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Navigating inter- and transdisciplinary PhD supervision: Practical questions for students and supervisors

By Erika Angarita, Anna Hajdu, Yanyan Huang, BinBin Pearce, Guadalupe Peres-Cajías, Hussein Zeidan and Yuanyuan Zhu.

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1. Erika Angarita; 2. Anna Hajdu; 3. Yanyan Huang; 4. BinBin Pearce; 5. Guadalupe Peres-Cajías; 6. Hussein Zeidan; 7. Yuanyuan Zhu (biographies)

How can a student and their supervisors develop a shared map for a PhD project when they come from different disciplinary traditions, hold different assumptions about knowledge and quality, and operate within institutional systems that are still largely structured around single disciplines? How can they navigate what may feel obvious to one and may be invisible to another?

We developed a structured checklist of questions designed to support supervision conversations and reduce tensions resulting from unspoken assumptions. The checklist aims to be a guide for thoughtful, ongoing reflection between supervisors and doctoral students. These questions cover five areas where misunderstandings commonly arise:

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A framework for considering context in evaluation of transdisciplinary research projects

By Julia Schegg, Rea Pärli, Manuel Fischer and Eva Lieberherr.

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1. Julia Schegg (biography)
2. Rea Pärli (biography)
3. Manuel Fischer (biography)
4. Eva Lieberherr (biography)

How do contextual factors influence the effects of transdisciplinary research projects? How can assessment of transdisciplinary research move from only considering outcome effectiveness to understanding the reasons behind how and why something works?

Our framework considers both context and the effects of transdisciplinary research projects, as summarised in the figure below. Each aspect of the framework is described in more detail.

Context

We based the conceptualization of context for any given problem on three established frameworks from policy studies, emphasising system conditions, public action resources and events.

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Developing a conceptual framework to support communication, collaboration and integration

By Hanna Salomon, Jialin Zhang and Sabine Hoffmann.

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1. Hanna Salomon (biography)
2. Jialin Zhang (biography)
3. Sabine Hoffmann (biography)

How can the process of developing a conceptual framework in an inter- and transdisciplinary research project itself create valuable space for reflection, alignment, and learning?

What we have found when developing a project-specific conceptual framework is that the process is as important, if not more important, for the research team than the emerging conceptual framework itself. The process provides space and time to discuss and deep-dive into concepts and terms used within the research team leading to much needed discussions and insights for the individual researchers.

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The Cultiv8 tool Part 2: Actionable insights for navigating power

By Sobia Khan and Julia E. Moore.

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1. Sobia Khan (biography)
2. Julia E Moore (biography)

How can we move beyond considering power as the source of implementation challenges and bottlenecks, and instead focus on how we can change or shift the nature of power? How might you experience implementation differently if you knew how to unpack power dynamics and had strategies to navigate power in your implementation practice or research?

This i2Insights contribution is a companion to our previous post on cultivating trust. Trust and power go hand in hand and can’t be dealt with in silos – when considering trust, you also need to consider power and vice versa. The framework presented here helps to understand the dimensions of power and actionable steps for navigating each of these dimensions. Here we describe a second aspect of the Cultiv8 tool to unpack power dynamics.

Before you act: Reflect on the context

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Highlighted contributions

An effective way to organize research coordination meetings

By Gemma Jiang, Diane Boghrat and Jenny Grabmeier

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1. Gemma Jiang (biography)
2. Diane Boghrat (biography)
3. Jenny Grabmeier (biography)

How can large cross-disciplinary science institutes consisting of multiple teams working on multiple research projects overcome significant challenges to research coordination? Key aspects are:

  1. Visibility: how to keep different project teams informed of each other’s progress?
  2. Learning: how to support cross-project learning?
  3. Accountability: how to keep project teams accountable for their goals and deliverables?

Tackling these challenges requires a combination of asynchronous communications such as Slack, newsletters and emails, as well as synchronous communications such as research coordination meetings.

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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.

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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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Theory of change in inter- and transdisciplinary research

By Josefa Kny, Sabine Hoffmann, Emilia Nagy and Martina Schäfer

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1. Josefa Kny (biography)
2. Sabine Hoffmann (biography)
3. Emilia Nagy (biography)
4. Martina Schäfer (biography)

What are key functions of theory of change? For what purposes can we use theory of change in inter- and transdisciplinary research?

A theory of change maps the assumed relationships between activities and short-, medium- and long-term changes of an intervention, program or project. It makes assumptions about why and how such changes occur transparent. Theory of change approaches have their origins in theory-based evaluation and Paulo Freire’s theory of societal change (Freire, 1970) and have predominantly been used in development research and practice since the late 1990s.

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