System redesign toward creating shared value

By Moein Khazaei, Mohammad Ramezani, Amin Padash and Dorien DeTombe

authors_moein-khazaei_mohammad-ramezani_amin-padash_dorien-detombe
1. Moein Khazaei (biography)
2. Mohammad Ramezani (biography)
3. Amin Padash (biography)
4. Dorien DeTombe (biography)

How can services that are provided to citizens be overhauled so that they will survive, be competitive and be fair (eg., accessible to all)? Is there a systematic way in which shared value can be created? By shared value we mean combining social and environmental interests with corporate interests.

We have developed a methodology that we call “System redesign toward creating shared value” or SYRCS. It comprises 4 stages, shown in the figure below. They are:

  1. emancipation and critical thinking
  2. problem structuring
  3. multi-criteria and quantitative decision-making
  4. creating shared value.

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Six ways to see systems leadership

By Benjamin Taylor

benjamin-taylor
Benjamin Taylor (biography)

What do we mean by systems leadership? And how does it relate to systems change?

Ideas about both systems thinking and systems change have become prominent over the last few years, but the terms are often poorly defined and used with a range of meanings.

I suggest that there are broadly six types or flavours of systems leadership, all of which have key implications for systems change. And, of course, they can overlap.

1. Systems leadership as a form of better leadership

This is inclusive, mobilising, and systems aware leadership.

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Why awareness raising campaigns cannot fix structural problems

author_pei-shan-loo
Pei Shan Loo (biography)

By Pei Shan Loo

Why are awareness raising campaigns popular? Why can’t they fix structural problems? And how can system dynamics help?

Large amounts of funding for health, societal, environmental and other complex problems are channelled into “awareness raising” to build public recognition of the problem in the hope that understanding will lead to change and a lasting solution.

Why awareness raising campaigns are popular

There are at least four reasons why funding is spent on awareness raising campaigns:

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How systems thinking enhances systems leadership

By Catherine Hobbs and Gerald Midgley

authors_catherine-hobbs_gerald-midgley
1. Catherine Hobbs (biography)
2. Gerald Midgley (biography)

Systems leadership involves organisations, including governments, collaborating to address complex issues and achieve necessary systemic transformations. So, if this is the case, how can systems leadership be helped by systems thinking?

Systems leadership is concerned with facilitating innovation by bringing together a network of organisations. These then collaborate between themselves and with other stakeholders to deliver some kind of service, influence a policy outcome or develop a product that couldn’t have been achieved by any one of the organisations working alone.

Recognising that a network of organisations can achieve something that emerges from their interactions involves a certain amount of implicit systems thinking.

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Can foresight and complexity play together?

By James E. Burke

author_james-burke
James E. Burke (biography)

What is foresight and how does it differ from prediction? What role can complexity play in foresight? Does Cynefin® offer a possible framework to begin integrating foresight and complexity?

In this blog post, I describe how:

  • Foresight identifies clues for the future and integrates them into forecasts
  • Complexity theory offers ways to understand how the future emerges
  • Cynefin® gives us a framework of domains that allows us to better understand trends and forecasts.

What is foresight?

Foresight starts from a place of humility—we cannot predict the future—and an acceptance of ambiguity.

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Three complexity principles for convergence research

By Gemma Jiang

author_gemma-jiang
Gemma Jiang (biography)

How can principles adapted from complexity thinking be applied to convergence research? How can such principles help integrate knowledge, methods, and expertise from different disciplines to form novel frameworks that catalyze scientific discovery and innovation?

I present three principles from the complexity paradigm that are highly relevant to convergence research. I then describe three types of transformative containers that I have developed to create enabling conditions for applying complexity principles to convergence.

1. Ecosystem consciousness: An inversion of perspectives

Ecosystem consciousness is necessary because in complex systems the whole (ecosystem) is bigger than the sum of its parts; the wellbeing of the whole and the parts are interdependent and mutually reinforcing.

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Choosing a suitable transdisciplinary research framework

By Gabriele Bammer

Author - Gabriele Bammer
Gabriele Bammer (biography)

What are some of the key frameworks that can be used for transdisciplinary research? What are their particular strengths? How can you choose one that’s most suitable for your transdisciplinary project?

The nine frameworks described here were highlighted in a series for which I was the commissioning editor. The series was published in the scientific journal GAIA: Ecological Perspectives in Science and Society between mid-2017 and end-2019.

Choosing among them is not a matter of right or wrong, but of each being more or less helpful for a particular problem in a particular context.

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Three principles for co-designing intervention strategies

By David Lam

author-david-lam
David Lam (biography)

What processes are involved when researchers and local actors co-design context-specific intervention strategies? This ‘how to’ knowledge is outlined in the three principles described below. Local actors can include non-governmental organisations, local leaders, community groups and individual activists.

Principle 1. Explore existing and envisioned initiatives fostering change towards the desired future 

This has 3 key steps:

  1. Identifying existing initiatives and knowledge working towards the desired future
  2. Identifying who is involved and leading different existing initiatives
  3. Analysing how existing and possible future initiatives from local actors contribute to changing the state of system elements that need to change for reaching the desired vision or up to an intermediate state.

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Eight grand challenges in socio-environmental systems modeling

By Sondoss Elsawah and Anthony J. Jakeman

authors_sondoss-elsawah_anthony-jakeman
1. Sondoss Elsawah (biography)
2. Anthony Jakeman (biography)

As we enter a new decade with numerous looming social and environmental issues, what are the challenges and opportunities facing the scientific community to unlock the potential of socio-environmental systems modeling?

What is socio-environmental systems modelling?

Socio-environmental systems modelling:

  1. involves developing and/or applying models to investigate complex problems arising from interactions among human (ie. social, economic) and natural (ie. biophysical, ecological, environmental) systems.
  2. can be used to support multiple goals, such as informing decision making and actionable science, promoting learning, education and communication.
  3. is based on a diverse set of computational modeling approaches, including system dynamics, Bayesian networks, agent-based models, dynamic stochastic equilibrium models, statistical microsimulation models and hybrid approaches.

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Fifteen characteristics of complex social systems

By Hamilton Carvalho

Author - Hamilton Carvalho
Hamilton Carvalho (biography)

What is it about complex social systems that keeps reproducing old problems, as well as adding new ones? How can public policy move away from what I call the Mencken Syndrome (in reference to a quotation from American journalist Henry Mencken) – that is, continually proposing clear and simple solutions to complex social problems – that are also wrong!

With this goal in mind, I have compiled a list of fifteen major characteristics of complex social systems based on the system dynamics and complexity sciences literatures, as well as my own research.

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

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.

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Detecting non-linear change ‘inside-the-system’ and ‘out-of-the-blue’

Susan van ‘t Klooster and Marjolijn Haasnoot

Author - Susan van ‘t Klooster
Susan van ‘t Klooster (biography)

Change can be expected, envisioned and known, and even created, accelerated or stopped. But change does not always follow a linear and predictable path, nor is it always controllable. Novelty and surprise are inescapable features of life. Non-linear change can involve threats or opportunities.

Although it defines the world we live in, who we are, the outlooks we have and what we do, we often do not relate to non-linear change in a meaningful way. What is holding us back from engaging with it? How do we deal with non-linear change? And what are promising ways forward?

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