Author-tag: Flurina Schneider

Transdisciplinary research with and for artificial intelligence

By Florian Keil, Melina Stein and Flurina Schneider.

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1. Florian Keil’s biography
2. Melina Stein (biography)
3. Flurina Schneider (biography)

Is artificial intelligence, a technology aggressively advertised as the ultimate cure-all, fundamentally incompatible with transdisciplinarity and its decades-old insight that the “wicked” problems of the real world do not lend themselves to one-dimensional solutions? Should transdisciplinary research outright reject a technology that is already undermining efforts to achieve social and environmental justice? Or can artificial intelligence actually support transdisciplinary research when used responsibly?

Using artificial intelligence in transdisciplinary research requires a critical mindset

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Fostering transdisciplinary research in the Global South: Lessons for funders

By Flurina Schneider, Zarina Patel, Katsia Paulavets, Tobias Buser, Jacqueline Kado and Stefanie Burkhart.

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1. Flurina Schneider; 2. Zarina Patel; 3. Katsia Paulavets; 4. Tobias Buser; 5. Jacqueline Kado; 6. Stefanie Burkhart (biographies)

How can research funding programmes address existing inequalities in global science systems? How can they foster science-society-policy interactions and transdisciplinary research in the Global South?

Inequalities in science disadvantage the Global South in terms of classical science metrics such as the number of researchers and publications, but also in terms of access to research, funding and infrastructure. Early career researchers are particularly affected.

To address these inequalities, financial investment in research capacity is needed from both national governments and international donors. However, dependence on international funding reinforces the influence of the Global North in setting research agendas in the Global South. We argue that international research funders can mitigate this challenge by supporting transdisciplinary research, because transdisciplinary research integrates different perspectives to resonate with local realities and problems.

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Three types of knowledge

By Tobias Buser and Flurina Schneider

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1. Tobias Buser (biography)
2. Flurina Schneider (biography)

When addressing societal challenges, how can researchers orient their thinking to produce not only knowledge on problems, but also knowledge that helps to overcome those problems?

The concept of ‘three types of knowledge’ is helpful for structuring project goals, formulating research questions and developing action plans. The concept first appeared in the 1990s and has developed into a core underpinning of transdisciplinary research.

The three types of knowledge, illustrated in the first figure below, are:

1. Systems knowledge, which is usually defined as knowledge about the current system or problem situation. It is mainly analytical and descriptive. For example, if you think of water scarcity, systems knowledge refers to producing a holistic understanding of the relevant socio-ecological system, including aspects like water availability, water uses, water management, justice questions, and their interrelations.

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Funding transformative research: 10 key stages

By Flurina Schneider

Flurina Schneider (biography)

How can funding programmes maximize the potential of transformative research that seeks to make a real difference? How can funders support a more hands-on approach to societal challenges such as ecological crises? A group of Swiss transdisciplinary researchers and funding-agency staff identified 10 overlapping stages and their key ingredients. The stages are also described in the figure below.

1. Preparation of the funding programme.
From the start, funding programme leaders should seek dialogue with all those concerned with the societal challenge, including decision-makers and affected communities. Only then should they create a formal programme description and announce a call for project proposals—while still leaving room for grantees (those who receive grants) to adapt the framing of problems and goals.

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Impacts of social learning in transformative research

By Flurina Schneider, Lara M. Lundsgaard-Hansen, Thoumthone Vongvisouk, and Julie G. Zähringer

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1. Flurina Schneider (biography)
2. Lara M. Lundsgaard-Hansen (biography)
3. Thoumthone Vongvisouk (biography)
4. Julie G. Zähringer (biography)

How can science truly support sustainability transformations?

In our research projects we often find that the very process of co-producing knowledge with stakeholders has transformative impacts. This requires careful design and implementation. Knowledge co-production in transdisciplinary and other research leads to social learning and can make a difference in the lives of those involved.

Knowledge co-production is, therefore, not only a cognitive endeavour that will result in new, action-oriented knowledge, but also a broad social learning process that includes relational, normative, and emotional dimensions.

The following three examples from recent research on sustainable land use and poverty alleviation in Laos and Myanmar illustrate how it can work.

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