Linear and non-linear causality

csl4d's avatarCSL4D

Systems thinking and the nature of reality

Complexity Labs         In my last post I made use of a concept map of linear management, which I had made in January 2013. It was fairly neat and simple and all that with a lot of explanatory power. I used it as a contrast to non-linear management, especially of wicked problems. It satisfied me at the time, but it did not answer all questions. Linear management is one thing, but does that mean there are linear and non-linear systems? Or linear and non-linear problems? What about causality and correlation in complex situations? How exactly should we understand them? I finally googled ‘causality’ and ‘correlation’ in Youtube, which brought me to a ComplexityLabs video. I happen to have a fetish for word combinations for 14 letters, so ComplexityLabs (about) was right for me. They have their own…

View original post 1,315 more words

SCiO Viable System Model – Beginners (SC101) – Summer 2018 Tickets, Sat, 14 Jul 2018 at 09:30 | Eventbrite

 

SCiO Viable System Model – Beginners (SC101) – Summer 2018

SCiO – Systems in Cybernetics in Organisation (PDP)

Saturday, 14 July 2018 from 09:30 to 17:00 (BST)

Ticket Information

Please book through EventBrite.

SCiO members £40

Open University student £40

Public £100

Share SCiO Viable System Model – Beginners (SC101) – Summer 2018

Event Details

This is a whole day workshop designed for those relatively new to VSM and provides basic training in building a Model of an organisation using VSM.

The attendees work together in groups to develop their model of a case study organisation and to diagnose weaknesses. The workshop follows a structured approach, with a series of steps that take the groups through a modelling process in (relatively!) easy stages.

The case study is based on a real organisation – a medium sized IT and office supplies company and provides a platform for developing the skills needed to take normal organisational information, show how that relates to the VSM and how the VSM can provide a set of new insights into the company.

The workshop will be run by Patrick Hoverstadt of Fractal Consulting.

Booking

The workshop is open to members and non-members of SCiO. The fee for members and OU students is £40 and for all others is £100. Places are limited, so please book early.

Venue

Development House, 56 – 64 Leonard St, London, EC2A 4LT

http://www.ethicalproperty.co.uk/developmenthouse.php

Timing

9.30am for a prompt 10am start. Finishing at 5pm.

There will be a break for lunch (bring your own, or some eating and food places are near by).

Source: SCiO Viable System Model – Beginners (SC101) – Summer 2018 Tickets, Sat, 14 Jul 2018 at 09:30 | Eventbrite

Wake up to find out that you are the eyes of the world! Daniel Christian Wahl

The ‘Santiago Theory of Cognition’ proposed by the Chilean biologists and neuroscientists Humberto Maturana and Francisco Varela offers a…

Source: Wake up to find out that you are the eyes of the world!

Complexity Live — June 8 6pm GMT (7pm BST)

Complexity Live

by HumanCurrent

The co-hosts of The HumanCurrent are very excited to announce they are collaborating with Complexity Labs for a series of live streaming video conversations about all things complexity.

We are calling this video discussion series “Complexity Live” and it will be a once a month event hosted on Google Hangouts (YouTube Live) at Complexity Labs Youtube Channel .

Our very first Complexity Live will take place Friday, June 8th at 6PM GMTand anyone with a curious mind can listen in and ask questions while the conversation unfolds. If you are unable to attend the live event, don’t worry, you will still be able to watch the recorded conversation on Youtube.

Complexity Live group discussions will include up to 10 people and we are extending invitations to anyone interested in being an active participant. If you would like to become an active participant in our upcoming conversation on June 8th, please fill out this form.

We want to encourage all our community members to join these live events, because there could be some surprise guests joining the conversation 🙂

We hope to see you at Complexity Live!

You can listen to the HumanCurrent podcast here and don’t forget to subscribe in iTunes. Listen to our recent podcast interview with co-author of Embracing Complexity, Jean Boulton. Let’s work happy!

 

Source: Complexity Live — HumanCurrent

SCiO Open Meeting and AGM – Summer 2018 Mon, 16 Jul 2018, London UK

An open meeting where a series of presentations of general interest regarding systems practice will be given – this will include ‘craft’ and active sessions, as well as introductions to theory.

09:30 – an introduction to the viable system model. Main presentations start at 10:00.

Please note that the AGM will follow on from the open day (for members)

DATE AND TIME

Mon 16 July 2018

09:30 – 17:00 BST

Add to Calendar

LOCATION

BT Centre

81 Newgate Street

London

EC1A 7AJ

Source: SCiO Open Meeting and AGM – Summer 2018 Tickets, Mon, 16 Jul 2018 at 09:30 | Eventbrite

Lankelly Chase’s approach to working with complexity – with comments

Lankelly approach to change (pdf): https://lankellychase.org.uk/our-approach/system-behaviours/

 

I’ve responded to this at a little bit of length because there’s no comments field on the Lankelly Chase website, and because:

  1. I care about this and think it is very improtant
  2. We are doing a very related piece of work on local systems change for save the children (which I hope will be published one day), so these issues are very live for me
  3. I’m about to go on a retreat to discuss local systems change
  4. I see a recurrence of some loose language and maybe some lazy thinking which I think is hugely risky
  5. I think just a little more grit in the oyster and realism about this would add a lot

Benjamin

 

Lankelly Chase’s approach to working with complexity

[with my comments in square brackets]

What does effectiveness look like when working in situations of complexity? How do we understand what to do or where to start? How do we attribute results to our actions?  These questions go to the heart of our feelings of competence and agency.

When you choose to contend with complexity, as we do at Lankelly Chase, you start to realise how professionalised structures help to keep such troubling questions at bay. Projects, programmes, hierarchies, funding cycles, milestones, service level agreements, budgets, key performance indicators all feed our need for certainty and order. The messy unboundaried web of interdependencies recedes behind a dense framework of process and structure, and with it our feelings of anxiety and helplessness.

Except, of course, the complex reality remains undiminished, and containing it with our structures proves as slippery as clambering onto an unruly lilo in a choppy sea. Worse still, our need for orderly structure can make a bad situation worse. It obscures our appreciation of the issues we need to address, leading us to act as if the situation weren’t in fact complex, and so denying the lived experience of people caught up in the web.

Lankelly Chase’s mission is to change the systems that perpetuate interlocking disadvantages such as homelessness, mental ill health and substance misuse. Until recently, our default mode was to fund interventions and projects for 3-6 years. At some level, we knew that life cycle problems could not be solved by grant cycle solutions, but as a relatively small grant funder what else could we do? Answering this question required us to face the possibility that despite our mission and good intentions we might be playing our own part in a perpetuating system.

For us, this came down to a judgement about whose needs were being met: were we funding projects, interventions and organisations because this was genuinely the most effective contribution a funder of our modest size could make or because we felt comfortable funding projects, interventions and organisations? While realism about our size has always been critical to how we understand our effectiveness, it became increasingly clear that it had led us to reduce our understanding of the problem to the scale of our preferred response to it.

As an independent funder, we felt we had a responsibility to resist reductivism: “if we can’t then who can?” But feeling responsible and knowing how to act are not the same.  We are so conditioned to operate within reductive structures that stripping them away leaves us with very little. The paralysing confusion and anxiety all come crashing in.

We have just published a revised description of our approach to change which sets out how we seek to take action in a situation of high complexity. The thinking behind it can be summed up as follows: Lankelly Chase has a growing conviction that the outcomes we seek can only happen through the actions of whole systems. Although there are many parts of a system – projects, workers, organisations, rules, funding, communities, institutions – that have a bearing on a particular disadvantage or harm, they are all continually affecting each other. No individual part exists or has an effect in isolation of the others. This leads us to think that sustainable change depends on the way all the parts interact.

[This means that we have to think about changes in the structure of systems – and the system behaviours and change approach have one particular slant on that. There is, of course, a distinction between reductive structures (I agree that these proliferate), and those which absorb complexity, or usefully attenuate variety]

What we find in the field of severe and multiple disadvantage is that the overwhelming majority of energy, attention and resource is dedicated to improving the parts of the system. This is understandable because those parts tend to be knowable and to an extent controllable, whereas the relationships between them take us into much less solid or definable territory. However, a collective focus on the parts has ultimately, in our view, been self-defeating because each can only be as good as its relationship with the rest.

Lankelly Chase decided to shift from this majority position to focus on growing the health of the relationships between the parts. Given how nebulous such a challenge could become, our first step was to ground our approach in the work of our many partners. We set about observing closely what effective relationships in situations of complexity actually look like, and what our partners needed in order to connect their part of the system effectively with the rest.  We looked at what they were doing in many different contexts, and consulted widely with many different system actors, until we were able to distil our learning into nine system behaviours. (Some people call these system conditions or even pre-conditions.)  We asserted that it was the presence of these behaviours in a system, rather than the action of any one organisation or project, that explained its effectiveness.

[I’m sceptical of some of this – see below]

So then what? Given that we were moving into largely unoccupied territory, we knew that we couldn’t map out outcome-determined programmes, not least because they are so ill-suited to situations of high complexity. We decided that our role was to create the infrastructure that would enable us and our partners to explore how to create healthy systems. We had a specific purpose in mind: to work out what it would take to embody the system behaviours at a scale that would ultimately make a difference to outcomes.

[We have to be careful with words like infrastructure, ‘actions of whole systems’ (when we’re talking about ‘the system’ being ‘unboundaried’), and embodying behaviours]

The methodology we agreed on was action inquiry, which we characterise as acting our way into a new way of thinking through continual iteration and learning. We now use our resources, along with the independence, flexibility and longevity they allow, to create collaborative spaces for our partners to explore ways of building the health of systems, increasingly at the level of a place.

[Note that independence, flexibility, and longevity are specifically divorced/outside of the context of the systems being discussed – this has some interesting (and useful) implications]

Frankly we don’t know where this new approach might take us, what ‘scale’ might look like or indeed whether the system behaviours will ultimately turn out to be right or helpful. Our current dream is of a critical mass of people thinking and acting in a more systemic way and thereby ‘tipping’ the way the whole system behaves. But we’ve no clear plan for how this might show up in the world, not least because we know best-laid plans don’t work with complexity.  So returning to the opening question, what would the effectiveness of such a strategy look like?

Our Chair Myron Rogers has coined a very astute maxim: “the process you use to get to the future is the future you get”.

[Interesting – I remember having a lot of discussions with marxists/socialist about whether the character of the revolution predetermined the character of the revolutionary state! And Conway’s Law – “organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations —M. Conway”  – see discussion at https://model.report/s/uav5w7/conway_s_law_-_wikipedia_the_free_encyclopedia . This is something it’s very good to take seriously, I think – but it can lead to the fallacy (which must have a good name somewhere!) of believing that however we design ourselves will generate the design of the system we’re designing. Unfortunately, there are some laws of nature/systems laws too which have to be taken into account – and utopian models don’t always translate into utopian outcomes. Worth looking at some of these other laws in that context eg.

https://model.report/s/1eylfc/galls_law_of_system_design

A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works and cannot be patched up to make it work. You have to start over with a working simple system. – John Gall (1975, p.71)

https://model.report/s/iof5tt/law_of_requisite_hierarchy 

“The weaker the average regulatory ability and the larger the average uncertainty of available regulators, the more requisite hierarchy is needed in the organization of regulation and control for the same result of regulation… . [In other words], the lack of regulatory ability can be compensated to a certain extent by greater hierarchy in organization.”

And most importantly, the Conant-Ashby theorem (every good regulator must have a model of the system it regulates – based on Ashby’s law that only variety can absorb variety)

https://model.report/s/0migpd/every_good_key_must_be_a_model_of_the_lock_it_opens_the_conant_ashby_theorem_revisited_by_daniel

https://model.report/s/sbmdws/a_primer_for_conant_ashby_s_good-regulator_theorem_by_daniel_l_scholten

(and I put a whole bunch together here – https://www.dropbox.com/s/g6mn7ukyjip1gp1/Taylor%E2%80%99s%20miscellany%20of%20systems%20thinking%20%28includes%20Clemson%E2%80%99s%2022%20principles%2C%20laws%2C%20and%20theorems%29.pdf?dl=0) ]

This feels right to us, and we have taken it to mean that we at Lankelly Chase also have a responsibility to embody the nature of the change we want to see. Once you start to see yourself as part of – rather than apart from – a system, then a lack of congruence between how you act and how you want others to act shows up pretty quickly. It turns out that if you concern yourself with the health of a system, acting effectively and acting ethically start to look pretty much the same.

In publishing an updated account of our approach, our aim is to expose our thinking to many alternative perspectives so that they can help reveal our blind spots, connect our approach with many interrelated parts of the system, question its boundaries, and above all challenge the privileged space we hold in an unequal system. All of these are ethical concerns that connect directly with how we can judge our effectiveness in a complex system. Organisations are rarely the best judges of their own ethics and effectiveness, and can persuade themselves of many things. So we genuinely welcome the inconvenient truths as much as the odd bit of encouragement.

Lankelly Chase Systems Behaviours

We have identified core behaviours that help systems function better for people facing severe and multiple disadvantage. Through observing different fields including homelessness, violence, health, the arts, community development, substance misuse and youth work, we’ve seen that (i) it is the presence of these behaviours, more than any specific methodology, that seems to account for positive change and (ii) these behaviours need to be present and continually promoted in every part of the system.

These behaviours are about perspective, power and participation.

PERSPECTIVE

  1. People view themselves as part of an interconnected whole

Everyone working towards positive change understands that their actions form part of a web of activity made up of the contribution of many others. Everyone wants the system as a whole to work, and knows they cannot control it.

  1. People are viewed as resourceful and bringing strengths

Everyone is viewed as bringing both strengths and weaknesses as part of a resourceful network of people who are continually growing and learning from each other.

  1. People share a vision

People appreciate each other’s perspectives and seek common purpose and understanding.

[I agree that these are Good Things, my only quibbles are: 

1- we should be careful to note that, at the very least, there are some negative self-fulfilling prophecies that quite powerfully ‘control’ systems – financial incentives and narrow targets control systems very ‘effectively’ indeed. And good systems do not need everyone to hold the beliefs indicated (though they are nice and possibly helpful to have) – people can work brilliantly in their silos and still be part of a superb system.

2- this is very powerful. But staringt from this, and from action inquiry (and from noting that perspectives really demonstrate whole experiences and shape behaviours) would be far more appreciative

3- sharing a vision is not the same as appreciating each other’s perspectives – the norm here is a ‘nice’ one so how does this engage with the real world?

The risk is here, that in privileging a certain type of systems view, we seek to norm that and judge or impose those who are not capable or do not want to or have other incentives.]

POWER

  1. Power is shared, and equality of voice actively promoted

All people are able to play their fullest role in building an effective system. Unequal distribution of power, including structural inequality, is continually addressed.

  1. Decision-making is devolved

Those people closest to a complex situation are free to engage with its uniqueness and context and to use their initiative to respond to it.

  1. Accountability is mutual

System improvements are driven by accountability to the people being served. The people being served are supported to take responsibility for their own change.

[This gets really challenging. These are norms, and they may or may not be appropriate. Sharing of power and devolution of decision-making and mutual accountability could lead to the worst of the breakdown of the hippy communes or death cults. And how does this norm work with those who actually have power? I would like to see these seriously inquired into and rethought. Equality of voice is not appropriate in all circumstances (equality of voice of abusers? In what context?). Devolved decision-making is ambivalent – surely this means appropriate devolution of decision-making? And what are the mechanisms that might bring about mutual accountability? Each of these assertions are value-less but are being applied with an implicit ethical lense, and that’s a dangerous fudge at times]

PARTICIPATION

  1. Open, trusting relationships enable effective dialogue

People feel safe to ask the difficult questions, voice disagreement and deal with the conflict and uncomfortable emotions that surface.

  1. Leadership is collaborative and promoted at every level

Leadership is identified and valued as much in the person experiencing interlocking disadvantages and the frontline worker, as in the CEO or commissioner.

  1. Feedback and collective learning drive adaptation

People can see a learning loop between the actions they take and their understanding of the problem they are trying to solve, so that each is being continually adapted and refined.

[All good and good aspirations – and conflict and emotions are recognised in (7). What does leadership mean in (8)?]

Assumptions

We hold five assumptions about the nature of systems which come from our experience of supporting change across the UK:

  1. Systems are complex and often messy webs that are constantly shifting. They consist of tangible things like people and organisations, connected by intangible things like history, worldviews, context and culture. [Yes]
  2. Everyone who is part of a system holds a different perspective on its nature, purpose and boundaries. No one person holds the whole truth (including us). [There’s a risk here of sliding into thinking ‘and if we simply hold this true and bring all perspectives together, we can see everything]
  3. Everything and everyone exists in relationships, and these involve emotions. [Bloody ace]
  4. Change emerges from the way the whole system behaves not from the actions of any one project or organisation. We therefore need to help build the fitness of the system to generate positive change. [This is of course, at minimal recursive and potential self-contradictory. One project or organisation therefore needs to find ways to change the behaviour of the ‘whole system’]
  5. The complexity of systems means we can’t fully plan how to achieve the changes we seek, but we can identify several conditions that enable positive change and the actions that are likely to move us toward our goal.

Distrust Simplicity:

Harish's avatarHarish's Notebook - My notes... Lean, Cybernetics, Quality & Data Science.

whitehead_painting

In today’s post, I will be looking at the famous quote from the famous English mathematician and philosopher, Alfred Whitehead.

Seek simplicity, and then distrust it.

This quote comes from his 1920 collection of lectures, The Concept of Nature. The quote is embedded in the paragraph below:

Nature appears as a complex system whose factors are dimly discerned by us. But, as I ask you, Is not this the very truth? Should we not distrust the jaunty assurance with which every age prides itself that it at last has hit upon the ultimate concepts in which all that happens can be formulated? The aim of science is to seek the simplest explanations of complex facts. We are apt to fall into the error of thinking that the facts are simple because simplicity is the goal of our quest. The guiding motto in the life of every natural…

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The meaning of the public good | Inquirer Opinion

The meaning of the public good

Aristotle wrote that the city-state is composed of citizens who constitute a community of individuals who are governed by a constitution. He thinks of the state constitution as one that is analogous to the soul of a living organism. It is the immanent principle that organizes the way of life of the people.

For the state to function well, a ruling authority acts as a lawgiver, who will govern the city-state the way a good craftsman would fashion his product. For Aristotle, the establishment of the state must aim at some good. In “Politics,” he writes that the good life is the goal of any political community.

Kant objects to Aristotle. For him, even the welfare of citizens cannot be the basis of the authority of the state. The good life, fashioned out of a political arrangement, will only serve as some form of imposition on citizens. “There is only one innate right,” Kant argues, and that is the freedom “from being constrained by another’s choice.”

Kant thus thinks it is wrong for the state to formulate any particular meaning of the good. To do so means that a ruler is simply taking away from citizens the capacity to make rational judgments about their own lives.

Freedom in the political sense is not about the freedom of the will. Rather, it is about the independence of the human being as an actor in the state. Kant is not concerned about the choices that individual subjects make, but by what others decide for their fellow citizens. For Kant, the use of human freedom must be properly guided by rationality. As a free and rational being, every person must be respected and not precluded from making his or her own decision. Yet Kant does not say that the state acts as some kind of an impediment to human freedom.

The existence of the state is based on a social contract. The citizens give the state the consent to be governed. As rational subjects, each individual possesses the ability to agree to the social contract that binds him or her to the agreement. The individual as a subject, however, cannot be coerced to become part of the social contract. The social contract exists because it guarantees the protection of the rights of the parties. It is not about the benefit that one stands to get, but the guarantee that one’s dignity as a person is respected.

In response, Alasdair MacIntyre in “After Virtue” endorses the Aristotelian ideal of shared ends. He criticizes the inability of the liberal tradition to go beyond the shackles of the Enlightenment. MacIntyre believes that it was wrong to abandon Aristotle’s ideal of the state. In particular, he attacks Nietzsche’s conception of the superman. The superman is a man with no history, not bound by values, and whose idea of individualism leads nowhere.

A problem now becomes apparent. There appears to be an obvious conflict between the values of the community and the idea of liberty. The meaning of the public good, indeed, can only be derived after we, as citizens, resolve this conflict.

Continues in source: The meaning of the public good | Inquirer Opinion

LEKTON – being a belated introduction by Warren S McCulloch to the LOGICAL STRUCTURE OF MIND. An inquiry into the philosophical foundation of psychology and psychiatry by Eilhard von Domarus

From the often fruitful CYBCOM google groups mailing list and I, like the electric monk, am posting it here in lieu of the time to read it properly.

 

Von Domarus, E. (1967). “The logical structure of mind (with an introduction by W. S. McCulloch)”. In L. O. Thayer (Ed.),Communication: Theory and Research. Springfield, IL: Chas. C. Thomas. https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19650017787.pdf

The blind men and the elephant – Wikipedia

 

Source: Blind men and an elephant – Wikipedia

Complexity Explorer Glossary

Source: Complexity Explorer

full text of Rethinking The Fifth Discipline: Learning Within the Unknowable Paperback – 22 Jul 1999 by Robert Louis Flood 

per Amazon:

‘Fifth Discipline’ is one of the very few approaches to management that has attained position on the International Hall of Fame. Professor Flood’s book explains and critiques the ideas in straight forward terms. This book makes significant and fundamental improvements to the core discipline – systemic thinking. It establishes crucial developments in systemic thinking in the context of the learning organisation, including creativity and organisational transformation. It is therefore a very important text for strategic planners, organisational change agents and consultants.
The main features of the book include:

  • a review and critique of ‘Fifth Discipline’ and systemic thinking
  • an introduction to the gurus of systemic thinking – Senge, Bertalanffy, Beer, Ackoff, Checkland, and Churchman

*a redefinition of management through systemic thinking
*a guide to choosing, implementing and evaluating improvement strategies
*Practical illustrations.
Robert Flood is a renowned and authoritative expert in the field of management. He has implemented systemic management in a wide range of organisations in many continents and lectured by invitation in 25 countries, including Japan and the USA. Professor Flood has featured on many radio and TV programs. His book Beyond TQM was nominated for the ‘IMC Management Book of the Year 1993’.

It takes a system to change a system

bweir2013's avatarSystems Leadership, Lessons & Learning

“….how would it be to have a space in which we as systems leadership developers, could come together and discuss our work?”

At the end of another day working with healthcare leaders intent on leading more effectively across their care system, one of the participants came up to me.

“I wanted to ask you,” she started, and then stopped.

pens 2

I glanced up from packing away my pens. She went on,

“The thing is…aren’t we just setting people up to fail?”

“Mmm…in what way?”

“Well, we come to a class like this and it’s great…we explore systems thinking, and the challenges of leading in systems, and we think about the behaviours of good system leaders – collaborating, listening to each other, valuing difference, adapting to VUCA conditions, asking questions – and then we go back with all that energy into our organisations and nobody wants to know…people talk over…

View original post 1,313 more words

Understanding Society: Social generativity and complexity – Daniel Little

Social generativity and complexity

The idea of generativity in the realm of the social world expresses the notion that social phenomena are generated by the actions and thoughts of the individuals who constitute them, and nothing else (linklink). More specifically, the principle of generativity postulates that the properties and dynamic characteristics of social entities like structures, ideologies, knowledge systems, institutions, and economic systems are produced by the actions, thoughts, and dispositions of the set of individuals who make them up. There is no other kind of influence that contributes to the causal and dynamic properties of social entities. Begin with a population of individuals with such-and-so mental and behavioral characteristics; allow them to interact with each other over time; and the structures we observe emerge as a determinate consequence of these interactions.

This view of the social world lends great ontological support to the methods associated with agent-based models (link). Here is how Joshua Epstein puts the idea in Generative Social Science: Studies in Agent-Based Computational Modeling):

Agent-based models provide computational demonstrations that a given microspecification is in fact sufficient to generate a macrostructure of interest…. Rather, the generativist wants an account of the configuration’s attainment by a decentralized system of heterogeneous autonomous agents. Thus, the motto of generative social science, if you will, is: If you didn’t grow it, you didn’t explain its emergence. (42)

Consider an analogy with cooking. The properties of the cake are generated by the properties of the ingredients, their chemical properties, and the sequence of steps that are applied to the assemblage of the mixture from the mixing bowl to the oven to the cooling board. The final characteristics of the cake are simply the consequence of the chemistry of the ingredients and the series of physical influences that were applied in a given sequence.

Now consider the concept of a complex system. A complex system is one in which there is a multiplicity of causal factors contributing to the dynamics of the system, in which there are causal interactions among the underlying causal factors, and in which causal interactions are often non-linear. Non-linearity is important here, because it implies that a small change in one or more factors may lead to very large changes in the outcome. We like to think of causal systems as consisting of causal factors whose effects are independent of each other and whose influence is linear and additive.

A gardener is justified in thinking of growing tomatoes in this way: a little more fertilizer, a little more water, and a little more sunlight each lead to a little more tomato growth. But imagine a garden in which the effect of fertilizer on tomato growth is dependent on the recent gradient of water provision, and the effects of both positive influencers depend substantially on the recent amount of sunlight available. Under these circumstances it is difficult to predict the aggregate size of the tomato given information about the quantities of the inputs.

One of the key insights of complexity science is that generativity is fully compatible with a wicked level of complexity. The tomato’s size is generated by its history of growth, determined by the sequence of inputs over time. But for the reason just mentioned, the complexity of interactions between water, sunlight, and fertilizer in their effects on growth mean that the overall dynamics of tomato growth are difficult to reconstruct.

Now consider the idea of strong emergence — the idea that some aggregates possess properties that cannot in principle be explained by reference to the causal properties of the constituents of the aggregate. This means that the properties of the aggregate are not generated by the workings of the constituents; otherwise we would be able in principle to explain the properties of the aggregate by demonstrating how they derive from the (complex) pathways leading from the constituents to the aggregate. This version of the absolute autonomy of some higher-level properties is inherently mysterious. It implies that the aggregate does not supervene upon the properties of the constituents; there could be different aggregate properties with identical constituent properties. And this seems ontological untenable.

The idea of ontological individualism captures this intuition in the setting of social phenomena: social entities are ultimately composed of and constituted by the properties of the individuals who make them up, and nothing else. This does not imply methodological individualism; for reasons of complexity or computational limitations it may be practically impossible to reconstruct the pathways through which the social entity is generated out of the properties of individuals. But ontological individualism places an ontological constraint on the way that we conceptualize the social world. And it gives a concrete meaning to the idea of the microfoundations for a social entity. The microfoundations of a social entity are the pathways and mechanisms, known or unknown, through which the social entity is generated by the actions and intentionality of the individuals who constitute it.

Source: Understanding Society: Social generativity and complexity

Eight infographics on Systems Methods (UToronto iSchool 2018) – Coevolving Innovations

[I love when David Ing shares his students’ infographics – truly rich sources of overview on systems thinking]

Learning only a single systems method is reductive.  A course that exposes breadth in a variety of systems methods encourages students to reflect on their circumstances-at-hand, and their explicit and implicit influences on guiding others in projects espousing systems thinking.  This was a premise behind the structuring of “Systems Thinking, Systems Design“, an Information Workshop (i.e. 6-week elective quarter course) offered to master’s students at the University of Toronto Faculty of Information (iSchool).

The first class day had a short course introduction focused on the history of the systems sciences, and a minimal orientation to the most basic concept in systems theory.  Then, for the four class days that followed, student groups led 8 presentation-facilitations on a research reference cluster (with the instructor on standby as a subject matter expert on the content).  The topics included:

  1. Object Process Methodology
  2. Dialogue Mapping
  3. Idealized Design
  4. Soft Systems Methodology
  5. Viable System Model
  6. Resilience in Socio-Ecological Systems
  7. Service Systems
  8. Generative Pattern Language

After each of the four days, students wrote Personal Appreciation Diary Logs (blog posts), mostly on the open web.  These provided feedback to the instructor for commentary (and some remediation) at the beginning of the subsequent class meeting.  We could review common understandings, difficulties and misconceptions about systems methods.

For the last (sixth) class meeting, each student group was asked to “prepare and present an infographic poster on their impressions about the system approaches most relevant to their research”.  The conclusions reflected different interests, experiences and orientations amongst the iSchool students.

Continues in source: Eight infographics on Systems Methods (UToronto iSchool 2018) – Coevolving Innovations