Boundary setting – Integration and Implementation Insights

Five core concepts for understanding systems

October 7, 2025September 16, 2025

By Andrei Savu.

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.

Combining subjectivity and objectivity in systems thinking: The SOS sandwich

August 12, 2025July 15, 2025

By James Stauch and Daniela Papi-Thornton.

mosaic_authors_james-stauch_daniela-papi-thornton — 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.

Key systems thinking lessons from Donella Meadows

October 3, 2023

By Geoff Marlow

The book “Thinking In Systems: A Primer” by Donella (Dana) Meadows (2008) offers a useful entry point into systems thinking via seven lessons.

Lesson 1: Systems are always more than the sum of their parts

Feedback loops are pivotal, as is looking beyond the players to the underlying rules of the game.

Meadows (p. 13) offers guidance as to “whether you are looking at a system or just a bunch of stuff:

Can you identify parts? . . . and
Do the parts affect each other? . . . and
Do the parts together produce an effect that is different from the effect of each part on its own? . . . and perhaps
Does the effect, the behavior over time, persist in a variety of circumstances?”

Assessing assumptions about boundaries with critical systems heuristics

April 22, 2025May 24, 2022

By Werner Ulrich

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?

Four building blocks of systems thinking

February 20, 2023April 12, 2022

By Derek Cabrera and Laura Cabrera

authors_derek-cabrera_laura-cabrera — 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.

How can expertise in research integration and implementation help tackle complex problems?

October 11, 2021March 10, 2020

By Gabriele Bammer

author - gabriele bammer — Gabriele Bammer (biography)

What is expertise in research integration and implementation? What is its role in helping tackle complex societal and environmental problems, especially those dimensions that define complexity?

Expertise in research integration and implementation

Addressing complex societal and environmental problems requires specific expertise over and above that contributed by existing disciplines, but there is little formal recognition of what that expertise is or reward for contributing it to a research team’s efforts. In brief, such expertise includes the ability to:

identify relevant disciplinary and stakeholder inputs
effectively integrate them for a more comprehensive understanding of the problem
support more effective actions to ameliorate the problem.

A checklist for documenting knowledge synthesis

September 11, 2024July 31, 2018

By Gabriele Bammer

How do you write-up the methods section for research synthesizing knowledge from different disciplines and stakeholders to improve understanding about a complex societal or environmental problem?

In research on complex real-world problems, the methods section is often incomplete. An agreed protocol is needed to ensure systematic recording of what was undertaken. Here I use a checklist to provide a first pass at developing such a protocol specifically addressing how knowledge from a range of disciplines and stakeholders is brought together.

KNOWLEDGE SYNTHESIS CHECKLIST

1. What did the synthesis of disciplinary and stakeholder knowledge aim to achieve, which knowledge was included and how were decisions made?

Ten steps to make your research more relevant

February 10, 2025January 23, 2018

By Christian Pohl, Pius Krütli and Michael Stauffacher

authors_christian-pohl_pius-krutli_michael-stauffacher — 1. Christian Pohl (biography)
2. Pius Krütli (biography)
3. Michael Stauffacher (biography)

Interdisciplinary and transdisciplinary research often aims at broader impact in society. But, how can you make such impact happen?

A researcher might face a number of questions (s)he was not necessarily trained to address, such as:

How can I be sure that my research question will provide knowledge relevant for society?
Who in this fuzzy thing called society are my primary target audiences anyway?
Are some of them more important for my project than others?

Over the last several years, we developed 10 steps to provide a structured way of thinking through how to improve the societal relevance of a research project, as summarised in the table below.

Unintended consequences of honouring what communities value and aspire to

June 19, 2024January 26, 2017

By Melissa Robson

It seems simple enough to say that community values and aspirations should be central to informing government decisions that affect them. But simple things can turn out to be complex.

In particular, when research to inform land and water policy was guided by what the community valued and aspired to rather than solely technical considerations, a much broader array of desirable outcomes was considered and the limitations of what science can measure and predict were usefully exposed.

Two frameworks for scoping

September 5, 2024August 16, 2016

By Gabriele Bammer

How can all the possibilities for understanding and acting on a complex social or environmental problem be elucidated? How can a fuller appreciation of both the problem and the options for tackling it be developed, so that the best approach to dealing with it can be identified? In other words, how can a problem be scoped?

The point of scoping is to illuminate a range of options. It moves those dealing with the complex problem beyond their assumptions and existing knowledge to considering the problem and the possibilities for action more broadly.

Practicalities, however, dictate that everything cannot be included, so that scoping is inevitably followed by boundary setting.