Anthro-complexity perspective

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There are seven basic steps to map where we are, three pervasive practices, and three things to which we need to pay attention:

🌟 Constraint mapping is a key technique using the typology of constraints that has been developed over the last few years. Constraints can contain or connect, they can be resilient or robust among other characteristics but overall they allow us to understand the nature of where we are.

🌟 Once the constraints are determined we can map the counter-factual space (constructor theory here), which is to say we start by defining what is not possible, rather than what we would desire. Cultural mapping is a key tool here and its use is linked with the assemblage point below.

🌟 Once complete we look at the temporal aspects of our counter-factual statements – what constraints could be changed at what risk? What changes in those constraints can we make anyway? Which if changed, would open up more desirable future pathways. This creates a where we are, and a set of stages of where we could go in the future and we set those up for review at key future check points.

🌟 The aporetic turn in the EU field guide gives us different pathways to explore different Cynefin Domains. Where the nature of the expertise is obvious then we deploy expertise and analysis. Where there are conflicting experts we use a short-cycle Triopticon to resolve those conflicts, where we have inadequate hypotheses we deploy human sensor networks, and if it is complex then we move to stage 5.

🌟 We then seek to create constructors (and map what exists). Constructors resolve uncertainty as they produce replicable outcomes. ✨ So a machine once running produces identical products. In human systems rituals and tropes do something similar. Understanding what we have got, and then creating safe-to-fail probes to see which are possible, sustainable, and advantageous allows us to understand the pathways available to us.

🌟 This activity allows us to see how the ecosystem is evolving and allows us to reinforce desirable results, distrust those which are not desirable. Vector Theory of Change comes in here with its more like these, fewer like those approaches to engagement.

🌟 We use our human sensor networks to provide real-time feedback loops and also to capture learning and ideas in real-time into a narrative database. That becomes a repository of learning and allows us to continue to evolve the system.