Discovering tools for community empowerment in local governance and economic development efforts.
It is intended to offer resources and explore ideas with the potential of purposefully directing the momentum needed for communities to create their own new community paradigms.
It seeks to help those interested in becoming active participants in the governance of their local communities rather than merely passive consumers of government service output. This blog seeks to assist individuals wanting to redefine their role in producing a more direct democratic form of governance by participating both in defining the political body and establishing the policies that will have an impact their community so that new paradigms for their community can be chosen rather than imposed.
Thursday, March 8, 2018
Systems Practice - Choosing a Side
Saturday, December 16, 2017
Systems of Complexity, Complexity of Systems Part 2
There are differences between thinking that systems are ‘out there’, a position reinforced by the naming of ‘recognized’ systems in everyday language; and of seeing those systems as mental constructs useful for helping to explain how complex situations work. These can be configured as explanatory systems, as in ‘it’s the system for making the trains run on time’ with the level of the description being an additional distinction in defining the system.
If, however, as the SP UK course seems to admit, such an explanatory system exists anywhere then, it is in the mind of the individual(s) who conceives of it, being simply a particular way of thinking about selected aspects of the world and how their interrelationships are useful in relation to an individual’s concerns.
This brings to mind Chris Argyris' Ladder of Inference, as well as his theories of action, single and double-loop learning and organizational learning in, "Teaching Smart People How To Learn” considered previously by New Community Paradigms, especially in addressing meta-issues.
Throughout the history of Western thought and practice of science and philosophy, the question whether to focus on parts or the whole has given rise to two different approaches. Emphasizing the parts has been referred to as mechanistic, reductionist or atomistic while emphasizing the whole has been termed holistic, organismic or ecological.
Two distinctive attributes, according to the SP UK course, can be derived from the word system, systemic and systematic. Systemic thinking or thinking in terms of wholes may be contrasted with what the course terms systematic thinking, which is linear, step-by-step thinking. Personally, I would replace systematic with complicated as NCP has used the term systematic in a different manner in the past.
The SP UK course provides a list of some of what it considers some of the characteristics distinguishing systemic thinking with systematic thinking: whole vs parts, abstract (based on perspective of participants) vs concrete, individual perspectives vs non-perspective, greater than sum of parts vs reductionistic, holistic organization vs building blocks, nested systems vs foundation of parts understood, contextual vs analytical, and concern with process vs concerned with entities and properties. One argument by the SP UK course is that systemic thinking is geared towards systems of interest.
As Fritjof Capra (1996) noted: “In twentieth-century science, the holistic perspective has become known as ‘systemic’ and the way of thinking it implies ‘systems thinking’.” Capra also claimed systems thinking as being ‘contextual’ thinking'; as in explaining things in their context which means explaining them in relation to their environment, it is also seen then as being environmental thinking by the SP UK course.
Similarly, it is possible to recognize differences between systemic practice or action and systematic practice or action. With systematic practice the decision-maker claims to be objective and remains ‘outside’ the system, the system is seen as distinct from the environment, perception and action are based on belief in ‘real world’, ethics and values are not addressed as a central theme and traditions of understanding are not questioned although method of analysis may be evaluated.
Whereas with systemic practice the role and the action of the decision-maker is very much part of an interacting ecology of systems, interaction of practitioner and system of interest within a context (environment) is the main focus, perception and action based on experience of the world, especially those that connect entities and meaning generated by viewing events in their contexts, ethics are perceived as being multi-leveled as are the levels of systems themselves and the attempt is made to stand back and explore the traditions of understanding in which the practitioner is immersed.
This leads to important distinctions between the two ways in which the term ‘system’ is used depending on traditions and practices. Some more commonly recognized designations or levels of systems based on Kenneth Boulding’s hierarchy of systems or of complexity, in these instances of more dynamic complexity involving rational-technical levels, including:
- Mechanistic, from static structural frameworks, such as bridges and crystals to simple self-maintaining open systems that such as living cells to lower organisms such as plants that have separate organs but little control over their own development.
- Animals that have a brain to guide behavior and an ability to learn.
- A personal level involving humans who exhibit language, self-consciousness, and conscious acquisition of knowledge.
- An environmental level involving socio-cultural systems whose members have different tasks but shared values, and which have a lot of internal communication.
- As well as a seemingly added level of spirituality involving transcendental systems such as the idea of God or inescapable unknowables.
The Systems Practice UK course goes on to differentiate between simple purposive systems and complex purposeful systems which begin to integrate type 1 complexity with more diverse social, cultural, psychological complexity with the assumed intention of navigating both with systems of interest. This, however, arguably adds another source of complexity to those considerations for those without adequate familiarity with systems thinking necessitating a requirement to demonstrate the value-added benefit of taking additional effort and ostensibly enhancing the involved complexity.
Systems Practice UK then seeks to use the appropriate language or means of communicating data to define and distinguish systems of interest within complex situations as epistemological devices rather than actual ontological things out there. Casti's (1994) classifying characteristics exhibited by simple and complex systems can be seen as actual ontological things but the SP UK course seems to revise this to address situations regarded as simple ‘purposive systems’ and situations regarded as complex ‘purposeful systems’ again reflecting a view of systems as conceptual epistemological devices.
Simple purposive systems, or what I would term complicated systems, exhibit predictable behavior as with a fixed interest bank account. Have few interactions and feedback or feedforward loops as with a simple barter economy of few goods and services. Power is concentrated among a few decision makers through centralized decision-making. It is possible to look at components, which because of weak interactions are decomposable without losing properties of the whole.
Complex purposeful systems can generate counterintuitive, seemingly acausal (non-linear) behavior that is full of surprises such as lowering taxes and interest rates leading to higher unemployment. It can involve a large array of variables with numerous interactions, lags, feedback loops and feed-forward loops, creating the possibility that new, self-organizing behaviors will emerge. The numerous components generate the actual system behavior. They are irreducible, so neglecting any part of the process or severing any of the connections linking its components invariably destroys essential aspects of the system's behavior or structure resulting in dynamic changes in the system and the environment. Decision-making is decentralized as a result, power, therefore, becomes more diffuse.
This view once adopted, however, has implications for systems thinking and systems practice. Exploring these implications will assist in deciding what course of action works best for any particular practitioner.
The instructor’s perspective is that it is usually more appropriate to approach the task systemically when managing or intervening in complex situations. Systemic thinking provides the context for systematic thinking and action. Both systematic thinking and systemic thinking have their place. It is not that systemic is good, systematic is bad. They are not in opposition in the hands of an aware practitioner and can be complementary in dealing with complex situations. An ideal, aware, systems practitioner then is one who is able to distinguish between systemic and systematic thinking and is able to embody these distinctions in practice. This would have implications for the initial starting conditions for any form of purposeful action as to whether to start out systemically or systematically.
Monday, December 4, 2017
Systems Practice Entwining Complexity with Rationality and Emotion
The attributes that distinguish messes from difficulties concern their scale and the uncertainty associated with them and whether these aspects were bounded or unbounded. To describe a situation as messy implies that in some important respects it is unbounded rather than if just a difficulty which then would be bounded. In addition, there is also the issue of complexity including elements of rational and emotional aspects of complexity that need to be considered.
• Difficulties, being well-defined and more limited situations, mainly involve hard complexity. Given a particular view of the matter, what is the best that can be done?
• Messes, on the other hand, are ill-defined; they include large measures of both hard and soft complexity. Of course, this may not be obvious at first and some or all of those involved may fail to recognise the soft complexity: they may initially resent alternative viewpoints, perhaps seeing them as misguided or even wilful attempts to confuse the ‘real’ issue.
According to the current course, complexity is not just a matter of there being many different factors and interactions to bear in mind in a multitude of combinations and permutations of possible decisions and events.
Complexity is also generated by the very different constructions that can be placed on those factors, decisions and events. It is not only a matter of technical or computational issues with which engineers and operational researchers deal or of the uncertainty, even irreducible uncertainty, that must be allowed for, evaluated and selected.
‘Hard complexity’ is defined by the course as generating difficult computational problems as illustrated by the game of chess, the enormous range of possible move and counter-move sequences to be considered and assessed by each of two players. This next portion of the course's definition needs to be quoted.
It is, unquestionably, complicated. Nevertheless, the nature of the game, the moves of the pieces, the fundamental purposes of the players – all these are unproblematic.
NCP has differentiated between complexity and complicated in a number of different venues. One aspect has been to see the connections of complexity as intrinsic and of complicated as intricate. The word ‘unproblematic’ in this context seems somewhat similar to the term ‘trivial’ in more formal mathematics or at least as Richard Feynman saw it. Chess, arguably, could be seen as a hard or complicated algorithm, whether unproblematic or not, from a single-sided, checkmate in 12 moves perspective but with the counteracting feedback of another player seems to me to make it unpredictably complex.
‘Soft complexity’ doesn't arise from the ‘facts’ It arises from the variety of very different (mental) constructions, and how they can be related to alternative explanations for behavior or events. Soft complexity can also feature a high degree of emotional involvement.
The course goes on to quote John Casti (1994), a mathematical modeler and writer on complex systems who links complexity to a more vernacular understanding:
… when we speak of something being complex, what we are doing is making use of everyday language to express a feeling or impression that we dignify with the label complex.
The course sets hard and soft complexity on a graph putting the computational difficulty on the x-axis and the emotional involvement on the y axis. Messes then are situations involving high degrees of both.
Complexity, particularly soft complexity, the course asserts, as far as I can interpret it, then arises from the different perspectives and how they can be interpreted, and equally, perhaps more importantly, the degree of emotional involvement people have in the situation, especially if one has a technical or engineering background making it difficult to come to terms with it.
The current course then does not attempt to address complexity at the level of complexity science as the scientific study of complex systems. It only endeavors to note distinctions between complex situations and complex systems. More about the implications, including the more philosophical, will be covered in a future post. This post will consider more personal connections with past interactions with systems practice approaches.
Despite a hypothesis that systems thinking could serve as scaffolding for deliberative and participatory systems of democracy most past system thinking projects have been solitary explorations or solitary experiments done in parallel but not actually connected with other independent efforts.
The current course raises a number of issues relevant to the interactions with a previous Systems Practice-oriented course, as team leader, of a group of ten which attempted at least by virtual modeling to address homelessness in Portland, Oregon. This was a follow-on to a previous financial modeling course as part of someone else's still ongoing, real world, on the ground effort to address homelessness in Portland, Oregon. It was among the first experiences with a group approach to systems thinking.
My personal reason for the choice was to continue that effort believing that we need to collaborate on larger scales to develop systematic means of addressing systemic wicked problems of which homelessness is one. The systems practice group approach both significantly informed the manner in which I contributed over time inducing me to substantially change my approach in ways during that course that I would not have if I had worked solely on my own.
Systems practice may though be a weaker approach in my view for those with less exposure to systems thinking because it can overly emphasize coming to a consensus. One of the primary issues of systems thinking is the tendency of people to only look at causal factors in immediate or near-immediate approximation whether by time, distance or causal relationship.
I believe that there should have been a stronger foundation in systems thinking provided at the beginning of the course and introducing Kumu at the very start could have helped with that. The challenge was crossing over to a more holistic, systems thinking perspective through a systems practice group process.
Questions of ‘interpersonal relationships’ (i.e. personal evaluations, likes and dislikes) as a contributing factor in the situation didn't really come up as the course was online. It should be noted though that NCP sees face to face interaction as an essential factor in community governance.
The other people on the team saw the situation differently from each other, they also saw many of the Systems Practice terms differently but then sometimes those terms weren't clearly expressed. It is unclear how we saw each other but interactions were done in a positive manner.
The inclusion of ‘political concerns’ were a contributing factor in the way that we all saw the situation but were related more to means than ends. All of the political concerns attributed to the people involved were considered ‘legitimate' by the group. There was likely a pro-liberal selection bias due to the course being sponsored by Acumen. There were no homeless, or homeless advocates involved or even anybody from Portland and the direct involvement of the original social entrepreneur was lost because of conflicting schedules, though she did remain available in an advisory capacity.
The most important consideration that was not adequately represented in terms of hard information and demonstrable facts, in what is now being defined as a messy situation, was the local residential reaction to the proposed system of homeless intervention, the role of residents in deciding the fate of the proposed homeless camp food truck programs. This arose from multiple causes, and was behind some of the disagreements over focus and priorities. My usual systems approach resulted going both further back by causal degrees than my teammates and with what they felt comfortable.
The discussion of what is now being termed soft complexity helped in distinguishing difficulties from messes though we didn’t name them that. We went beyond thinking about difficulties and messes only terms of hard complexity. Others contributed to the notion of trust in our system maps to a much greater extent than I did.
But the more soft complexity there is in a situation, the messier it is likely to be. Working out what to do with a mess is no longer a matter of thinking the situation through, but of rethinking or reframing it as well.
Saturday, January 7, 2017
Mapping Connections Between Healthy Communities, Planning, Placemaking and Asset Based Community Development
- Healthy Community Design Checklist.pdf
- Healthy Community Design PowerPoint Presentation.ppt
- Creating a Health Profile of Your Neighborhood.pdf
- Planning for Health Resources Guide.pdf