Towards a taxonomy of synthesizing

By Howard Gardner

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Howard Gardner (biography) (photo credit: Harvard Graduate School of Education)

“Synthesis” seems to be in the atmosphere. The capacity to synthesize, the need for syntheses, and improvement of the quality of syntheses—these are seemingly of interest to many.

A preliminary working definition:

A synthesis is an attempt to bring together various ideas, strands, concepts, and materials. A good synthesis enhances one’s understanding of a question, puzzle, phenomenon (or multiples of these). Familiar examples are school term papers, doctoral dissertations, position papers, landscape analyses, executive summaries, and textbooks. But one can easily extend the list beyond the verbal—to chemical syntheses, equations in physics or mathematics, works of art (poems, paintings, dioramas)—indeed any creation or invention that brings together disparate elements in a satisfying and illuminating way.

Of course, it’s important to avoid the situation where just about everything qualifies as a synthesis.

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A framework for building transdisciplinary expertise

By ANU Transdisciplinarity Working Group

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Author biographies

What expertise should everyone have in order to effectively play their role in tackling complex societal and environmental problems? Is there a framework that can help everyone develop rudimentary skills and provide a pathway to enhancing them as and when necessary?

We were charged with addressing these questions, not for everyone, but for all undergraduates at our university, The Australian National University (ANU). In particular, we were asked to ensure that all ANU graduates would be able to work with others to understand and creatively address amorphous and complex problems. More formally, this was described as proposing how undergraduates could develop the “Capability to Employ Discipline-based Knowledge in Transdisciplinary Problem Solving.”

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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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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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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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Five core competency areas for participatory modeling

By Sondoss Elsawah, Elena Bakhanova, Raimo P. Hämäläinen and Alexey Voinov

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1. Sondoss Elsawah (biography)
2. Elena Bakhanova (biography)
3. Raimo P. Hämäläinen (biography)
4. Alexey Voinov (biography)

What knowledge and skills do individuals and teams need to be effective at participatory modeling?

We suggest that five core competency areas are essential for participatory modeling:

  1. systems thinking
  2. modeling
  3. group facilitation
  4. project management and leadership
  5. operating in the virtual space.

These are illustrated in the figure below.

These competency areas have naturally overlapping elements and should therefore be seen as a holistic and interdependent set. Further, while certain competencies such as modeling skills can be addressed by individual members of a participatory modeling team, the entire process is a team effort and it is necessary to also consider the competencies as a group skill.

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A pattern language for knowledge co-creation

By Yuko Onishi

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Yuko Onishi (biography)

How can pattern language be used to share tips for knowledge co-creation in transdisciplinary research? What is pattern language?

Pattern language

Pattern language is an idea that originated in the field of architecture and city planning in the 1970s. The American architect Christopher Alexander and his colleagues created a common language, referred to as pattern language, that can be used by non-experts to participate in the process of city planning and building design.  

In this pattern language, the rules of thumb for solving common and timeless problems in design are summarised in units called ‘patterns.’ Each pattern describes a specific problem, the situation or context in which it likely occurs, and the core of the solution to that problem.

The solutions are not written as specific procedures or manuals, but rather as ‘hints’ for solving the problem. Therefore, the solution can be used in many ways based on one’s own needs and situation. 

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Theory of change in inter- and transdisciplinary research

By Josefa Kny, Sabine Hoffmann, Emilia Nagy and Martina Schäfer

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1. Josefa Kny (biography)
2. Sabine Hoffmann (biography)
3. Emilia Nagy (biography)
4. Martina Schäfer (biography)

What are key functions of theory of change? For what purposes can we use theory of change in inter- and transdisciplinary research?

A theory of change maps the assumed relationships between activities and short-, medium- and long-term changes of an intervention, program or project. It makes assumptions about why and how such changes occur transparent. Theory of change approaches have their origins in theory-based evaluation and Paulo Freire’s theory of societal change (Freire, 1970) and have predominantly been used in development research and practice since the late 1990s.

In general, theory of change can be understood as a process and a product, as described by Heléne Clarke in her i2Insights contribution Theory of Change in a nutshell. In the process, a group of involved actors develop their shared understanding of how the program, project or intervention will bring about a desired change. The product is a narrative and/or visualisation which illustrates how such change will be achieved.

Although theory of change was not developed for inter- and transdisciplinary research, both the process and the product are relevant for such investigations.

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Integration in inter- and transdisciplinary research: how can the leadership challenges be addressed?

By Lisa Deutsch and Sabine Hoffmann

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1. Lisa Deutsch (biography)
2. Sabine Hoffmann (biography)

How can the integration required in large inter- and transdisciplinary programs be effectively led? What challenges do leaders of integration in such programs face and how can they address them? What are the particular challenges in using a theory of change as an integrative tool?

We describe five key challenges that we encountered when leading the integration for a large 10-year inter- and transdisciplinary research program, which explored novel non-grid water and sanitation systems that can function as comparable alternatives to conventional large network-based systems. We experienced these challenges when applying the tool Theory of Change to facilitate communication, collaboration and integration among the team members (for more on theory of change see the i2Insights contribution by Heléne Clark). We also share the strategies we employed to address these challenges. The lessons we developed are likely to be applicable to other inter- and transdisciplinary research programs.

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Externalizing implicit expectations and assumptions in transdisciplinary research

By Verena Radinger-Peer, Katharina Gugerell and Marianne Penker

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1. Verena Radinger-Peer (biography)
2. Katharina Gugerell (biography)
3. Marianne Penker (biography

How can implicit expectations and assumptions of team members in transdisciplinary research collaborations be identified?

We used Q-methodology as a tool to make diverse expectations and perceptions of transdisciplinary research collaborations tangible and thus negotiable.

Q-methodology is an established explorative, semi-quantitative method for investigating distinctive viewpoints of a given population based on inverted factor analysis. While we do not explain Q methodology here, it is increasingly used and we refer those who want to find out more to Watts and Stenner (2012).

One disadvantage of the Q-method is the amount of time and effort that has to be invested in developing the Q-statements. Here we offer the statements we developed through an extensive process in our study for others to use either in their own Q methodology or in surveys.

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