Remove 2019 Remove Complexity Remove Innovation Remove Patterns

Cynefin St David’s Day 2019 (3 of 5)

Dave Snowden

Key to Cynefin is the idea that three ontological states or order, complexity and chaos are subject to phase shift boundaries. The domain shifts between the ordered and complex domains and between those of complexity and chaos are generally matters of choice and with choice come consequences. His first version showed chaotic as a lower level than complex but be changed that after I pinged him. Between complex and complicated (one way).

How to Survive and Thrive in a World of Disruption

Irving Wladawsky-Berger

Evolutionary fitness of organizations is determined by their ability to effectively respond to environmental changes,” write Leo Tilman and Charles Jacoby in their recently published book Agility : How to Navigate the Unknown and Seize Opportunity in a World of Disruption. “Extinctions generally follow a familiar pattern. How can you turn survival into the driving force of innovation?

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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. 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. Why are there such universal human activity patterns?

How We Learned to Prosper Using Fewer Resources

Irving Wladawsky-Berger

In recent years we’ve seen a different pattern emerge: the pattern of more from less.”. What led to the emergence of a more-from-less pattern? Similar patterns are seen in other rich countries.”. Complex Systems Digital Money and Payments Economic Issues Education and Talent Future of Work Innovation Management and Leadership Political Issues Services Innovation Smart Systems Society and Culture Technology and Strategy

we are dependent on human connection

Harold Jarche

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. Sharing complex knowledge requires trusted professional relationships. strong interpersonal relationships that allowed discussion, questions, and feedback were an essential aspect of the transfer of complex knowledge” — Hinds & Pfeffer (2003). What we do not know.

learning in complexity and chaos

Harold Jarche

But more of our challenges are complex and cannot be solved in a standard way — inequality, refugees, populism, racism. Whenever people are involved, within a global context of climate change, the situation is likely complex. In complex situations there is less reliance on detailed plans and analysis and a greater emphasis on continuous experimentation coupled with good observation and tracking. We have to learn constantly in complexity. Complexity & Chaos.

#AI4Good: What Your Nonprofit Needs To Know About AI

Beth Kanter

Demystifying Machine Learning for Global Development, an article published in the Stanford Social Innovation Review, suggests that when it comes to global development, the key is to ask the right questions, and then see if and how it can help. Now instead of only relying on subjective responses, scientists can focus on patterns within the visual cortex using AI to better understand a subject’s feelings.

The Social Network Is the Computer

Irving Wladawsky-Berger

Our increasingly complex social interactions have been the critical factor in the exponential increase of human cranial capacity over the past few million years. “But today something is different.

range & inefficiency

Harold Jarche

An innovation system should preserve range and inefficiency, concludes the book Range—Why generalists triumph in a specialized world , by David Epstein. Focusing deep yields efficiencies and incremental innovation. But a broad base of learning and experience can produce radical innovation. ” When faced with new and complex challenges, we cannot rely on learning from experience, as we have none. Books Complexity Learning

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Are We Becoming a Decadent, Stagnating Society?

Irving Wladawsky-Berger

This long essay covers a lot of ground, from technology and innovation to politics and religion. Has innovation been slowing down? Digital innovation is recombinant in nature, based on building blocks and platforms.

Why Some AI Efforts Succeed While Many Fail

Irving Wladawsky-Berger

Winning with AI , - a 2019 report based on a survey jointly conducted by the MIT Sloan Management Review and the Boston Consulting Group , - found that 90% of respondents agree that AI represents a business opportunity for their company. To help answer these questions, the study looked for patterns in the survey data and in the executive interviews to uncover what the companies that are succeeding with AI are doing.

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six ways to make sense

Harold Jarche

One of the big consultancies is promoting ‘six ways’ to make sense of these complex times, or words to that effect. connecting the curious —2019. Complex environments represent a continuous challenge for sensemaking in organizations. diversity trumps ability — 2019.

Cynefin St David’s Day (5 of 5)

Dave Snowden

Shift to the complex by identifying a series of coherent hypotheses around what will work and will not. If the risk of inattentional blindness is high you shift into the chaotic-complex liminal zone and rapidly use MassSense techniques to identify different perspectives and critically minority perspectives that you might otherwise be ignoring. However, in the Complex and Aporetic, we are only there because the programs no longer work.

Educational Research in Learning Technology

Stephen Downes: Half an Hour

philosophical behaviourism - this form of behaviourism allows that there are internal states but notes that they can only be described in terms of external behavior; phenomena such as intentions, desires and beliefs are described as dispositions the causes of which are complex and not reducible to these mental phenomena. But education (like most of the social sciences) is a complex discipline. 2019) which caught my eye. This is a common pattern for systematic reviews.

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,,