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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An effective way to organize research coordination meetings

By Gemma Jiang, Diane Boghrat and Jenny Grabmeier

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1. Gemma Jiang (biography)
2. Diane Boghrat (biography)
3. Jenny Grabmeier (biography)

How can large cross-disciplinary science institutes consisting of multiple teams working on multiple research projects overcome significant challenges to research coordination? Key aspects are:

  1. Visibility: how to keep different project teams informed of each other’s progress?
  2. Learning: how to support cross-project learning?
  3. Accountability: how to keep project teams accountable for their goals and deliverables?

Tackling these challenges requires a combination of asynchronous communications such as Slack, newsletters and emails, as well as synchronous communications such as research coordination meetings.

We describe an effective way of organizing weekly research coordination meetings in an institute bridging the gap between computer science and biology and share key reflections.

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Keyword quiz: an icebreaker method for interdisciplinary teams

By Sebastian Rogga and Anton Parisi

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1. Sebastian Rogga (biography)
2. Anton Parisi (biography)

How can members of interdisciplinary teams quickly gain a better understanding of each other’s thematic preferences and skills in a way that is also engaging and fun?

We have developed a “keyword quiz” icebreaker method to facilitate exchange between members of interdisciplinary teams, especially between people who are not complete strangers to each other but are collaborating in a project context for the first time.

In brief, the idea is to communicate each member’s scientific profile based on keywords from publications that the team members have published and that they have selected based on specific categories.

The keywords of a publication are presented visually to the whole group and the team members then guess, in the form of a quiz, which team member published the associated publication.

After the author has been revealed, they share the reasons for choosing the publication. Such storytelling creates a better understanding of the team member’s interests, methodological approaches and publication habits.

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Inclusive Systemic Thinking for transformative change

By Ellen Lewis and Anne Stephens

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1. Ellen Lewis (biography)
2. Anne Stephens (biography)

What is Inclusive Systemic Thinking and how can it be effective in achieving transformational change? How can it contribute to a more inclusive and equitable world?

Introducing Inclusive Systemic Thinking

We have coined the term Inclusive Systemic Thinking to describe an approach that is influenced by a field of systems thinking called ‘Critical Systems Thinking,’ as well as by the social and behavioural sciences, fourth-wave feminism, and more recently, our work in the global development sector. Inclusive Systemic Thinking uses the ‘GEMs’ framework for complex systemic intersectional analysis based on: Gender equality/equity (non-binary), Environments (natural and/or contextual) and Marginalised voices (human and non-human). We described the GEMS framework in a recent i2Insights contribution, A responsible approach to intersectionality.

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Seven methods for mapping systems

By Pete Barbrook-Johnson and Alexandra S. Penn

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1. Pete Barbrook-Johnson (biography)
2. Alexandra S. Penn (biography)

What are some effective approaches for developing causal maps of systems in participatory ways? How do different approaches relate to each other and what are the ways in which systems maps can be useful?

Here we focus on seven system mapping methods, described briefly in alphabetical order.

1. Bayesian Belief Networks: a network of variables representing their conditional dependencies (ie., the likelihood of the variable taking different states depending on the states of the variables that influence them). The networks follow a strict acyclic structure (ie., no feedbacks), and nodes tend to be restricted to maximum two incoming arrows. These maps are analysed using the conditional probabilities to compute the potential impact of changes to certain variables, or the influence of certain variables given an observed outcome.

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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.

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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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Storytelling and systems change

An i2Insights story based on one originally told by Thea Snow, David Murikumthara, Teya Dusseldorp, Rachel Fyfe, Lila Wolff and Jane McCracken

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1. Thea Snow; 2. David Murikumthara; 3. Teya Dusseldorp; 4. Rachel Fyfe; 5. Lila Wolff; 6. Jane McCracken (biographies)

How is storytelling important in driving systems change? What does good storytelling look like? What makes it hard to tell stories about systems change work? We address these three questions.

But first, what do we mean by systems change? We use the definition developed by New Philanthropy Capital (Abercrombie et al. 2015): “Systems change aims to bring about lasting change by altering underlying structures and supporting mechanisms which make the system operate in a particular way. These can include policies, routines, relationships, resources, power structures and values.”

How is storytelling important in driving systems change?

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Public participation geographical information systems

By Nora Fagerholm, María García-Martín, Mario Torralba, Claudia Bieling and Tobias Plieninger

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1. Nora Fagerholm; 2. María García-Martín; 3. Mario Torralba; 4. Claudia Bieling; 5. Tobias Plieninger (biographies)

What is encompassed by public participation geographical information systems? What resources are required? What are the strengths and weaknesses of involving stakeholders?

Participatory mapping combines cartography with participatory approaches to put the knowledge, experiences, and aspirations of people on a map. Under this umbrella term, public participation geographical information systems refers to the use of geographical information systems (GIS) and modern communication technologies to engage the general public and stakeholders in participatory planning and decision-making.

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Viable System Model: A theory for designing more responsive organisations

By Angela Espinosa

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Angela Espinosa (biography)

How can communities, businesses, regions, and nations – which can all be thought of as organisations – be designed to be capable of dealing quickly and effectively with environmental fluidity and complexity?

The Viable System Model, often referred to as VSM, is a theory that posits that a complex organisation is more capable of responding to a changing and unpredictable environment, if it is:

  • composed of autonomous, effective, and agile subsidiary organisations,
  • highly connected to each other, and
  • cohesively operating with shared ethos, purpose, processes, and technologies

A complex organisation therefore has multiple levels of nested organisations, each adhering to these principles.

The building blocks of the Viable System Model are five interconnected systems.

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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).

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Managing complexity with human learning systems

By Toby Lowe

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Toby Lowe (biography)

How can those in public service – be they researchers, policy makers or workers in government agencies, private businesses managers, or voluntary and community organisation leaders – think more effectively about improving people’s lives, when they understand that each person’s life is a unique complex system?

A good starting point is understanding that real outcomes in people’s lives aren’t “delivered” by organisations (or by projects, partnerships or programmes, etc). Outcomes are created by the hundreds of different factors in the unique complex system that is each person’s life.

In other words, an outcome is the product of hundreds of different people, organisations, and factors in the world all coming together in a unique and ever-changing combination in a particular person’s life. Very little of what influences the outcome is under the control or influence of those who undertake public service.

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