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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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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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?

Stories play different roles at different levels of the system. They can be used to change the system, as well to evaluate, understand and showcase the change that is occurring.

One way for stories to change the system is by supporting individuals to change how they see themselves, their communities, and their broader context. Systems change when people change: how they relate to others, who they are in relationship with, and what they believe they are capable of doing. Stories change the system by supporting individuals to:

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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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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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Extending the DPSIR (Driving forces, Pressures, States, Impacts, Responses) framework

By Will Allen

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Will Allen (biography)

What is the DPSIR framework? How can it be extended to improve the ability to describe the interactions between society and the environment?

DPSIR (Driving forces, Pressures, States, Impacts, Responses) is a framework for describing and analysing the important and interlinked relationships between social and environmental factors (see the first figure below).

Different groups use these terms in slightly different ways, dependent on their disciplinary backgrounds – and given the diverse range of uses that the framework is put to, it probably does not make sense to attempt to create rigid definitions. What is important is that those stakeholders involved in any particular situation use the development of the model to clarify their understanding of the terms, and it is equally important to develop an integrative and shared understanding and communication of the causal links and mechanisms involved.

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Systems thinking in public policy: Making space to think differently

By Catherine Hobbs

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Catherine Hobbs (biography)

Why does public policy go wrong? How can researchers who are systems thinkers begin to create the conditions in which those involved in public policy may flourish within their possible spheres of ‘horizontal’ influence?

The public policy context and why it goes wrong

Jake Chapman’s System Failure: Why Governments Must Learn to Think Differently (2002; 2004) remains a much-quoted report. In his second (2004) edition, however, Chapman reflects that, despite an enthusiastic reception, there had been “very little substantive shift in either policy or management styles within government” (2004: p.10). Chapman identified a number of difficulties, including:

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Assessing assumptions about boundaries with critical systems heuristics

By Werner Ulrich

werner-ulrich
Werner Ulrich (biography)

How can those participating in research effectively reflect on their own assumptions about where they set boundaries around: problems, solutions, measures of success, knowledge claims and other aspects of research? These aspects are inevitably partial in the dual sense of representing a part rather than the whole of the total universe of conceivable considerations, and of serving some parties better than others.

How can examination of assumptions about boundaries be employed as an emancipatory practice to assess the assumptions of others and to point to better ways of serving the disenfranchised and marginalised?

I developed critical systems heuristics in the 1980s to support such boundary critique.

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Four building blocks of systems thinking

By Derek Cabrera and Laura Cabrera

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1. Derek Cabrera (biography)
2. Laura Cabrera (biography)

Systems thinking itself is a complex adaptive system. Supported by empirical evidence, DSRP theory describes 4 simple rules that dynamically combine to explain the complexity of physical, natural, and social systems. Awareness of these patterns can help us to solve many societal and environmental problems.

We briefly present DSRP theory which describes four universal patterns and their underlying elements—identity (i) and other (o) for Distinctions (D), part (p) and whole (w) for Systems (S), action (a) and reaction (r) for Relationships (R), and point (p) and view (v) for Perspectives (P).

We describe these four building blocks and show how they can be mixed and matched. We conclude with some additional key aspects of the theory.

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A quick guide to post-normal science

By Silvio Funtowicz

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Silvio Funtowicz (biography)

Post-normal science comes into play for decision-making on policy issues where facts are uncertain, values in dispute, stakes high and decisions urgent.

A good example of a problem requiring post-normal science is the actions that need to be taken to mitigate the effects of sea level rise consequent on global climate change. All the causal elements are uncertain in the extreme, at stake is much of the built environment and the settlement patterns of people, what to save and what to sacrifice is in dispute, and the window for decision-making is shrinking. The COVID-19 pandemic is another instance of a post-normal science problem. The behaviour of the current and emerging variants of the virus is uncertain, the values of socially intrusive remedies are in dispute, and obviously stakes are high and decisions urgent.

In such contexts of policy making, normal science (in the Kuhnian sense, see Kuhn 1962) is still necessary, but no longer sufficient.

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