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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Institutionalizing evidence-informed policy-making in Latin America and the Caribbean / Institucionalizando la toma de decisiones informadas por evidencias en Latinoamérica y el Caribe/ Institucionalizando a formulação de políticas informadas em evidências na América Latina e Caribe

By Directors and Coordinators of the Latin American and the Caribbean Evidence Hub

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Author biographies

A Spanish version and a Portuguese version of this post are available

How is the routine use of evidence in policy in Latin America and the Caribbean progressing? How is it being institutionalized?

We provide a brief history of key initiatives to institutionalize evidence-informed policy making mechanisms in the region.

Research and policy interface

* The Latin American and the Caribbean Evidence Hub is an interdisciplinary and trilingual team who work together to create a dynamic and diverse community that articulates and mobilizes producers, intermediaries and users of knowledge in the region for decision making informed by the best available evidence. In 2022, it organized workshops with multi-country stakeholders and a regional meeting.

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Decolonising your writing

By kate harriden

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kate harriden’s biography

As an Indigenous person, it is draining, infuriating and tedious to consistently encounter recently written academic material that invokes, seemingly uncritically, colonial tropes. Paired with these tropes is usually a mix of arrogance, condescension and ignorance on which notions of ‘western’ superiority are based. I am Totally. Over. It. Not only are these tropes inaccurate and offensive, they allow the colonized researcher to avoid critiquing the impacts of colonization and (un)conscious biases in their work.

If you don’t understand ‘the problem’, chances are you are part of it, so sit down and open your mind as we go through this together. Hopefully the tips provided on how to decolonize your academic writing will start your journey into decolonizing writing.

Learning to recognize colonial writing

Undoubtedly you have read substantially more academic material imbued with colonial values and assumptions than decolonial academic material.

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Decolonising research capacity development

By Maru Mormina and Romina Istratii

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1. Maru Mormina (biography)
2. Romina Istratii (biography)

Why do many countries in the Global South remain behind when it comes to knowledge production and use, despite decades-long efforts to strengthen research capacity?

We think this is because the North still looks at the South with a ‘deficit mentality,’ according to which the latter has the problems and the former the solutions. From this standpoint, northern-led capacity development initiatives fail to recognise the South’s rich and diverse knowledge traditions and systems. Instead, they continue to impose monolithic blueprints of knowledge production, therefore re-inscribing colonial patterns of intellectual Western hegemony.

Of course, in many countries, research systems need support but current approaches are at best producing mixed results. A decolonial lens can help us identify alternative models.

Decolonising research capacity development in principle

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Wisely navigating knowledge co-production: Towards an ethics that builds capacities

By Guido Caniglia and Rebecca Freeth

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1. Guido Caniglia (biography)
2. Rebecca Freeth (biography)

How can I ensure that marginalized voices are heard in this project? Whom do I call on to offer the next perspective in this workshop and why? How can I intervene in this particular disagreement in a productive way? These are typical questions that researchers and practitioners involved in knowledge co-production processes ask themselves. They express deep ethical concerns, which also have epistemological and political implications, as they address the question: What should I do in this situation? What is right and wrong for me to do here?

We suggest that a perspective based on the ancient virtue of practical wisdom may help researchers and practitioners alike working in knowledge co-production to navigate the complexities of these questions.

Practical wisdom: An ancient virtue for wise navigation

Our answers to the deep ethical questions that emerge in collaborative and participatory research will vary depending on the specifics of the situation we are in, who is involved, as well as our own positionality and role in research projects or academic institutions. There is no formula to follow. 

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Pragmatism and critical systems thinking: Back to the future of systems thinking

By Michael C. Jackson

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Michael C. Jackson (biography)

Would systems thinking realize its potential as a force for good in the world if it rediscovered and developed its pragmatist roots? Does the link between the past and future of systems thinking lie through critical systems thinking and practice?

In brief, I suggest that:

  • Pragmatism provides an appropriate philosophy for systems thinking.
  • Systems thinking has pragmatist roots.
  • Critical systems thinking and practice shows how to develop those roots.
  • Pragmatism can help systems thinking realize its potential and systems thinking can help pragmatism achieve what it set out to do.

What is pragmatism?

Kant was in awe of Newton’s science but believed it could supply certainty only about the physical world. In most areas of human endeavor, he argued, we have to use ‘pragmatic belief’ to guide our actions.

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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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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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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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A responsible approach to intersectionality

By Ellen Lewis and Anne Stephens

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

What is intersectionality? How can it be used systemically and responsibly?

When you google the term over 66,400,000 results are returned. It is a term used by government and businesses, as well as change agents. But is it helpful and are there ways that we should be thinking about intersectionality and its inclusion in our everyday lives?

After describing intersectionality, we introduce a framework for systemic intersectionality that brings together issues that arise within three social dimensions: gender equality, environments and marginalised voices. We refer to this as the GEMs framework.

What is Intersectionality?

Intersectionality is a term first coined by Kimberlé Crenshaw in 1989. It is a prevalent way to understand the effect of more than one type of discrimination.

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Why complex problems need abductive reasoning

By Mariana Zafeirakopoulos

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Mariana Zafeirakopoulos (biography)

How does the way we approach complex problems differ from how we approach problems that are familiar or obvious?

In this i2Insights contribution, I explore four kinds of reasoning:

  • Deduction
  • Induction
  • Abduction
  • Design abduction.

Design abduction is the brain-child of Professor Kees Dorst (2015). In simplified terms, these different kinds of reasoning can be compared as follows (Watson and Dorst, 2022, p. 3; taken from Dorst, 2015, pp. 46-49):

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Three narratives describing interdisciplinary and transdisciplinary researchers

By Laura Norton, Giulia Sonetti and Mauro Sarrica

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1. Laura Norton (biography)
2. Giulia Sonetti (biography)
3. Mauro Sarrica (biography)

How do inter- and trans- disciplinary researchers talk about themselves? Do these narratives disrupt the status-quo and help integrate inter- and trans- disciplinarity into current academic institutions?

Below, we describe three narratives that can be applied to how inter- and trans- disciplinary researchers talk about themselves, namely as:

  • Heroes
  • Refugees in sanctuaries
  • Navigators of shifting borders.

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