Integration and Implementation Sciences (i2S) 3.0: An updated framework to foster expertise for tackling complex problems

By Gabriele Bammer

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Gabriele Bammer (biography)

How can researchers interested in tackling complex societal and environmental problems easily find and draw on what they need from inter- and transdisciplinary approaches, systems thinking, action research, post-normal science and a range of other ways of combining disciplinary and stakeholder perspectives in order to bring about improvements? How can the necessary expertise be fostered and supported in a systematic way?

These are the questions that I have been addressing for more than 20 years in considering whether a new discipline – Integration and Implementation Sciences or i2S – could provide a way forward. i2S 3.0 is the third conceptualization of this discipline and the current version is summarised in the figure below.

At this stage in its development, i2S is focused on providing a framework and conduit for sharing concepts, methods, processes and other tools that are currently fragmented across inter- and transdisciplinarity, systems thinking, action research, post-normal science and other approaches.

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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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Living labs are learning labs: Creating and mapping conditions for social learning in transdisciplinary research

By Marina Knickel and Guido Caniglia

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1. Marina Knickel (biography)
2. Guido Caniglia (biography)

What is required for social learning in living labs? How can social learning be mapped in living labs?

Living labs are conceived as spaces for social learning across difference in real-world situations through transdisciplinary research with diverse actors. We argue that the following conditions, often intertwined and building on each other, are required to set up living labs as learning spaces:

1. Epistemic: Learning to foster knowledge pluralism

We suggest supporting research and practice partners in developing a capacity for knowledge pluralism as the ability to appreciate and work with multiple kinds of knowledge and ways of knowing. Knowledge pluralism could be fostered by learning to recognise differences in knowledge, perspectives and socio-cultural identities as strengths and by strategically valorising them.

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Participatory video

By Pamela Richardson

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Pamela Richardson (biography)

What is participatory video? How can it enhance participatory research? What’s required to make participatory video work well?

Participatory video involves the co-production of videos in a group setting and can be used for community development, research and advocacy. The focus here is on research and, as a tool for communication and reflection, participatory video can support many different steps along a research journey, including:

  • co-creation of video-based funding proposals or the development of group plans,
  • project documentation and reflection,
  • participatory monitoring and evaluation,
  • dissemination of “best practices” or communication of results and lessons learned.

In these ways, video-making by participants can support both internal and external communication processes within a research project.

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Designing a rapid participatory scenario planning process

By Giles Thomson and Varvara Nikulina

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1. Giles Thomson (biography)
2. Varvara Nikulina (biography)

How can transdisciplinary researchers efficiently and effectively support diverse and time-poor actors in participatory scenario planning processes?

Scenario planning is a useful tool for policy development, especially for contexts with high uncertainty and complexity as described by Bonnie McBain in her i2Insights contribution, Designing scenarios to guide robust decisions. However, participatory scenario planning takes time, as pointed out by Maike Hamann and colleagues in their i2Insights contribution, Participatory scenario planning.

To address this challenge, we designed, tested and evaluated a rapid scenario planning method for a regional sustainability transition. In this case, the regional authority (host organization) wanted to increase collaboration and strengthen the link between municipal spatial planning and regional development by building consensus on the region’s most important development issues over a 30-year horizon to 2050.

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Achieving change by transforming engagement

By Katja Jäger

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Katja Jäger (biography)

How can civil society organisations, which rely on volunteer efforts, contribute more effectively to societal change? How can they position engagement with volunteers in a forward-looking way, so as to unleash the potential of committed people? What lessons does this have for researchers interested in social change efforts and in stakeholder engagement?

As a leader of a civil society organisation which works in the field of volunteer support, I am interested in how organisational engagement with volunteers can be most effective in supporting change efforts. Here I share a framework that we have found useful, along with four sets of questions for civil society organisations to reflect on in cooperation with their volunteers.

This work also aims to give researchers interested in social change insight into how they might effectively partner with civil society organisations, as well as how they might expand their thinking about engagement.

As a starting point, I have used the AQAL (All Quadrants All Levels) model shown in the figure below, which was developed by Ken Wilbur (1995) in his framework of integral theory. The model as shown was drawn by Keks Ackermann in Breidenbach and Rollow (2019).

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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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Children as research actors

By Frédéric Darbellay and Zoe Moody

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1. Frédéric Darbellay (biography)
2. Zoe Moody (biography)

From a transdisciplinary co-production of knowledge perspective, how can children’s capacity for reflection, analysis, curiosity, discovery and creativity be recognized? Why and how can the involvement of children in the research process be promoted by giving them a co-researcher status? Based on our experience of research on and with children, we present the main issues and potential of this type of research.

1. Research with Children

Recent developments in the fields of childhood studies and children’s rights studies highlight the benefits of carrying out research with and for children rather than about them.

Research with children is based on a horizontal model of knowledge production, that recognizes children as the real experts on what it is like to “be a child.”

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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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Four approaches to shifting mindsets for decolonising knowledge

By Peter Taylor and Crystal Tremblay

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1. Peter Taylor (biography)
2. Crystal Tremblay (biography)

In the context of knowledge for development, what does it require to deconstruct the dominant narratives and personal privileges embodied in our race, class, gender, etc.? And, in a knowledge landscape littered with potential minefields, how do we go about shifting the mindsets that shape the ways in which ‘we’ understand the world and our subsequent values, behaviours, and attitudes?

Drawing on our own experiences, and learning that has emerged through many valued interactions with others, we have identified four approaches which we believe may help to make a difference.

1. Identifying what, and whose, knowledge is valued, counted, and integrated into development processes

Researchers often fail to recognise or value the different knowledges needed to address some of the world’s greatest challenges, because of where knowledge resides and who has generated it.

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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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Improving facilitated modelling

By Vincent de Gooyert

vincent-de-gooyert
Vincent de Gooyert (biography)

Here I explore two outcomes of facilitated modelling – cognitive change and consensus forming – and ask: how can achieving those outcomes be improved?

But first, what is facilitated modelling?

Facilitated modelling is an approach where operational researchers act as facilitators to model an issue collaboratively with stakeholders, usually in a workshop. Operational research, also known as operations research, seeks to improve decision-making by developing and applying analytical methods.

Two central aims of facilitated modelling are to achieve cognitive change and to form consensus.

Cognitive change is the idea that participants of facilitated modelling workshops come in with a certain worldview, and that the intervention leads them to learn about the issue and accordingly change their minds.

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