Diffusion of innovations

By James W. Dearing

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James W. Dearing (biography)

How—and why—do people decide to try new things?

Studies of diffusion have frequently demonstrated a mathematically consistent sigmoid pattern (the S-shaped curve, see figure below) of over-time adoption for innovations. Innovations include new beliefs, practices, programs, policies, and technologies.

The “S” shape is due to the positive engagement of informal opinion leaders in talking about and modeling an innovation for others to hear about and see. The initial slow rate of adoption gives way to a rapidly accelerating rate, which then slows as fewer non-adopters remain. Alternatively and more commonly, when informally influential people do not get positively engaged or when they ignore or actively reject an innovation, diffusion does not occur and the resulting slope of a cumulative curve stays flat or turns negative.

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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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A practical framework for transforming academia through inter- and transdisciplinarity / Un marco práctico para transformar el mundo académico mediante la interdisciplinariedad y la transdisciplinariedad

By Bianca Vienni Baptista and Danilo Streck

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1. Bianca Vienni Baptista (biography)
2. Danilo Streck (biography)

A Spanish version of this post is available.

How can the role of inter- and transdisciplinarity be re-imagined at higher education institutions?

This i2Insights contribution presents a practical framework developed with Julie Thompson Klein and based on fifteen case studies from Asia, Africa, Australia, Europe, Latin America, and North America that described how inter- and transdisciplinarity have been institutionalised in higher education.

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Six lessons for connecting evidence to policy and practice in the Global South

By Fréjus Thoto

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Fréjus Thoto (biography)

How can the ecosystem of evidence use in policy and practice work better in Global South countries such as Benin?

Here I provide six lessons drawn from activities undertaken by the African Center for Equitable Development (ACED), a non-profit think-and-do tank, located in Benin, West Africa. Our focus has been on the food and nutrition security sector.

Lesson 1: Access to policy-relevant evidence is still a big challenge

There is still much work to do in order to ensure that timely and policy-relevant evidence is produced and accessible to users. We have developed a national platform to consolidate and display the available statistical data, research findings, and evaluation findings. However, a platform alone is not enough, and research agenda setting, research-policy dialogues and other strategic activities are required.

Lesson 2: Involve governments at all levels in evidence-informed policymaking processes

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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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Using the arts to flip understanding: An arts intervention for non-arts researchers

By Margot Greenlee, Martina Jerant and Veronica Dittman Stanich

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1. Margot Greenlee (biography)
2. Martina Jerant (biography)
3. Veronica Dittman Stanich (biography)

What do the arts bring to interdisciplinary research? Can arts practices lead STEMM (Science, Technology, Engineering, Mathematics and Medicine) researchers to new insights on their work?

We—a choreographer-and-professional-facilitator (Margot), a scientist-athlete-facilitator-entrepreneur (Martina), and a dancer-turned-arts-researcher (Veronica)—had a hunch that the arts have something to offer STEMM researchers: a different understanding of their own work.

We posited that thoughts are intertwined with actions, and when there is no opportunity to do things differently, it’s hard to think differently—to get a fresh perspective. By “actions”, we mean the practices researchers do every day as part of their work: for example, read, collect data, analyze data, present ideas in written form, revise that writing. Whatever the typical practices of a field or discipline are, as researchers train and eventually become experts in that field, its practices become habitual.

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Using archetypes as a systemic lens to understand the complexity of sustainable development

By Hossein Hosseini, Enayat A. Moallemi, Sibel Eker, Edoardo Bertone and Katrina Szetey

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1. Hossein Hosseini; 2. Enayat A. Moallemi; 3. Sibel Ekern; 4. Edoardo Bertone; 5. Katrina Szetey (biographies)

What are systems archetypes and how can they be used to bring a deeper understanding of causal drivers, potential dynamic behaviour in the future, and policy resistance when tackling complex problems, including those in sustainable development?

Systems archetypes are recurring generic systems structures found in many kinds of organisations, under many circumstances, and at many levels and scales. They are distinctive combinations of reinforcing and balancing processes theoretically rooted in systems thinking and modelling.

There are eight common archetypes, each with specific underlying causal drivers (eg., feedback loops, delay), expected dynamic behaviour (eg., acceleration, disruption, tipping point), and policy implications (eg., how to respond, where to intervene). Archetypes can help shift an analytical focus from simple behavioural correlations or a limited understanding of interactions between certain goals to a generalised knowledge of recurring patterns, causes, and consequences.

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Towards a theory of change to institutionalise integration experts and expertise

By The Aeschiried Integrators

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Author biographies

Integration experts and expertise are crucial for realising the full potential of inter- and transdisciplinary research. However, the expertise of those who lead integration is poorly recognized in the current academic system and these academics often experience a range of impediments to their careers. What can be done to recognise integration experts and expertise and to support the careers of such experts?

We define integration experts as specialists “who lead, administer, manage, monitor, assess, accompany, and/or advise others on integration” in order to achieve the full potential of inter- and transdisciplinary research (Hoffmann et al. 2022).

This i2Insights contribution presents the results of a pilot workshop held in Aeschiried, a mountain village in Switzerland, in February 2023 to develop a theory of change focused on Germany and Switzerland to achieve the following:

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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

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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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Lessons for strengthening community-university partnerships

By David D. Hart, Bridie McGreavy, Anthony Sutton, Gabrielle V. Hillyer and Darren J. Ranco

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1. David D. Hart; 2. Bridie McGreavy; 3. Anthony Sutton; 4. Gabrielle V. Hillyer; 5. Darren J. Ranco (biographies)

In an increasingly polarized world, how can partnerships between communities and universities strengthen the kinds of deliberative and democratic practices that might help address many local and global challenges? How can such partnerships improve practices that involve listening and responding across differences (the deliberative part)? How can they help find ways to make shared decisions and take joint actions, knowing that complete agreement or mutual understanding may never be possible (the democratic part)?

We have reflected on our partnerships with people from Maine communities and Wabanaki (“People of the Dawnland”) Tribal Nations in North America, especially regarding challenges faced by communities that harvest clams and other bivalve mollusks from the intertidal mudflats along the length of this region’s enormous coastline (Hart et al., 2022). Here we present some of the key lessons from that work.

Common ground?

Some challenges facing local communities are less about competing ideologies and more about pragmatic concerns such as reducing water pollution, which can make it easier for people to listen to and learn about each other in the context of community planning.

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