The essential conditions for, and characteristics of, complexity

By Jean Boulton.

jean-boulton
Jean Boulton (biography)

What are the underpinning necessities or conditions—the essential ingredients—that lead to and engender the qualities or characteristics of the complex world, especially its processual and emergent nature?

Three conditions for complexity: the essential ingredients

A watch or intricate machine is not complex. Nor is a saucer of water. So, when do we regard something as complex? What are the necessary conditions for complexity fully to be realised?

These are:

  • open boundaries
  • diversity
  • reflexive inter-relationships among constituents.

Let’s look at each of these in more detail.

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Five structural levers to reopen feedback loops that are resistant to external evidence

By Lachlan S. McGill.

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Lachlan S. McGill (biography)

When feedback loops have become resistant to external evidence, what are some potential ways of intervening to reopen them?

This i2Insights contribution builds on my previous post which covers understanding why feedback loops can become resistant to external evidence and how to diagnose such a structural problem.

Here I introduce five structural ways to intervene in such a closed feedback loop. These are structural levers, each targeting a different aspect of how signals flow, how authority is allocated, and how evaluative standards are defined.

One practical note before beginning. Applying the interventions below often requires institutional authority, coalition building, or regulatory support, so that isolated actors may not be able to deploy them fully, leaving the problematic dominant structure intact.

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Understanding and diagnosing when feedback loops become resistant to external evidence

By Lachlan S. McGill.

lachlan-mcgill
Lachlan S. McGill (biography)

Why does better evidence sometimes fail to improve decision making? How can we tell if this is caused by feedback loops becoming resistant to external evidence?

Understanding how structural patterns become problematic

In most organisations, decisions are embedded in feedback loops that connect indicators, incentives, and authority structures. These loops determine what counts as success, which signals influence decisions, and how performance is evaluated over time.

When feedback loops are well aligned with system goals, they support learning. However, feedback loops can also evolve in ways that reinforce a narrow definition of success. This is generally associated with a system relying on a small number of indicators to guide decisions. Common examples include financial return on investment, productivity or output measures, growth targets, publication counts or grant income, and compliance indicators.

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Training specialists to solve wicked problems

By Vladimir Mokiy.

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Vladimir Mokiy (biography)

How can a modern university train highly qualified specialists who are able to rethink and unambiguously solve wicked problems?

Here I build on my previous i2Insights contribution Systems transdisciplinarity as a metadiscipline, the methodology of which aims to unify and generalize complementary and non-complementary disciplinary knowledge and methodologies. This metadiscipline provides the basis of a proposed curriculum for a two-year training program at the masters level. The intention is that specialists would be trained in systems transdisciplinarity using a single curriculum to ensure a uniform level of professional capabilities and competencies.

The curriculum

The curriculum involves the organization of training in four sections.

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Understanding and responding to a chaotic world

By Jamais Cascio.

jamais-cascio
Jamais Cascio (biography)

Is it helpful to conceive the world as Brittle, Anxious, Nonlinear, and Incomprehensible or BANI? What do these terms mean and what mental models can help us survive in a BANI world?

I created BANI as an acronym in 2018 to better describe an increasingly chaotic world. BANI is a sense-making framework that recognises recurring themes in disruptions that make it increasingly difficult to understand the big picture and to make decisions. BANI is not saying something about the world, but rather about how we perceive it. It comes from a human inability to fully understand what to do when pattern-seeking and familiar explanations no longer work. It involves seeing the world as it is and letting go of illusions of system strength, control, predictability and certainty. BANI sets out to illuminate systems, but operates at a human level in a visceral and experiential way.

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Open Systems Theory: Producing successful strategic plans

By Merrelyn Emery.

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Merrelyn Emery (biography)

How can we produce strategic plans that people actually want to implement? How can the process create a sense of belonging and allow members of communities and organizations to take control over their own affairs?

Fred Emery and I tackled these questions while producing Open System Theory.

Open Systems Theory: The framework

Open Systems Theory has two basic concepts:

1. The world consists of systems with permeable boundaries, ie., systems which are open to their environments. This gives us co-evolution, the mutual determination of system and environment.

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Four core concepts for expanding a systems view to system dynamics

By Andrei Savu.

andrei-savu
Andrei Savu (biography)

Once you understand the basic concepts underpinning systems, what other concepts are key to understanding system dynamics?

While systems thinking teaches you to see and shape system structure, system dynamics focuses on understanding nonlinear behavior over time. An additional four key concepts are added to five core concepts in systems thinking described in a companion post.

The four additional key concepts for understanding system dynamics are: stocks, flows, delays and dynamic behavior patterns.

Stocks and flows

Stocks and flows are foundational concepts, essential for analyzing and designing effective systems.

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Five core concepts for understanding systems

By Andrei Savu.

andrei-savu
Andrei Savu (biography)

What concepts are key to understanding systems?

A system is a set of interdependent elements whose coordinated interactions give rise to an outcome none of the pieces can deliver alone. The key word is relationship: change the relationships and the behavior of the whole shifts, even if every component remains identical.

Five core concepts for systems thinking are: purpose, boundary, feedback, leverage and emergence.

Purpose and boundary

Every system exists to fulfill a purpose, defined by boundaries that separate internal elements from external factors. These two fundamental concepts—purpose and boundary—determine how we understand, analyze, and influence systems of all types.

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Data variety and why it matters

By Richard Berry.

richard-berry
Richard Berry (biography)

What are the differing characteristics of data? Why are they important for systems to function effectively? What is requisite variety of data?

There are nine characteristics of data variety which agitate systems. These are volume, velocity, variety, veracity, validity, vulnerability, viscosity, vectors and virtualisation. Together, the ‘9Vs’ constitute a data requisite variety framework and are described below. 

1. Volume

Description: The amounts of available data.

Example: Volume can vary widely from the results of small-scale research to the tsunami of digital material accessible through the internet. The latter can overwhelm both people and organisations.

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Combining subjectivity and objectivity in systems thinking: The SOS sandwich

By James Stauch and Daniela Papi-Thornton.

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1. James Stauch (biography)
2. Daniela Papi-Thornton (biography)

In seeking to understand, map, and then act to intervene in a system, how can we make the best use of both subjectivity and objectivity? How can we effectively toggle between facts and norms, between what is true (or at least broadly verifiable) and what is valued (or valuable)?

In the book that this i2Insights contribution is based on (Stauch et al., 2025), the case is made for people to spend far more time understanding a problem, and proportionally less time acting to “solve” the problem. To help frame this approach, the SOS (subjective-objective-subjective) sandwich is used as a simple heuristic to show where subjectivity and objectivity can be taken into account when dealing with a system.

In this work, objectivity is considered as a vector, not a destination, with true objectivity always out of reach, as we can never be completely objective in our approach to research. That said, we can strive for it by recognizing our biases and seeking diverse viewpoints.

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The SPIRAL of systems leadership

By Josep M. Coll.

josep-coll
Josep M. Coll (biography)

How can systems leadership be structured in a way that facilitates clarity and organization in its implementation and use, especially given that it is a collective type of leadership that harnesses the power of collective intelligence for solving a complex or wicked problem, in order to enable system-level change?

The SPIRAL of systems leadership is a practical model aimed at framing, developing and facilitating the transformative power of systems leadership for conscious and impactful organizations and practitioners that work in the domain of systemic transformation, regeneration and sustainable development.

SPIRAL is a name mnemonic that helps in remembering the five principles and in organizing the five phases of the model: S for Systeming, P for Purposing, I for Inviting, R for Re-designing and AL for Adaptive Learning, which are shown in the figure below.

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An approach for operationalizing and sustaining systems improvements

By Dintle Molosiwa.

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Dintle Molosiwa (biography)

How can we develop more effective interventions that address root causes of insufficient system performance? How can systems-informed interventions achieve and sustain more impactful system improvements? What strategies ensure multisectoral collaboration in systems improvement initiatives?

This i2Insights contribution is based on experience in improving health systems in South Africa, Senegal, Zambia, Botswana and Chemonics global health supply chain portfolio, but is likely to have wider relevance for other systems and countries.

Colleagues and I (Chemonics Health Practice and SYSTAC Africa Hub, 2024) distilled existing system thinking frameworks into a four-step cycle: examine; co-create; implement and adapt; and adopt and scale.

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