Contains a definition of the ‘problematique’ and 49 illustrative continual critical problems, with the prophecy that unless tackled quickly, they would become so entangled as to be impossible to distinguish.
THE CLUB OF ROME
THE PREDICAMENT OF MANKIND
————
Quest for Structured Responses
to Growing World-wide
Complexities and Uncertainties
A PROPOSAL
1970
link: https://demosophia.com/wp-content/uploads/Predicament-Club-of-Rome-1970-1.pdf
There are a couple of biases I see around how folk inside and outside communities of practice perceive each other. Something I’ve seen often enough that there is probably a name for it.
But I don’t know what that name is.
Some smart social psychologist, anthropologist or sociologist probably wrote about this seventy years ago. So I’m just going to ramble about it here for a bit, and hope that somebody smarter than I am can point me to that paper. So I know what to call it.
Let’s start with the people inside a community of practice. They can be managers, user researchers, developers, product managers, lawyers — it doesn’t matter.
Now in any community of practice some people are going to be awesome practitioners and some folk are going to be terrible — along with everything in-between. For the sake of simplicity let’s use Sturgeon’s Revelation usually stated as “ninety percent of everything is crap”.
If I look around at other people in my role in a company there are going to be some folk who are better and some folk who are worse.
The problem is that this picture is a lie.
Because the distribution of people in a community of practice isn’t random. Good people in a field tend to seek out other good people. They tend to hire other good people. They tend to talk more to other good people.
They cluster.
They also tend to either raise up the folk near them through influence and education, or push them away if they can’t / don’t want to.
Which means that the best practitioners in a community of practice get a really, really inaccurate view of the general level of ability. They see this:
Whereas most people see this:
The best people in a community experience it as 90% awesome, when the reality is 10% awesome.
But it’s worse than that. Way worse.
All the voices in a community of practice are not equally prominent. Who speaks at the conferences? Who writes the articles? Who works on the most exciting and influential projects? We hear the voices of the high performers much more frequently. They have much, much more visibility than everybody else.
The external presentation of a community is 90% awesome, when the reality is 10% awesome.
Continues in source: Sturgeon’s Biases – Quietstars – Medium
Click on link to see full twitter chain: https://twitter.com/Meaningness/status/1010283825333784576
Life and other dissipative structures involve nonlinear dynamics that are not amenable to conventional analysis. Advances are being made in theory, modeling, and simulation techniques, but we do not have general principles for designing, controlling, stabilizing, or eliminating these systems. There is thus a need for tools that can transform high-level descriptions of these systems into useful guidance for their modification and design. In this article we introduce new methods for quantifying the viability of dissipative structures. We then present an information-theoretical approach for evaluating the quality of viability indicators, measurable quantities that covary with, and thus can be used to predict or influence, a system’s viability.
Methods for Measuring Viability and Evaluating Viability Indicators
Matthew D. Egbert and Juan Pérez-Mercader
Artificial Life
Volume 24 | Issue 2 | Spring 2018
p.106-118
Source: www.mitpressjournals.org
It is often said that “human’s are social animals” without really thinking what that implies. Many creatures are social, in the sense that they live in groups, but there are wide differences in what ‘social’ means – from the simple semi-chaos of herding for cattle or deer through to the elaborate, regimented, division-of-labour society of the termite or the honey bee.
View original post 1,346 more words
The idea that everyone in the world is connected to everyone else by just six degrees of separation was explained by the ‘small-world’ network model 20 years ago. What seemed to be a niche finding turned out to have huge consequences.
Source: www.nature.com
High-throughput technologies, offering unprecedented wealth of quantitative data underlying the makeup of living systems, are changing biology. Notably, the systematic mapping of the relationships between biochemical entities has fueled the rapid development of network biology, offering a suitable framework to describe disease phenotypes and predict potential drug targets. Yet, our ability to develop accurate dynamical models remains limited, due in part to the limited knowledge of the kinetic parameters underlying these interactions. Here, we explore the degree to which we can make reasonably accurate predictions in the absence of the kinetic parameters. We find that simple dynamically agnostic models are sufficient to recover the strength and sign of the biochemical perturbation patterns observed in 87 biological models for which the underlying kinetics is known. Surprisingly, a simple distance-based model achieves 65% accuracy. We show that this predictive power is robust to topological and kinetic parameters perturbations, and we identify key…
View original post 103 more words
A lighthearted and conceptual piece intended to communicate something important, was developed at a SCiO board meeting but I take responsibility for any offence or error…
‘four quadrants of systems thinking threats’ https://www.dropbox.com/s/y36i3t9tu9kcgia/four%20quadrants%20of%20systems%20thinking%20threats.jpg?dl=0
In a book series celebrating C. West Churchman, John P. van Gigch digests (and portends to extend) The Systems Approach and its Enemies.
On enemies …
4.1 A MATTER OF DEFINITIONS: ADVERSARIES VERSUS ENEMIES
I note the similarity/difference between the words ‘enemy’ and ‘adversary.’ Other authors use the word adversary (ies) to denote all the forces that impede the progress of his/her own discipline.In the Oxford dictionary (1976), the concepts of adversaries and enemies are considered synonyms. However other sources show a distinction between these two concepts.
An enemy is seen as a hated opponent and is usually considered a person who hates another and eagerly seeks his/her defeat. Words used in lieu of ‘enemy’ include: opponent; hostile army or nation, an alien.
An adversary is an opponent who is not hated; an adversary is someone who is ‘in front of, opposed, coming from another direction, averse…
View original post 936 more words
[This should be interesting – I haven’t had time to watch yet but I bet it is good and entertaining, and as one who might have used the ‘curmudgeon’ (and other) tags for Snowden, it will be interesting to see his response. He also looks increasingly like Mandy Patinkin playing Saul Berenson in Homeland]
By Richard Atherton on 17 June 2018
In this interview, FirstHuman Partner Richard Atherton takes a walk and a tea with Professor Dave Snowden.
Dave Snowden is the creator of the Cynefin complexity framework. His Harvard Business Review paper on this topic is one of the most downloaded HBR papers of all time. Dave has forged a career through is early non-profit work to becoming a leading thinker in knowledge management at IBM. He went on to found the company Cognitive Edge, a pioneering firm in the field of ‘sense making’ within organisations and in applying complexity science to organisational challenges.
In this in-depth interview, Dave shares the philosophy underpinning his work. He talks through how people can apply his insights to leading and managing organisations. He also responses to claims that he can sometime to be seen as something of a curmudgeon!
Source: Managing in complexity – an interview with Prof. Dave Snowden – First Human
Living systems are open self-organizing life forms that interact with their environment. These systems are maintained by flows of information, energy and matter.
Some scientists have proposed in the last few decades that a general living systems theory is required to explain the nature of life.[1] Such a general theory, arising out of the ecological and biological sciences, attempts to map general principles for how all living systems work. Instead of examining phenomena by attempting to break things down into components, a general living systems theory explores phenomena in terms of dynamic patterns of the relationships of organisms with their environment.[2]
Living systems theory is a general theory about the existence of all living systems, their structure, interaction, behavior and development. This work is created by James Grier Miller, which was intended to formalize the concept of life. According to Miller’s original conception as spelled out in his magnum opus Living Systems, a “living system” must contain each of twenty “critical subsystems”, which are defined by their functions and visible in numerous systems, from simple cells to organisms, countries, and societies. In Living Systems Miller provides a detailed look at a number of systems in order of increasing size, and identifies his subsystems in each. Miller considers living systems as a subset of all systems. Below the level of living systems, he defines space and time, matter and energy, information and entropy, levels of organization, and physical and conceptual factors, and above living systems ecological, planetary and solar systems, galaxies, etc.[3]
Living systems according to Parent (1996) are by definition “open self-organizing systems that have the special characteristics of life and interact with their environment. This takes place by means of information and material-energy exchanges. Living systems can be as simple as a single cell or as complex as a supranational organization such as the European Union. Regardless of their complexity, they each depend upon the same essential twenty subsystems (or processes) in order to survive and to continue the propagation of their species or types beyond a single generation”.[4]
Miller said that systems exist at eight “nested” hierarchical levels: cell, organ, organism, group, organization, community, society, and supranational system. At each level, a system invariably comprises twenty critical subsystems, which process matter–energy or information except for the first two, which process both matter–energy and information: reproducer and boundary.
The processors of matter–energy are:
The processors of information are:
James Grier Miller in 1978 wrote a 1,102-page volume to present his living systems theory. He constructed a general theory of living systems by focusing on concrete systems—nonrandom accumulations of matter–energy in physical space–time organized into interacting, interrelated subsystems or components. Slightly revising the original model a dozen years later, he distinguished eight “nested” hierarchical levels in such complex structures. Each level is “nested” in the sense that each higher level contains the next lower level in a nested fashion.
His central thesis is that the systems in existence at all eight levels are open systems composed of twenty critical subsystems that process inputs, throughputs, and outputs of various forms of matter–energy and information. Two of these subsystems—reproducer and boundary—process both matter–energy and information. Eight of them process only matter–energy. The other ten process information only.
All nature is a continuum. The endless complexity of life is organized into patterns which repeat themselves—theme and variations—at each level of system. These similarities and differences are proper concerns for science. From the ceaseless streaming of protoplasm to the many-vectored activities of supranational systems, there are continuous flows through living systems as they maintain their highly organized steady states.[5]
Seppänen (1998) says that Miller applied general systems theory on a broad scale to describe all aspects of living systems.[6]
Continues in source: Living systems – Wikipedia
I’m at a retreat on ‘building the field of systems change’ and was asked about pattern language – what’s a good way to see an overview and grasp core concepts? Probably mentioning the medicine wheel, Nietzsche and ayurveda wasn’t the best way in – though I referenced a bunch of the below. And we connected to Lakoff’s ideas on metaphor and framing.
Any advance on this?
David Ing :
http://coevolving.com/commons/20161028-pattern-manual-for-service-systems-thinking
(includes slides and video)
and much more, for example
https://www.linkedin.com/pulse/alexandrian-pattern-language-wicked-problems-david-ing/
Click to access Ing_Slides_2014.pdf
(and his recent book)
David is the person to speak to for current state of the craft, and controversies, and history
From Christopher Alexander (modern ‘original’ pattern language)
https://en.wikipedia.org/wiki/A_Pattern_Language
https://www.patternlanguage.com/
full pdf http://library.uniteddiversity.coop/Ecological_Building/A_Pattern_Language.pdf
Decent paper:
http://zeta.math.utsa.edu/~yxk833/StructurePattern.html
“The Structure of Pattern Languages”, by Nikos A. Salingaros
This builds on Christopher Alexander but the point in David Ing’s PUARL 2016 paper is that ideas that are based in physical space don’t necessarily apply in social spaces. In particular, service systems are social, not physical – and therefore interactive (see below).
This is probably more useful for complex, human systems: https://ingbrief.wordpress.com/2017/10/29/20171025-0930-michael-mehaffy-horizons-of-pattern-languages-software-cities-planet-plop/
conferences:
PLoP – pattern languages of programmes
https://en.wikipedia.org/wiki/Pattern_Languages_of_Programs
most relevant
PLAST – Pattern Languages for Systemic Transformation
https://www.facebook.com/groups/125513674232534/?ref=nf_target&fref=nf
https://model.report/s/iq7pfa/a_pattern_language_for_systemic_transformation
One of the main things that continues the Alexandrian work is PUARL – http://puarl.uoregon.edu/
The person leading PUARL is Hajo Neis, who is a coauthor with Christopher Alexander https://archenvironment.uoregon.edu/architecture/hajo-neis and http://pages.uoregon.edu/hajoneis/
Helene Finidori is also an interesting and active person to speak to:
https://www.linkedin.com/in/helenefinidori/
And she is closer to, I think, all the group dynamic/facilitation pattern languages
https://groupworksdeck.org/
MG Taylor method : http://www.matttaylor.com/public/public/papers_06/mgt_modeling_language_2.htm
http://www.mgtaylor.com/mgtaylor/gg_description.html
(and of course pattern ‘recognition’ goes much deeper, certainly to cognition and metacognition, see Bongard Games references)
see also https://model.report/s/wr7kjl/a_connection_language_dialogue_methods_collaboration_from_cynthia_kurtz
and the collection of large scale group facilitation techniques:
https://model.report/s/np0uvr/a_collection_of_collective_systems_facilitation_and_delivery_techniques
David says:
‘The conventional description is that “a pattern is a solution to a problem in context”. The challenge, as I’m writing up in the yet-to-be-released workshop proposal for PUARL …
‘In 1966, hierarchical structure (graphically drawn as a root with trees) was criticized in “A City Is Not A Tree” in favour of a semi-lattice (Alexander 1966/1967). Also in 1967, at the formation for Center for Environmental Structure, Pattern Manual then chartered:
‘The environmental pattern language will contain hundreds of subsystems and tens of thousands of individual patterns. Every conceivable kind of building, every part of every kind of building, and every piece of the larger environment will be specified by one or more subsystems of the environmental pattern language.
‘In summary: An environmental pattern language is a coordinated body of design solutions capable of generating the complete physical structure of a city. The language is designed to grow and improve continuously as a result of criticism and feedback from the field (Alexander 1967).
‘So, patterns are less than subsystems, which are less than systems.
‘And the problem is that traditional Alexandrian pattern language is static (as in a built environment) and not interactive (as in a personal computer).’
…’pattern language’ is often used quite loosely for generally useful pattern recognition too.
By bringing fresh air to persistent challenges, we can transcend overwhelm to make a better world together. That’s what we do at THE OUTSIDE: we help collaborators get unstuck with unforgettably pivotal events, capacity-building, and strategy that sparks significant change. Today, we explore the critical ingredient to change that makes a difference: equity. —Tuesday
A conscious practice of equitable systems change often begins with a bang—an abrupt coming-to, a sad realization, a peak of failure or outcry or injustice. Something urgent enough to make us realize the effectiveness and relevance of our systems is diminishing exponentially. From higher up than we have before, we examine the way we live and realize we have more questions than answers.
It dawns on us: the systems governing much of our world are suddenly not as successful as some of us had presumed they should be. Today, this awareness is rapidly shifting:
As society’s peripheral vision expands to acknowledge the innate value, presence, and contributions of more people, those with a legacy of privilege can see what marginalized communities have always seen—that ‘everything is fine’ applies to a shrinking minority. Everything is, quite plainly, not fine.
Continues in source
Systems Community of Inquiry 
You must be logged in to post a comment.