Processes

Preparing interdisciplinary research teams for transdisciplinary co-production: A framework and diagnostic questions

By Emma Ligtermoet, Claudia Munera-Roldan, Cathy Robinson, Zaynel Sushil and Peat Leith.

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1. Emma Ligtermoet; 2. Claudia Munera-Roldan; 3. Cathy Robinson; 4. Zaynel Sushil; 5. Peat Leith (biographies)

How can interdisciplinary teams rapidly and collectively diagnose and design effective engagement approaches as they prepare for engaged (transdisciplinary) research? How can they build bridges with non-researcher societal actors to understand differences in language, methodology and even fundamental philosophies about ways and means of understanding the world?

We have developed a framework with context as the central feature, as this shapes all aspects of collaborative work. Context is then used to centre exploration of interconnected elements of positionality, purpose, power and process (4Ps).

Shared deliberation of the research context and the interconnected 4Ps requires an effective collective learning environment, which is upheld by the pillars of equity, trust, openness and inclusivity, and reflexivity.

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What policy makers want from research

Edited by Gabriele Bammer.

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What do policy makers find useful or problematic about research and the way in which it is delivered? How would they like to see research presented to them?

In 2003 R. John Gregrich, then Chief of the Treatment Branch, Office of Demand Reduction, Office of National Drug Control Policy, Executive Office of the President, Washington, DC, USA, laid out a number of suggestions for researchers about more effectively interacting with policy makers. The description here has been generalised beyond alcohol and other drugs policy.

Seven tips for the general presentation of research findings

1. Research is often inaccessible to policy makers.
Research findings can be both hard to find and hard to understand; in particular the language and format of peer-reviewed publications demand more effort than is warranted from policy makers.

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Harnessing the collision of four ways of knowing

By Adrian Wolfberg.

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Adrian Wolfberg (biography)

How can solving today’s most complex challenges reckon with four fundamentally different ways of knowing? How can the collision of their distinct epistemic strengths and blind spots be harnessed for innovation in threat assessment and decision-making on complex problems?

Let me unpack these four ways of knowing and how they shape, support, and sometimes undermine each other. Here, I use the example of climate security intelligence, but the insights and lessons are likely to apply to a wider range of complex societal and environmental issues. The four ways of knowing are:

  1. Scientific knowledge from the physical sciences
  2. Scientific knowledge from the social sciences
  3. Judgment under uncertainty by knowledge-producing professionals
  4. Practical decision-making by practitioners who are senior executives.

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Transdisciplinarity in Africa: Key issues in achieving higher education’s third mission

By Basirat Oyalowo.

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Basirat Oyalowo (biography)

How can transdisciplinarity in Africa help achieve higher education’s third mission, namely making a contribution to society? What are the best pathways for achieving this? What are the key obstructions and potential ways around them?

Higher education’s third mission involves adding to the first two missions of teaching and research towards providing service to society. However, general pathways to achieving this are still unclear. A few studies have explored how and why the local impacts of universities need to be measured, but these are generally from outside Africa and concentrate more on quantitative methods to measure specific impact, such as economic impact.

Transdisciplinarity provides opportunities to consider the diversity of societal needs and values, to benefit from local knowledge, to involve scientific disciplines, stakeholders and target groups.

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Planning transdisciplinary stakeholder workshops: Four practical lessons

By Maxine Fromm.

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Maxine Fromm (biography)

How can transdisciplinary researchers best organise workshops that create a collaborative space for different stakeholders? What practical planning is required? How can organisers meet the challenges of translating a project idea into concrete workshops?

This i2Insights contribution offers four practical lessons gathered throughout a dialogue series on a just industry transition between Dutch representatives from industry, non-governmental organisations, academia and ministries, which was organised by the Sustainable Industry Lab.

Lesson 1: Planning should start from your stakeholders’ needs

As Lisa Andrews and colleagues noted in their i2Insights contribution, Three lessons for mainstreaming transdisciplinarity, you need to ‘reach stakeholders where they are’ and take into account their knowledge levels, interests and agendas.

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Why interdisciplinarity and transdisciplinarity are not enough for addressing complex problems

By Gabriele Bammer.

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Gabriele Bammer (biography)

As the importance of interdisciplinary and transdisciplinary research approaches becomes more widely recognised, how can we overcome the danger that they are seen to be all that is needed for tackling complex problems? What are the limitations of these approaches? What else might be required?

My starting point is that improved understanding of, and action on, a complex societal or environmental problem usually requires a number of research questions to be addressed. Different questions require different kinds of research approaches. Let’s illustrate this by considering the following complex problem:

As effort goes into making cities more sustainable, how can we incorporate illicit drug users into a more sustainable city X?

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The SPIRAL of systems leadership

By Josep M. Coll.

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Josep M. Coll (biography)

How can systems leadership be structured in a way that facilitates clarity and organization in its implementation and use, especially given that it is a collective type of leadership that harnesses the power of collective intelligence for solving a complex or wicked problem, in order to enable system-level change?

The SPIRAL of systems leadership is a practical model aimed at framing, developing and facilitating the transformative power of systems leadership for conscious and impactful organizations and practitioners that work in the domain of systemic transformation, regeneration and sustainable development.

SPIRAL is a name mnemonic that helps in remembering the five principles and in organizing the five phases of the model: S for Systeming, P for Purposing, I for Inviting, R for Re-designing and AL for Adaptive Learning, which are shown in the figure below.

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Navigating the spectrum of leadership styles

By Gemma Jiang, Jenny Grabmeier and Joan Lurie.

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1. Gemma Jiang (biography)
2. Jenny Grabmeier (biography)
3. Joan Lurie (biography)

When you are in a leadership role, are you able to shift your leadership style to accommodate the needs of your team and project? When consensus is hard to reach, are you able to step in with a directive approach? Are you able to hold back from being directive when creativity and participation are needed?

A Spectrum of Leadership Styles

Lewin, Lippitt and White in their foundational 1939 study on group dynamics suggested three leadership styles. In the context of cross-disciplinary science, we do not see these as separate styles or the only three styles, but as reference points along a continuum. At one end of their spectrum lies directive leadership, and at the other, delegative leadership, and somewhere in the middle, participative leadership.

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Three key strategies enabling artificial intelligence to bridge inequities

By Kerstin Nothnagel.

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Kerstin Nothnagel (biography)

With artificial intelligence transforming many aspects of society, from healthcare to education to economic development, how can it be used to reduce rather than perpetuate inequalities? In particular, given that artificial intelligence can widen gaps by exacerbating existing inequalities through biased datasets, lack of infrastructure, and limited access to resources, how can the benefits of artificial intelligence be brought into the reach of low-income nations and marginalised communities? What practical steps can be taken to ensure artificial intelligence is developed and applied in a way that is inclusive and benefits everyone?

My work has been in the health field, but the findings are likely to be more broadly applicable. I suggest three strategies that would enable artificial intelligence to reduce inequities. The first two are key contributions that researchers can make. The third is a call to policy makers and funders. An example is provided for each strategy.

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An approach for operationalizing and sustaining systems improvements

By Dintle Molosiwa.

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Dintle Molosiwa (biography)

How can we develop more effective interventions that address root causes of insufficient system performance? How can systems-informed interventions achieve and sustain more impactful system improvements? What strategies ensure multisectoral collaboration in systems improvement initiatives?

This i2Insights contribution is based on experience in improving health systems in South Africa, Senegal, Zambia, Botswana and Chemonics global health supply chain portfolio, but is likely to have wider relevance for other systems and countries.

Colleagues and I (Chemonics Health Practice and SYSTAC Africa Hub, 2024) distilled existing system thinking frameworks into a four-step cycle: examine; co-create; implement and adapt; and adopt and scale.

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Mobilizing the Arnstein Gap for better planning

By Keiron Bailey.

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Keiron Bailey (biography)

What is the Arnstein Gap? How can the Arnstein Gap usefully inform future citizen or stakeholder engagement?

Arnstein’s Ladder and the Arnstein Gap

Let’s begin with a brief reminder of Arnstein’s Ladder, which is a description of eight levels of public participation in government decision making developed by Sherry Arnstein in 1969 and illustrated in the figure below. More detail is available in the i2Insights blog post Stakeholder engagement: Learning from Arnstein’s ladder and the IAP2 spectrum by Gabriele Bammer. 

In 2006 my colleague Dr. Ted Grossardt and I introduced the Arnstein Gap (Bailey and Grossardt, 2006), which is the difference between the perceived and desired levels of public involvement according to Arnstein’s Ladder.

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Designing for role clarity: An essential leadership skill

By Gemma Jiang and Joan Lurie.

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1. Gemma Jiang (biography)
2. Joan Lurie (biography)

How can leaders design roles and role relations within their project teams? How can leaders recalibrate and re-align role relations as their project contexts shift? Why is designing for role clarity an essential leadership skill, beyond technical and interpersonal skills?

Just as we sign contracts outlining job descriptions and authority when starting a new position, a similar role contracting process should be initiated at the beginning of each project. This ensures that everyone understands their specific responsibilities and authority within the project context. This practice is particularly crucial when team members have overlapping roles outside the project. For instance, in one project, a faculty member might lead while their department chair takes on a supporting role. How should these two define their project roles to distinguish them from their ongoing department chair–faculty relationship?

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