., 2018) provides ten top take aways:

1. TRUST
It is almost impossible to imagine a successful collaboration without trust. Trust provides the foundation for a team. Trust is necessary for establishing other aspects of a successful collaboration such as psychological safety, candid conversation, a positive team dynamic, and successful conflict management.

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What can interdisciplinary collaborations learn from the science of team science?

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Suzi Spitzer (biography)

By Suzi Spitzer

How can we improve interdisciplinary collaborations? There are many lessons to be learned from the Science of Team Science. The following ten lessons summarize many of the ideas that were shared at the International Science of Team Science Conference in Galveston, Texas, in May 2018.

1. Team up with the right people
On the most basic level, scientists working on teams should be willing to integrate their thoughts with their teammates’ ideas. Participants should also possess a variety of social skills, such as negotiation and social perceptiveness. The most successful teams also encompass a moderate degree of deep-level diversity (values, perspectives, cognitive styles) and include women in leadership roles.

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Interdisciplinarity and evil – Understanding incommensurability

By J. Britt Holbrook

J. Britt Holbrook (biography)

Incommensurability is a recognized problem in interdisciplinary research. What is it? How can we understand it? And what can we do about it?

What is it?

Incommensurability is best illustrated by a real example. I once co-taught a class with a colleague from another discipline. Her discipline depends on empirical analysis of data sets, literally on counting things. I, on the other hand, am a philosopher. We don’t count. One day she said to our students, “If you don’t have an empirical element in what you’re doing, it’s not research.” I watched the students start nodding, paused for half a beat, and volunteered, “So, I’ve never done any research in my entire career.” “That’s right!” she replied, immediately, yet hesitating somewhere between a discovery and a joke.

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