Cynefin St David’s Day 2019 (4 of 5)

Dave Snowden

The most stable pattern (blue) is the move between complex and complicated, and if needed back again. You’ve allowed the culture to develop immunity to the constraints so that they appear to work but in practice they only do so because the informal networks and practices have developed work arounds. The post Cynefin St David’s Day 2019 (4 of 5) appeared first on Cognitive Edge.

Cynefin St David’s Day 2019 (5 of 5)

Dave Snowden

It is a domain where naïveté may an advantage as it breaks patterns and see things differently. Distributing situational assessment (human sensor networks, MassSense, anaymous reporting, crews are all ways to do this) make you more resilient and shift away, up through disorder into complex. But it is as yet unimagined so here micro-scenarios planning, trio based investigate, social network stimulation and lots of other methods we’ve developed over the years come into play.

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Liminal Cynefin & ‘control’

Dave Snowden

The real value comes in working out what you impose and its shouldn’t be a final solution; the essence of good crisis manage is to create enough constraints that you shift the problem into the liminal area of complexity which means some patterns are starting to emerge. Rapid improvisation using and reusing what you already have (exaptation and bricolage) are key and the ability to rapidly mobilise cognitively diverse networks to support decision making vital.

we are dependent on human connection

Harold Jarche

Our networks are great places for serendipitous connections. The difference between an open social network (e.g. To make sense of our complex world and its often-veiled media sources, we need both open social networks and more closed communities of practice/interest. Only collectively can we confront the post-truth machines of the network era. The more diverse our social networks, the more diverse our thinking can be. What we do not know.

Beyond Machine Learning: Capturing Cause-and-Effect Relationships

Irving Wladawsky-Berger

Deep learning is a powerful statistical technique for classifying patterns using large training data sets and multi-layer AI neural networks. Each successive layer in a multi-layer network uses the output from the previous layer as input. Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships.

The Social Network Is the Computer

Irving Wladawsky-Berger

The Social Network Is the Computer. For years, The Network Is the Computer was used as a marketing tagline by Sun Microsystems , - now part of Oracle,- to emphasize that in the Internet age, networked systems and applications were far more powerful than any single computer.

metamodernity

Harold Jarche

Post-modern (shift from Markets to Networks). Metamodernity is about “networks of meaning” and “… allows that phenomena can have both absolute and relative meaning and significance.” Philosophic — the discovery of principles which underlie patterns and limits found in data; ordering knowledge into coherent general schemes. To an older culture, a newer one often looks amoral, as morality guides older cultures.

solving problems together

Harold Jarche

Exception-handling is becoming more important in the networked workplace. Social tools, like enterprise social networks, enable us to be transparent in our work. We can see the the narration of work in small bits that over time become a flow and later patterns emerge. Humans are very good at pattern recognition. This is where the main value of the networked business is created.

from tweets to the blog

Harold Jarche

During the inter-war period, many European democracies fell into a similar pattern of events. Get them to commit to be together,” says Rhonda Fitzgerald, managing director of the Sustained Dialogue Campus Network, “and tell them their job is to listen to each other. Every fortnight I curate some of the observations and insights that were shared on social media. I call these Friday’s Finds.

What is Digital Literacy?

Stephen Downes: Half an Hour

By 'the digital context' we mean the multimedia and inter-networked context enabled by digital technology. These include pattern recognition, semantics, context-awareness, use or application, explanation and inference, and change. The basis for the definition of critical literacies (and therefore, digital literacy) I outlined above comes from my understanding that I am essentially an embodied neural network that experiences and interacts with the world.

Notes On "Global Guidelines: Ethics in Learning Analytics"

Stephen Downes: Half an Hour

predictive models (which suggest potential completion rates, for example) social network analyses (which examine possible relationships between networks of individuals and groups) relationship mining (which analyses links between sets of data patterns such as student success rates), dashboards(data visualisation which provides a mean of delivering feedback to educators and learners).

Shaping (As Opposed to Stumbling Into It!) – The Future of Online Learning and Training

Stephen Downes: Half an Hour

Shaping (As Opposed to Stumbling Into It!) – The Future of Online Learning and Training Stephen Murgatroyd, PhD, Chief Innovation Officer Contact North | Contact Nord These are summary notes of the talk, taken by me, “I’m here because I’m old….

Wittgenstein and Connectivism

Stephen Downes: Half an Hour

On an individual level, it's the story of what happens when you stimulate a network consisting of human neurons (and, qua embodiment theory, other human body parts). That is why while I talk about patterns of connectivity and neural plasticity, I also take pains to depict connectivism as a non-representationalist theory, more similar to the 'direct perception' of JJ Gibson. NB This is only a very preliminary sketch of what should really be a longer treatment.

Artificial Intelligence for Good: A Few Good Articles To Read #AI4Good

Beth Kanter

Allison Fine, my co-author for the Networked Nonprofit , and I are actively researching the use of AI for Good, in particular to scale giving and spread generosity. It was almost ten years ago that we published the Networked Nonprofit during the early days of social media and networks. Now, we entering a new digital era which includes emerging technologies like AI. Artificial Intelligence presents a lot of benefits for the social good sector.

#AI4Good: What Your Nonprofit Needs To Know About AI

Beth Kanter

Allison Fine, my co-author for the Networked Nonprofit , and I are actively researching the use of AI for Good, in particular to scale giving and to spread generosity. EmoNet , neural network model developed by researchers at the University of Colorado and Duke University, was accurately able to classify images into 11 different emotion categories. It is the next phase of digital transformation – from networks to artificial intelligence.

learning in complexity and chaos

Harold Jarche

Cooperation is a fundamental behaviour for effectively working in networks, and it’s in networks where most of us will be working in the digital age. People in knowledge networks cannot be told what to do, only influenced through other people due to their reputation. In a distributed network you have to be seen as having some value, though not the same value, by many others. Social networks and communities of practice usually cooperate.

Your Art, My Art

Stephen Downes: Half an Hour

Today of course we are in the grip of surveillance capitalism, and there is not much about you that your computer and the networks its connected to doesn't know. But with the computer - and especially, with the networked computer - we move beyond that, to the idea that art is something that a community does. But more, the design of the cathedral also represents an attempt to find that fine point of balance where the creations of humanity mirror the patterns of nature.

List 137

range & inefficiency

Harold Jarche

But the world, and most fields of human endeavour are complex, or ‘wicked’ “ In wicked domains, the rules of the game are often unclear or incomplete, there may or may not be repetitive patterns and they may not be obvious, and feedback is often delayed, inaccurate, or both.” Broad experience and interests, coupled with a diverse professional network, can be a competitive advantage in any field.

Skills 219

change takes time and effort

Harold Jarche

They see patterns before others do. In a networked economy, work is learning and learning is the work. The idea that generalists and soft skills are needed in the modern workplace seems to be hitting the mainstream of HR, L&D, etc. I have written about these for the past decade or more, and I think it’s necessary to clarify some of the discussion. Wicked problems need neo-generalists. Neo-generalists defy common understanding. They cross boundaries, and some break them.

Change 188

Cynefin St David’s Day (5 of 5)

Dave Snowden

Speaking of regret, the best part of a decade ago I started to argue and present the idea of creating a human sensor network using schools, community centres, and sports clubs. But you need to build cognitively diverse networks before the situation if at all possible as that will allow a fast response. If you create one in a crisis keep it live, but best is networks for ordinary purposes that can be activated in times of extraordinary need.

Educational Research in Learning Technology

Stephen Downes: Half an Hour

Unfortunately, ‘the vast array of literature involving learning technology evaluation makes it challenging to acquire an accurate sense of the different aspects of learning that are evaluated, and the possible approaches that can be used to evaluate them’ (Lai & Bower, 2019). After a period of time, a tool (like a word processor or LMS) is no longer novel to the teacher or the school, and so they settle into a 'more normal' pattern of usage for that tool.

Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

2019) Ethical Codes As Standards of Conduct While ethics commonly applies to people in general, there is a specific class of ethics that applies to people by virtue of their membership in a professional group. Modern analytics is based mostly in machine learning and neural networks, and these in turn provide algorithms for pattern recognition, regression, and clustering. 2019) Similar functionality is also provided by IMS Global’s Caliper learning analytics (Oakleaf, et.al.,

Workplace Learning Professionals Next Job - Management Consultant

Tony Karrer

Sensing patterns and helping to develop emergent work and learning practices. In 2019: A workplace learning odyssey Performance support will be built into the workflow and take the form of online tools, networks and coaching. The Big Question this month is Workplace Learning in 10 Years : If you peer inside an organization in 10 years time and you look at how workplace learning is being supported by that organization, what will you see?

Long Live?

Tony Karrer

Although it sounds exciting at first, and certainly appeals to the emotions, several practical issues—all of which are ignored by the contributors to the ASTD 2019 discussion—limit the likelihood that organizations would primarily rely on informal learning. I would also claim that this is exactly why Network Learning is so important. Network Learning? It helps share effective patterns. Or maybe it's more time networking.