Recognize and value linguistic and conceptual pluralism!

By Ulli Vilsmaier.

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Ulli Vilsmaier (biography)

How can we best recognise and value linguistic and conceptual pluralism in naming what we do when we work in international environments? What are the limitations of descriptors such as transdisicplinarity, participatory action research and co-creation? 

Terminology is really an issue when working across linguistic, disciplinary and professional boundaries. Working internationally we are now accustomed to using the hyper-centralized language, English; we tend to delegate translation more and more to machine-based algorithms; and we easily forget the consequences of working in a language that is not our mother tongue nor anchored in our cultural and social environment.

A hyper-centralized language has great benefits, but also major weaknesses.

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Participatory content analysis

By Andréanne Chu Breton-Carbonneau.

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Andréanne Chu Breton-Carbonneau (biography)

How can participatory action research with trusted community-based organizations ensure that communities most impacted take part in interpretating the data, turning findings into deeper insights and more meaningful community-led solutions?

Participatory content analysis is a final step in participatory action research and enables a community research team to analyze data to identify content themes, visually map relationships, and derive actionable insights based on local knowledge and lived expertise. The community research team comprises academic researchers, community-based organization partners, and “resident researchers,” who are community members recruited—with support from the community-based organization partners—from groups most impacted by the research area.

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Building co-production capabilities in researchers: Strengthening reflexivity via learning opportunities

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)

What forms of learning can support interdisciplinary teams to rapidly build reflexivity capabilities, especially in preparation for doing transdisciplinary (engaged) science with non-researcher societal actors?

Transdisciplinary co-production requires deep and reflexive learning. Reflexivity is a key capability for researchers doing inter- and transdisciplinary science, involving the critical enquiry of existing assumptions, values and norms underlying our decisions and actions, with the aim to adapt or change current practices or discourses.

Such learning is foundational for understanding and proactively engaging with knowledge-power dynamics, including potentially catalysing shifts in incumbent dynamics when preparing to engage with non-societal actors.

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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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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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Breaking boundaries: Transforming research with co-production and bridging knowledge systems

By Truphena E. Mukuna and Alemu Tesfaye Shekunte.

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1. Truphena E. Mukuna (biography)
2. Alemu Tesfaye Shekunte (biography)

What role do communities play in shaping research that affects their lives? How can academia break free from the constraints of traditional disciplinary boundaries to foster more inclusive knowledge production? We explore these questions based on our experience in researching forced displacement.

The challenge of traditional research methodologies

Historically, much research in the Global South has been dominated by Western perspectives and methodologies. These often lack cultural relevance and fail to engage meaningfully with the communities they study. Consequently, the resulting body of knowledge can be disconnected from the lived realities of those studied. In addition, disciplinary biases often overshadow the philosophical underpinnings of research methods. Researchers may adopt a ‘positivist’ or ‘constructivist’ stance or prefer ‘quantitative’ over ‘qualitative’ methods.

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Improving how we do research with indigenous and local communities

By Roxana Roos

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Roxana Roos (biography)

How can we best include the perspectives of indigenous and local people in global change research? What are the major challenges in doing research with and within local and indigenous communities? How can we best deal with such challenges?

More and more, global challenges like climate change are being felt locally, and indigenous peoples are often the most vulnerable. The inclusion of the perspectives of indigenous and local people when developing ways to respond to societal challenges is increasingly the norm in the scientific world. For response strategies to be effective, communities need to be involved in their development. This is true for a whole range of topics, from social justice to climate adaptation. But getting local communities involved in research by ‘outsiders’ can be a challenge for a multitude of reasons.

I propose eight important barriers to the participation of local and indigenous communities, along with potential solutions, based on the experiences of practicing researchers who have worked with such communities in the Philippines, Mexico, Russia (Siberia), Greenland, Norway (Svalbard), Canada, Germany, Greece, Colombia, Vietnam, Mongolia, Bangladesh, France, and New Zealand.

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Eighth annual review

By Gabriele Bammer

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Gabriele Bammer (biography)

Which i2Insights contributions inspired you in 2023? What did you learn that was new and how did it help you in tackling the complex societal or environmental problems you focus on? What would you like to see in 2024 and beyond?

One of the delights of curating i2Insights is learning something from every blog post. Another is the personal interactions involved in broadening the global community of contributors, introducing fresh voices and fresh insights, alongside those who are more seasoned contributors.

In this last blog post for 2023, I survey three of the year’s many highlights and what they mean for the operation of i2Insights:

  • integration and synthesis as an emerging ‘hot’ topic
  • re-introducing “golden oldies,” ie. tried and tested tools
  • increasing the number of countries represented by contributors, with an accompanying focus on decolonisation.

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Co-producing knowledge: Phases, issues and the td-net toolbox

By Sibylle Studer and Theres Paulsen

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1. Sibylle Studer (biography)
2. Theres Paulsen (biography)

What are the steps involved in co-producing knowledge in transdisciplinary research? What tools are available to help knowledge co-production and for what purpose should they be used?

Based on our experiences with the td-net (Network for Transdisciplinary Research) toolbox, we discuss how knowledge co-production can be organized along an ideal type of a transdisciplinary research process.

Phases and key issues of co-production

In developing the td-net toolbox, we used the following four phases of knowledge co-production, which require an iterative, rather than linear, approach:

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Challenges to science-policy-society interactions in transdisciplinary research

By Oghenekaro N. Odume, Akosua B. K. Amaka-Otchere, Blessing N. Onyima, Fati Aziz, Sandra B. Kushitor and Sokhna Thiam

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1. Oghenekaro N. Odume; 2. Akosua B. K. Amaka-Otchere; 3. Blessing N. Onyima; 4. Fati Aziz; 5. Sandra B. Kushitor; 6. Sokhna Thiam (biographies)

Why is transdisciplinary research that aims to co-produce knowledge across academic disciplines, policy contexts and societal domains often so difficult? What are the key challenges that need to be overcome?

We identified five key challenges when we analysed five projects implemented in nine African cities which were part of the Leading Integrated Research for Agenda 2030 in Africa (LIRA) program (Odume et al., 2021).

Challenge #1: Conceptual threshold crossing

Science-policy-society interactions require active engagement of diverse actors, often with different discursive language and epistemic backgrounds. Translating academic discourse into accessible everyday language can be challenging. In the same vein, policy and societal actors use discourse unfamiliar to academic actors.

Conceptual threshold crossing in terms of intellectual, ontological, and cognitive transformation is particularly challenging when projects are not just about understanding problems or raising awareness, but about true co-production of knowledge and co-ownership of the resulting outcomes.

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An analytical framework for knowledge co-production

By Marianne Penker

Marianne Penker (biography)

How can students and academics starting out in transdisciplinary research begin to come to grips with knowledge co-production?

Colleagues and I developed a useful analytical framework comprising the following four elements:

  1. typology of actor roles (who?)
  2. research phases (when?)
  3. objectives and forms of actor integration (why?)
  4. types of knowledge (what?).

These four elements are illustrated in the figure below.

The development of the framework was based on the literature and our experiences in running a doctoral school on transdisciplinary sustainability research (see Enengel et al. 2012).

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Wisely navigating knowledge co-production: Towards an ethics that builds capacities

By Guido Caniglia and Rebecca Freeth

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

How can I ensure that marginalized voices are heard in this project? Whom do I call on to offer the next perspective in this workshop and why? How can I intervene in this particular disagreement in a productive way? These are typical questions that researchers and practitioners involved in knowledge co-production processes ask themselves. They express deep ethical concerns, which also have epistemological and political implications, as they address the question: What should I do in this situation? What is right and wrong for me to do here?

We suggest that a perspective based on the ancient virtue of practical wisdom may help researchers and practitioners alike working in knowledge co-production to navigate the complexities of these questions.

Practical wisdom: An ancient virtue for wise navigation

Our answers to the deep ethical questions that emerge in collaborative and participatory research will vary depending on the specifics of the situation we are in, who is involved, as well as our own positionality and role in research projects or academic institutions. There is no formula to follow. 

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