SocialLearning

Social learning

“warts and all”

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Helen Blunden is the inaugural winner of the ITA Jay Cross Award (2016). Jay had a significant influence on my life and it was sad to say farewell in 2015. Helen’s latest blog post in many ways reflects some of the challenges that Jay faced. He was outside the mainstream. Jay was constantly shifting his business model. He was always looking for ways to be innovative but not a slave to the status quo. Helen has also been transparent and open with the challenges she has faced, doubly so as a woman in business.

“Some time ago, I asked the question Should I Get Off YouTube?

The reason is that after getting off social media, I’m reflecting on every single aspect of my working life and my output that I have shared online since 2011.

With over 500 videos of working and sharing my lessons, experiments, projects, questions out loud to the world, I realised that I had an immense body of work that I put out to the world. Some of which helped me in my working life but in many aspects, putting myself ‘out there’ meant that I was also at a greater risk of failing publicly because showing the ‘warts and all’ is bad for business. To be successful in business is to create illusions.

And so fail I did. I never was a good illusionist.

Instead I wanted to build a model that wasn’t following what others were doing. In some way, I wanted to lead something new and different – something inspirational.

In particular, I baulked at the idea of having to build myself into a ‘thought leader or entrepreneur’ and then base a consulting business where I had to rely on being at the whim of platform algorithms; to build a business around my expertise, which then I could extract huge amounts of money from subscribers or corporate customers.

That business model never sat well with me as I espoused continual and lifelong learning NOT as a ‘thought leader’ of lifelong learning.

There was always a contradiction that never sat well with me because I was always learning.” —Helen Blunden 2022-10-22

As Hugh McLeod so articulately captured, there are challenges to being either a sheep or a wolf. Helen is a wolf.

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the power of story

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Stories are powerful ways of sharing knowledge

In 2006 while the Princess Patricia’s Canadian Light Infantry was fighting in Afghanistan, Professor Anne Irwin observed how soldiers decompressed and learned through storytelling.

When they are out in the field and return from a patrol, the exhausted soldiers relax together in small, tightly-knit groups – Irwin calls them “nesting circles” – and recount the events of the day or the mission.

Each soldier contributes a story, an anecdote or even a joke, adding stock and spice into what becomes a collective stew of experiences, she said. They also playfully insult each other.

The storytelling not only helps forge the individual identity of each soldier, it builds interpersonal relationships that can have a bearing on how well the unit performs on the battlefield.

“Joking is a big part of it, and teasing,” she said. “It is not abuse. If you have been teased harshly it lets you know that you are part of the group.”

—John Cotter, Canadian Press, July 03, 2006

Even though these soldiers had all been formally trained and had worked and fought together, there was still a need to make sense of their continuing experiences. Informal and social learning can be the glue that helps keep them together during tough times.

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learning on the edge of chaos

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“the future of work will be based on hacking uncertainty” —Esko Kilpi

Esko Kilpi passed away in early 2020 and his work had informed my own for many years. He published a number of essays on Medium and I would like to curate some of the highlights from 2019.

“Instead of thinking about the organization let’s think about organizing as an ongoing thing. Then the managerial task, but not necessarily a manager’s task, is to make possible very easy and very fast responsive interaction and formation of interdependent individuals into value creating groups.” —2019-01-15

“We live in a time when we have compartmentalized ourselves into disciplines, using highly engineered processes in the name of efficiency and productivity. But if success is a result of learning and innovation, we need to think differently, we need to cross boundaries to create new insights.
Crossing boundaries is always about working with differences. This is why differences are potentially conflictual in nature, and this is something we should now welcome. Conflicts give rise to the possibility of innovation and the potential for finding totally new solutions.” —2019-01-21

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knowledge flows at the speed of trust

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Transparency

Businesses that are open, transparent, and cooperative are more resilient because they rely on people, not processes. In a transparent organization there is no way to game the system as an individual. A transparent business focuses on long-term value, not short-term profit. It can also foster innovation, as diverse ideas come to the fore when people openly share their ideas. Workers become a social network, cooperating in order to make the organization better.

Knowledge networks are similar. They function well when they are 1) based on openness, which 2) enables transparency, and 3) in turn fosters diversity — all of which reinforce the basic principle of openness. In such a transparent workplace, the role of management is to give workers a job worth doing, the tools to do it, recognition of a job well done, and then let them manage themselves.

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the power of social learning

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On 26 January I will be presenting on — The Power of Social Learning: Building Knowledge, Community, and Trust — hosted by Valamis LXP. Several questions have already been submitted by some of the over 150 participants registered so far and I will not have time to address most of these. Instead, I will try to answer these here — by topic — though they mostly do not directly reflect the content of the presentation. Some of these questions would require much more contextual understanding to give an adequate response and others could make for a month-long consulting assignment.

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creativity needs just enough social connections

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During this pandemic and various lockdowns  there have been many discussions about the need for physical contact and how it supports creativity.

The writer and scientist, Isaac Asimov, reflected on — How do people get new ideas? — after a short stint at an MIT spinoff company in 1959. New ideas are not often received well by those in positions or power or influence Asimov noted.

It is only afterward that a new idea seems reasonable. To begin with, it usually seems unreasonable. It seems the height of unreason to suppose the earth was round instead of flat, or that it moved instead of the sun, or that objects required a force to stop them when in motion, instead of a force to keep them moving, and so on.

A person willing to fly in the face of reason, authority, and common sense must be a person of considerable self-assurance. Since he occurs only rarely, he must seem eccentric (in at least that respect) to the rest of us. A person eccentric in one respect is often eccentric in others.

Consequently, the person who is most likely to get new ideas is a person of good background in the field of interest and one who is unconventional in his habits. (To be a crackpot is not, however, enough in itself.)

Once you have the people you want, the next question is: Do you want to bring them together so that they may discuss the problem mutually, or should you inform each of the problem and allow them to work in isolation?

My feeling is that as far as creativity is concerned, isolation is required. The creative person is, in any case, continually working at it. His mind is shuffling his information at all times, even when he is not conscious of it. (The famous example of Kekule working out the structure of benzene in his sleep is well-known.)

The presence of others can only inhibit this process, since creation is embarrassing. For every new good idea you have, there are a hundred, ten thousand foolish ones, which you naturally do not care to display.

Asimov felt that isolation is required for creativity.

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algorithmic amplification

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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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the social sweet spot

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Continued from — social learning powers distributed work.

Social learning is about people in trusted relationships sharing and building collective knowledge. It is part of our common evolutionarily developed ‘social suite’.

In Blueprint: The Evolutionary Origins of A Good Society, Nicholas Christakis argues that this coevolution has equipped us with a “social suite” of traits that arose through genetic evolution and that have been amplified by cultural evolution, which has in turn influenced our genetic evolution toward propensities that support the social suite. These include the “capacity to have and recognize individual identity,” “love for partners and offspring,” friendship, social networks, cooperation, “preference for one’s own group (‘in-group bias’),” “mild hierarchy (that is, relative egalitarianism),” and “social learning and teaching.” —Howard Rheingold

These seven traits identified by Christakis can be arranged in how valuable they are to overall society.  Self-identity has high individual value while social learning is how we developed our second evolutionary strand — shared culture and knowledge.

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social learning powers distributed work

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Distributed work is here to stay, because many people like it, the pandemic is not over and there will be others, and market forces will seek to maximize profits and reduce labour costs. But Zoom calls all day are not going to create work environments where knowledge workers can deal with complex problems or create innovative solutions. The key to distributed work is social learning.

Distributed work is driving a work-from-anywhere culture and is increasingly reliant on asynchronous communication, as people move to multiple time zones. In order to share the necessary implicit knowledge needed for complex work, trust has to be developed. People only share with others they trust. This trust takes time to develop between people. How can they do this when they are not in the same office?

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people, not algorithms

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Can an algorithm defeat an algorithm? One group of European researchers think it can be done. I have my doubts

“The approach involves assigning numerical values to both social media content and users. The values represent a position on an ideological spectrum, for example far left or far right. These numbers are used to calculate a diversity exposure score for each user. Essentially, the algorithm is identifying social media users who would share content that would lead to the maximum spread of a broad variety of news and information perspectives.

Then, diverse content is presented to a select group of people with a given diversity score who are most likely to help the content propagate across the social media network—thus maximizing the diversity scores of all users.” —IEEE 2021-01-21

I believe that any system that can be gamed, will be gamed. Adding another algorithmic layer on platforms designed to manipulate human behaviour will likely result in a continuing game of whack-a-mole, like search engine optimization (SEO). Humans are not machines, and machines (including software) are not humans.

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