navigating complexity

The Cynefin framework can help us connect work and learning, especially for emergent and novel practices, for which we do not have good or best practices known in advance. When we want to create a conducive learning environment for knowledge workers, the Cynefin framework helps us see the inherent weakness of instructional systems design (ISD) — designed for formal learning — which works from the premise of predetermined learning objectives and activities, usually based on good and best practices observed in the workplace.

I discussed learning in the complex domain last year and used the following visual to describe some ways that teams, communities, and networks can organize to improve knowledge sharing and sense-making.

The image below takes the basic PKM model — with teams in blue, communities in red, and networks in green — along two axes: high & low structure, and low & high abstraction. These are split in half — one for the Complex domain, and the other for the ordered domains (Complicated & Clear). The Chaotic domain has unique conditions and requires a different approach, beyond this post.

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intentionality

We recently finished a PKM workshop and in one of our discussions we talked about intentionality — “The fact of being deliberate or purposive, or the quality of mental states (e.g. thoughts, beliefs, desires, hopes) which consists in their being directed towards some object or state of affairs.” This is the core of personal knowledge mastery. It is a discipline built on many small practices, such as:

  • narrating our work
  • adding value before sharing information
  • helping make our networks smarter and more resilient
  • network weaving and closing triangles
  • seeking diverse perspectives
  • sharing half-baked ideas

Together, these practices can develop into an intentional sense-making discipline.

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DYOR

For over two years we have increasingly seen this term in social and mainstream media — Do Your Own Research (DYOR).

“The words imply a fundamental distrust in authority, and thus a shift to complete self-reliance. In the case of crypto, where there may be rewards but there are definitely massive risks, you should want to rely on your own judgment rather than someone else’s, who might be paid for their endorsement or simply be a fool.” —Ross Dawson 2021-05-31

Ross warns us that that not trusting experts could lead to massive trust issues in society and, “How this plays out will be a fundamental factor in shaping our future society”. I agree.

For the most part, the lack of trust has been brought on by the institutions and those within their hierarchies. Let’s just look at this pandemic and the medical guidance put forth by experts. This has been my sensemaking experience and my journey of doing my own research.

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management must move first

This morning I gave a presentation at the IOM Summit on digital work. My topic was — Digital Work is all about human connections. The key messages are ones that have been presented here.

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ninety percent of everything is crap

A friend recently shared an article and the title immediately caught my eye — Personal knowledge management is bullshit [dead link]. Of course I had to read it. The first line immediately stood out, “Personal Knowledge Management (“PKM”) is a trendy new term for techniques and applications designed to manage information.” I was first introduced to PKM in 2004 by Lilia Efimova and later by Denham Gray and Dave Pollard, all of whom had been writing about it for several years at that point. So I am not sure what the definition of “trendy new term” is in this case.

I shifted to the term personal knowledge mastery in 2014 in order to clarify that PKM for me is removed from traditional Knowledge Management (KM) and that it is a discipline to be mastered through practice. My PKM is not connected to any given technology though I have used several over the years.

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sensemaking’s secret weapon

“Communities of practice are groups of people who share a passion for something that they know how to do and who interact regularly to learn how to do it better.” —Etienne Wenger

“Communities of practice emerge in the social space between project teams and knowledge networks.” —Verna Allee

It is not the size of our networks and communities that matters but how we engage people with diverse opinions and experiences. Networks help us see opportunities and new ideas. Communities give us a place to discuss and learn about these. We need to engage in both.

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masterclasses

Several times over the past few years I have been asked to conduct online masterclasses to help organizations with their internal change initiatives, such as — digital transformation, distributed work, & online community building. These sessions are 1/2 day (±4 hours) and have from 20 to 60 participants. Each one is focused on the needs of the client which we discuss in advance. Here are the various components that we have used.

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algorithmic amplification

What is the impact of constant misinformation on consumer social media? Dave Troy discusses the effects in a long Twitter thread:

“Disinformation is the operational end of a process designed to break down society and radicalize it into cultish forms. This process leads people away from truth. We can’t address this process by distributing truth; the cure for disinformation is not simply truth … Truth is, rather, a goal we must arrive at … We need to turn our attention to what is being lost: social ties, social trust, social capital … We don’t look enough at the relationship between identity, in-group, and belief. They are all reflections of the same thing and you can’t alter one without altering the others. This is why injecting garbage breaks down social ties and alters belief and identity. Sufficiently radicalized, people won’t recover their prior social connections, leaving them stranded on ‘islands of dissensus’. There is no natural pathway back from this. It’s a one way process. Throwing truth at them doesn’t restore lost social/family ties; it alienates them.” —Dave Troy

Twitter recently revealed — Examining algorithmic amplification of political content on Twitter — that its algorithm that decides what you see in your stream can have a social and political impact.

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learning in the complex domain

Personal knowledge mastery (PKM) can be a lens to examine how knowledge flows in organizations and human systems, especially from a perspective beyond formal training and education.

“A model of curation for the digital era that is being used in health and care is Harold Jarche’s ‘Personal Knowledge Mastery’ (PKM). This is about individuals making the best use of their networks and other sources of knowledge so that they can keep up to date with the most effective thinking in their area and practice new ways of doing things. Leaders who take responsibility for their own effectiveness through PKM create leverage and value for their organisations. The underpinning framework for curation within PKM is ‘seek, sense, share’. ‘Seeking’ is about finding things out and keeping up to date; pulling’ information, but also having it ‘pushed’ to us by trusted sources. ‘Sensing’ is about making sense and meaning of information, reflecting and putting into practice what we have learned and plugging information into our own mental models and turning it into knowledge. ‘Sharing’ is about connecting and collaborating; sharing complex knowledge with our own work teams, testing new ideas with our own networks and increasing connections through social networks.” —UK National Health Service White Paper: The new era of thinking and practice in change and transformation

In addition, PKM is much more than a model of curation.

“Seek > Sense > Share are three elements at the core of Harold Jarche’s Personal Knowledge Mastery (PKM) Framework. With PKM, he shaped one of the most persuasive approaches to personal and professional development, combining natural ways of learning with an approach to sensemaking and contributing to a larger collective.” —GIZ.DE

Personal knowledge mastery is a framework that connects working and learning. Much of what professionals and most adults learn is from experience and interactions with other people, at work or outside of it. We learn from experiences and exposure to people and ideas.

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the codification of knowledge

Nick Milton raises an interesting point about the terms implicit, explicit, and tacit knowledge. Do you know what each term means? It seems that many in the knowledge management discipline do not.

Which of these three most closely matches your understanding of the term “Explicit Knowledge”

A. Knowledge which has been explained in some way (spoken or recorded)

B. Knowledge which has been recorded (eg in documents, files etc)

C. Knowledge which can be explained, but may or may not have been either spoken or recorded.

About 40 people answered the poll, and the results were as follows.

A- 23%

B – 53%

C – 23%

So the participants were evenly split between those who thought that explicit knowledge was synonymous with recorded knowledge, and those who thought that it wasn’t. And among those who thought it wasn’t, there was an even split between exactly where the line lies between tacit and explicit.

Imagine this was another discipline. Imagine if doctors could not agree whether coma and death were the same thing, and those who thought they were different, could not agree on the line between death and coma lies. It would be dangerous chaos. —The problem with “tacit/explicit”

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