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Now that returns me to an earlier theme about the importance of children’s literature to settling the patterns or dispositions of ethical behaviour. I first came across the idea of the numinous when I picked up a second hand copy of Rudolf Otto’s book The Idea of the Holy which I picked up on one the Ampleforth retreats I mentioned in a previous post. MORE
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. Most situations at work can be considered from the perspective of — is this a known problem or not? If it’s known, then the answer can be looked up or the best person can be found to deal with it. The answer may even have been automated or outsourced. Known problems require access to the right information to solve them. MORE
The most stable pattern (blue) is the move between complex and complicated, and if needed back again. The post Cynefin St David’s Day 2019 (4 of 5) appeared first on Cognitive Edge. The introduction of liminality to Cynefin necessitated a slight rethinking of the main dynamics within Cynefin. To be clear multiple dynamics are possible but over the years these have emerged as the dominant ones. MORE
Ironically to propose that is a form of neo-colonialism and, in the current political climate , well meaning narratives of political correctness (while in the opinion of the author of this blog are generally correct) are triggering an anti-story or stories in which the negative pattern or trope has already evolved to accommodate direct attack and moral criticism. MORE
We may discern some patterns from the past but our current challenges — as we shift to an electric-digital-networked age — are unique. MORE
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. To a newer culture, older cultures appear to be primitive, lacking complexity. But each culture has its pros and cons. MORE
The older, traditional ideas of private, isolated thoughts and actions — the patterns of mechanistic technologies — are very seriously threatened by new methods of instantaneous electric information retrieval” —Marshall McLuhan, 1967. Every fortnight I curate some of the observations and insights that were shared on social media. I call these Friday’s Finds. MORE
These include pattern recognition, semantics, context-awareness, use or application, explanation and inference, and change. So (for example) I can see patterns others don't see, express myself in interesting ways, be able to predict events, etc. Short response to a questionnaire. What is Digital Literacy Digital literacy is a type of literacy, specifically, the type of literacy that arises in the digital context. MORE
s’ network shows both patterns — a densely connected core along with loosely coupled radial branches reaching out from the core. Human systems thrive on variety and diversity and the Internet has created many more possible connection patterns. What we do not know. Our networks are great places for serendipitous connections. But they are not safe places to have deeper conversations or to expose our points of view, I noted last year in coffee, communities, and condescension. MORE
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). MORE
Using our brains for complex pattern matching and decision making is likely better than remembering arbitrary and rote steps. As one of the things I talk about, I was exploring the dimensions of difficulty for performance that guide the solutions we should offer. What determines when we should use performance support , automate approaches, we need formal training, or a blend, or…? It’s important to have criteria so that we can make a sensible determination. MORE
In the main areas of the complex domain we understand what is possible (or plausible) through parallel safe-to-fail experiments but as patterns emerge and stabilise we enter the liminal domain. The post Cynefin St David’s Day 2019 (3 of 5) appeared first on Cognitive Edge. MORE
A goal is to examine ways in which change can be stimulated; entrained patterns of needless difference reduced in their ability to dehumanise human interaction. The first time I saw the Aran Islands was back in the 70s from the Cliffs of Mohr. I was part of a weekend house party organised by Mary Condren (one of the faculty or our retreat) on the west coast of Ireland. MORE
Looking back upon my long career , it’s frankly sobering how many once powerful IT companies are no longer around or are shadows of their former selves, e,g, Digital , Wang , Sun Microsystems , BlackBerry. MORE
Summary of the presentation The 2019 National Survey of Online Learning in Canadian Post-secondary Education: Preliminary Results and Implications. where it's the large institutions that are growing - we're not seeing that pattern here). Moderated by Tony Bates. This is a follow-up from the first survey from 2017. Results are now available at [link] One of our main aims is to ensure our work adds value to responding institutions. MORE
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. I was asked: 1) Today I found a great idea in your work that I've been thinking about a lot recently. MORE
The location of the Cynefin Retreat about Narrative in Organisations (Ireland, 18-21 March 2019) is specially chosen for its unique landscape and naturally rugged beauty. A goal is to examine ways in which change can be stimulated; entrained patterns of needless difference reduced in their ability to dehumanise human interaction. MORE
By distributed I mean using multiple, cognitively, behaviourally and culturally diverse groups working independently of each other (wisdom of crowds) to reduce bias and pattern entrainment as well as to increase the possibility of outlier identification and novelty. . I’ve been thinking about the whole approach we are adopting to design thinking as the Whistler retreat approaches. MORE
I shared a few more examples of AI-driven fundraising here ) 3) Campaign Content: Examples of nonprofits using Quilt.AI , which takes every organization’s digital imprint and lets a nonprofit to better understand data patterns in large amount of data to predict changes in human behavior. 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. MORE
During the inter-war period, many European democracies fell into a similar pattern of events. Every fortnight I curate some of the observations and insights that were shared on social media. I call these Friday’s Finds. When Francis Harwood, anthropologist, asked a Sioux elder why people tell stories, he answered, “In order to become human beings.” ” She asked, “Aren’t we human beings already? He smiled, “Not everyone makes it.” MORE
Its more about staying alert and exploiting patterns of possibilities as they start to become visible. Exaptation is something I have blogged on before, most notably in this series of three posts back in 2012 (like 2019 a Grand Slam Year for Wales). It is not just about responding to patterns, its about creating the conditions in which radical re-purposing is easier to stimulate and easy to recognise. MORE
SEPTEMBER 15, 2019
Overall, the study found that while in aggregate the country is doing well, there are actually multiple Americas, each with widely different economic patterns and on sharply different trajectories, some of which are doing quite well and face an exciting future, while others are not in good shape and risk falling further behind. The US economy looks good by almost any measure. MORE
And while those engagement surveys mean well, they end up being distracting us with data on people’s likes and dislikes, rather than identifying the underlying patterns that are generating the dissatisfaction in the first place—patterns that lie deep inside your workplace culture. Those culture patterns are the missing link here, and until you can find and fix the culture patterns that are interfering with success, engagement will not improve. MORE
” —Toni Morrison (2019) T he Source of Self-Regard: Selected Essays, Speeches, and Meditations. They see patterns before others do, as Kenneth Mikkelsen notes in his own experience that neo-generalists, “ live on the edge of the future and detect signals early on by accessing a wide variety of people, ideas, and information.” “… it’s easy, and it’s seductive, to assume that data is really knowledge. Or that information is, indeed, wisdom. MORE
Continuing from Part 1 The story so far In Part 1 I covered the basics of Electron up to and including building executable applications from the Node.js application. In particular I looked at the fundamental role played by the package.json file in defining the application requirements, defining start and build scripts, and giving Electron a script to begin running, which we called bootstrap.js. In turn, bootstrap.js MORE
And the more customers they serve, the more helpful they can be to each customer, because they can start to see patterns, and become more proactive by suggesting things to a customer based on an observation that other people like them have derived significant value from some resource that the customer has not even asked about. In a book I wrote 20 years ago, I identified an opportunity that has yet to be addressed, but is becoming more and more attractive. MORE
There are three main types of machine learning: supervised learning, where you provide lables or tags with the data, and the computer learns to identify unlabled data unsupervised learning, where we don't have lables in the data we provide, where the machine tries to find patterns, clusters or similarities in the data, which it then uses to classify everything else reinforcement learning - eg. Summary of a talk by Alan Bostakian, Senior Analyst, TD Bank - Future Ready project Why? MORE
When we look at random things, we see patterns in them. Human brains are essentially pattern-recognition devices. So it's no surprise that we recognize patterns. Église Saint-Jean-Baptiste de Saint-Jean-de-Luz, photo by the author. Prompted by a sketch on CBC radio, I was curious this morning to see how Google would answer the question, "Does God exist?" To my mild surprise, the first page of results consisted of statements that God does, in fact, exist. MORE
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. MORE
The results were published in a March, 2019 HBR article, What Makes Some People More Productive Than Others. Overall, three key patterns stood out. The past 10-15 years have seen a number of technology advances, from smartphones to machine learning. Yet, despite these impressive advances, for most of this period economies around the world have been stuck in an era of slow productivity growth. MORE
However with life come habits of personal behaviour, was of working and thinking that become patterns we can’t escape. We are not in detox January and we know an absolute change of that period is sufficient to break a pattern of approaching alcoholism or at least dependency. It doesn’t mean you change per se, but you have a chance to examine those patterns. Context is dynamic but patterns easily form. MORE
Whereas I usually quit cold turkey, this time I lingered a bit, publishing a handful of blog posts in 2013, even one in 2014, and I'm sure that my Twitter activity followed much the same pattern; I've always said that the combination of the two is what upholds my 'Circle of Inspiration'. I pretty much left Twitter - and my blog - in 2013. MORE
Youth, resilient and diverse stable with multiple varying pathways and patterns of relationships and power sharing balanced. I’ve been meaning to write about the “forest cycle” or the supposed necessity of chaos for some time. Yesterday’s post on the different between the Cynefin framework and the Stacy Matrix reminded me of the need. MORE
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.”. “We have finally learned how to tread more lightly on our planet. It’s about time,” writes Andrew McAfee in the Introduction to his new book, More from Less : The Surprising Story of How We Learned to Prosper Using Fewer Resources - and What Happens Next. MORE
We are pattern-matchers and meaning-makers, naturally making up explanations for things that happen. I’ve been thinking on LXD for a while now, not least because I’ve an upcoming workshop at DevLearn in Lost Wages in October. And one of the things I’ve been thinking about are the tools we use for LXD. I’ve created diagrams (such as the Education Engagement Alignment ), and quips , but here I’m thinking something else. MORE
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? MORE
It is a domain where naïveté may an advantage as it breaks patterns and see things differently. The post Cynefin St David’s Day 2019 (5 of 5) appeared first on Cognitive Edge In my final post in this update series on Cynefin and I’m reserving the right to change things when I think about it more. I’ve been playing with options here on trains to and from particularly dark productions of tragic operas and the experience may have influenced by thinking. MORE
I am clearly making sweeping generalisations, and people in any group in society can face problems, but this is a pattern I have seen played out over and over. I have often told this story of being a student at St Andrew's and then working as a labourer in Glasgow during the holidays so forgive me if you have heard it before. At St Andrew's I encountered lots of old money people, people who had always had money, didn't think about money, and had loads of confidence. MORE
I have just started reading The Patterning Instinct by Jeremy Lent, described as "A cognitive history of man's search for meaning." " - Right up my street! Reading the opening chapters on how language developed, how communal thinking came to be a thing, and the anthropological approaches currently being combined with recent advances in neuroscience, made me realise yet again what a malleable thing the truth is. MORE
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…. MORE
Similarly, engineering equations about curves could be used for a roller coaster instead of a abstract pattern. In my book Engaging Learning , I had a suite of elements for both effective education practice and engaging experiences. Of course, the point was that they perfectly aligned. MORE
AI marketplace adoption will likely follow a typical S curve pattern , - that is, a relatively slow start in the early years, followed by a steep acceleration as the technology matures and firms learn how to best leverage AI for business value. AI is seemingly everywhere. MORE
Merriam-Webster defines it as “a gauge, pattern, or mold used as a guide to the form of a piece being made” In terms of software and business, templates are forms with some of the elements already completed. In terms of the various ways in which we can support the gaps in our cognition, one of the terms is ‘templates’ And it’s worth discussing what a template is, and considering them at a variety of levels. I want to suggest we should have templates for good. MORE
Up to eight or ten deliveries in a day, many of them in remote areas with windy country lanes, or in Central London with it’s gloriously random patterns of roads. Whenever I say that I am setting out on a career in truck driving people invariably say something like “you must be mad - that is all going to be automated soon”. Err…no…. Maybe the long haul stuff between Regional Distribution Centres, maybe in American cities with their more regimented grid systems, but everything else? MORE
Dave Snowden
APRIL 16, 2019
Its more about staying alert and exploiting patterns of possibilities as they start to become visible. Exaptation is something I have blogged on before, most notably in this series of three posts back in 2012 (like 2019 a Grand Slam Year for Wales). It is not just about responding to patterns, its about creating the conditions in which radical re-purposing is easier to stimulate and easy to recognise.
Dave Snowden
APRIL 18, 2019
The most stable pattern (blue) is the move between complex and complicated, and if needed back again. The post Cynefin St David’s Day 2019 (4 of 5) appeared first on Cognitive Edge. The introduction of liminality to Cynefin necessitated a slight rethinking of the main dynamics within Cynefin. To be clear multiple dynamics are possible but over the years these have emerged as the dominant ones.
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Dave Snowden
APRIL 16, 2019
In the main areas of the complex domain we understand what is possible (or plausible) through parallel safe-to-fail experiments but as patterns emerge and stabilise we enter the liminal domain. The post Cynefin St David’s Day 2019 (3 of 5) appeared first on Cognitive Edge.
Dave Snowden
APRIL 20, 2019
It is a domain where naïveté may an advantage as it breaks patterns and see things differently. The post Cynefin St David’s Day 2019 (5 of 5) appeared first on Cognitive Edge In my final post in this update series on Cynefin and I’m reserving the right to change things when I think about it more. I’ve been playing with options here on trains to and from particularly dark productions of tragic operas and the experience may have influenced by thinking.
Irving Wladawsky-Berger
DECEMBER 2, 2019
Looking back upon my long career , it’s frankly sobering how many once powerful IT companies are no longer around or are shadows of their former selves, e,g, Digital , Wang , Sun Microsystems , BlackBerry.
Stephen Downes: Half an Hour
OCTOBER 9, 2019
Summary of the presentation The 2019 National Survey of Online Learning in Canadian Post-secondary Education: Preliminary Results and Implications. where it's the large institutions that are growing - we're not seeing that pattern here). Moderated by Tony Bates. This is a follow-up from the first survey from 2017. Results are now available at [link] One of our main aims is to ensure our work adds value to responding institutions.
Dave Snowden
APRIL 19, 2019
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.
Clark Quinn
DECEMBER 3, 2019
Similarly, engineering equations about curves could be used for a roller coaster instead of a abstract pattern. In my book Engaging Learning , I had a suite of elements for both effective education practice and engaging experiences. Of course, the point was that they perfectly aligned.
Harold Jarche
DECEMBER 29, 2019
We may discern some patterns from the past but our current challenges — as we shift to an electric-digital-networked age — are unique.
Irving Wladawsky-Berger
JANUARY 7, 2019
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?
Clark Quinn
JULY 11, 2019
Using our brains for complex pattern matching and decision making is likely better than remembering arbitrary and rote steps. As one of the things I talk about, I was exploring the dimensions of difficulty for performance that guide the solutions we should offer. What determines when we should use performance support , automate approaches, we need formal training, or a blend, or…? It’s important to have criteria so that we can make a sensible determination.
Harold Jarche
OCTOBER 1, 2019
s’ network shows both patterns — a densely connected core along with loosely coupled radial branches reaching out from the core. Human systems thrive on variety and diversity and the Internet has created many more possible connection patterns. What we do not know. Our networks are great places for serendipitous connections. But they are not safe places to have deeper conversations or to expose our points of view, I noted last year in coffee, communities, and condescension.
Dave Snowden
OCTOBER 14, 2019
Youth, resilient and diverse stable with multiple varying pathways and patterns of relationships and power sharing balanced. I’ve been meaning to write about the “forest cycle” or the supposed necessity of chaos for some time. Yesterday’s post on the different between the Cynefin framework and the Stacy Matrix reminded me of the need.
Irving Wladawsky-Berger
JUNE 3, 2019
The results were published in a March, 2019 HBR article, What Makes Some People More Productive Than Others. Overall, three key patterns stood out. The past 10-15 years have seen a number of technology advances, from smartphones to machine learning. Yet, despite these impressive advances, for most of this period economies around the world have been stuck in an era of slow productivity growth.
Irving Wladawsky-Berger
SEPTEMBER 15, 2019
Overall, the study found that while in aggregate the country is doing well, there are actually multiple Americas, each with widely different economic patterns and on sharply different trajectories, some of which are doing quite well and face an exciting future, while others are not in good shape and risk falling further behind. The US economy looks good by almost any measure.
Irving Wladawsky-Berger
FEBRUARY 4, 2019
AI marketplace adoption will likely follow a typical S curve pattern , - that is, a relatively slow start in the early years, followed by a steep acceleration as the technology matures and firms learn how to best leverage AI for business value. AI is seemingly everywhere.
Irving Wladawsky-Berger
OCTOBER 7, 2019
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.”. “We have finally learned how to tread more lightly on our planet. It’s about time,” writes Andrew McAfee in the Introduction to his new book, More from Less : The Surprising Story of How We Learned to Prosper Using Fewer Resources - and What Happens Next.
Dave Snowden
AUGUST 18, 2019
By distributed I mean using multiple, cognitively, behaviourally and culturally diverse groups working independently of each other (wisdom of crowds) to reduce bias and pattern entrainment as well as to increase the possibility of outlier identification and novelty. . I’ve been thinking about the whole approach we are adopting to design thinking as the Whistler retreat approaches.
Clark Quinn
SEPTEMBER 24, 2019
We are pattern-matchers and meaning-makers, naturally making up explanations for things that happen. I’ve been thinking on LXD for a while now, not least because I’ve an upcoming workshop at DevLearn in Lost Wages in October. And one of the things I’ve been thinking about are the tools we use for LXD. I’ve created diagrams (such as the Education Engagement Alignment ), and quips , but here I’m thinking something else.
Harold Jarche
MARCH 20, 2019
” —Toni Morrison (2019) T he Source of Self-Regard: Selected Essays, Speeches, and Meditations. They see patterns before others do, as Kenneth Mikkelsen notes in his own experience that neo-generalists, “ live on the edge of the future and detect signals early on by accessing a wide variety of people, ideas, and information.” “… it’s easy, and it’s seductive, to assume that data is really knowledge. Or that information is, indeed, wisdom.
Harold Jarche
JULY 8, 2019
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. To a newer culture, older cultures appear to be primitive, lacking complexity. But each culture has its pros and cons.
Harold Jarche
NOVEMBER 25, 2019
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. Most situations at work can be considered from the perspective of — is this a known problem or not? If it’s known, then the answer can be looked up or the best person can be found to deal with it. The answer may even have been automated or outsourced. Known problems require access to the right information to solve them.
Clark Quinn
OCTOBER 29, 2019
Merriam-Webster defines it as “a gauge, pattern, or mold used as a guide to the form of a piece being made” In terms of software and business, templates are forms with some of the elements already completed. In terms of the various ways in which we can support the gaps in our cognition, one of the terms is ‘templates’ And it’s worth discussing what a template is, and considering them at a variety of levels. I want to suggest we should have templates for good.
Harold Jarche
NOVEMBER 1, 2019
During the inter-war period, many European democracies fell into a similar pattern of events. Every fortnight I curate some of the observations and insights that were shared on social media. I call these Friday’s Finds. When Francis Harwood, anthropologist, asked a Sioux elder why people tell stories, he answered, “In order to become human beings.” ” She asked, “Aren’t we human beings already? He smiled, “Not everyone makes it.”
Dave Snowden
FEBRUARY 10, 2019
A goal is to examine ways in which change can be stimulated; entrained patterns of needless difference reduced in their ability to dehumanise human interaction. The first time I saw the Aran Islands was back in the 70s from the Cliffs of Mohr. I was part of a weekend house party organised by Mary Condren (one of the faculty or our retreat) on the west coast of Ireland.
Dave Snowden
JANUARY 1, 2019
However with life come habits of personal behaviour, was of working and thinking that become patterns we can’t escape. We are not in detox January and we know an absolute change of that period is sufficient to break a pattern of approaching alcoholism or at least dependency. It doesn’t mean you change per se, but you have a chance to examine those patterns. Context is dynamic but patterns easily form.
Stephen Downes: Half an Hour
MARCH 13, 2019
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).
Stephen Downes: Half an Hour
JANUARY 4, 2019
These include pattern recognition, semantics, context-awareness, use or application, explanation and inference, and change. So (for example) I can see patterns others don't see, express myself in interesting ways, be able to predict events, etc. Short response to a questionnaire. What is Digital Literacy Digital literacy is a type of literacy, specifically, the type of literacy that arises in the digital context.
Stephen Downes: Half an Hour
JANUARY 15, 2019
Continuing from Part 1 The story so far In Part 1 I covered the basics of Electron up to and including building executable applications from the Node.js application. In particular I looked at the fundamental role played by the package.json file in defining the application requirements, defining start and build scripts, and giving Electron a script to begin running, which we called bootstrap.js. In turn, bootstrap.js
Stephen Downes: Half an Hour
OCTOBER 8, 2019
There are three main types of machine learning: supervised learning, where you provide lables or tags with the data, and the computer learns to identify unlabled data unsupervised learning, where we don't have lables in the data we provide, where the machine tries to find patterns, clusters or similarities in the data, which it then uses to classify everything else reinforcement learning - eg. Summary of a talk by Alan Bostakian, Senior Analyst, TD Bank - Future Ready project Why?
Dave Snowden
FEBRUARY 10, 2019
Ironically to propose that is a form of neo-colonialism and, in the current political climate , well meaning narratives of political correctness (while in the opinion of the author of this blog are generally correct) are triggering an anti-story or stories in which the negative pattern or trope has already evolved to accommodate direct attack and moral criticism.
Dave Snowden
JANUARY 4, 2019
Now that returns me to an earlier theme about the importance of children’s literature to settling the patterns or dispositions of ethical behaviour. I first came across the idea of the numinous when I picked up a second hand copy of Rudolf Otto’s book The Idea of the Holy which I picked up on one the Ampleforth retreats I mentioned in a previous post.
Harold Jarche
OCTOBER 18, 2019
The older, traditional ideas of private, isolated thoughts and actions — the patterns of mechanistic technologies — are very seriously threatened by new methods of instantaneous electric information retrieval” —Marshall McLuhan, 1967. Every fortnight I curate some of the observations and insights that were shared on social media. I call these Friday’s Finds.
Stephen Downes: Half an Hour
OCTOBER 8, 2019
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….
Martijn Linssen
DECEMBER 15, 2019
Whereas I usually quit cold turkey, this time I lingered a bit, publishing a handful of blog posts in 2013, even one in 2014, and I'm sure that my Twitter activity followed much the same pattern; I've always said that the combination of the two is what upholds my 'Circle of Inspiration'. I pretty much left Twitter - and my blog - in 2013.
Stephen Downes: Half an Hour
MARCH 23, 2019
When we look at random things, we see patterns in them. Human brains are essentially pattern-recognition devices. So it's no surprise that we recognize patterns. Église Saint-Jean-Baptiste de Saint-Jean-de-Luz, photo by the author. Prompted by a sketch on CBC radio, I was curious this morning to see how Google would answer the question, "Does God exist?" To my mild surprise, the first page of results consisted of statements that God does, in fact, exist.
Euen Semple
AUGUST 23, 2019
Up to eight or ten deliveries in a day, many of them in remote areas with windy country lanes, or in Central London with it’s gloriously random patterns of roads. Whenever I say that I am setting out on a career in truck driving people invariably say something like “you must be mad - that is all going to be automated soon”. Err…no…. Maybe the long haul stuff between Regional Distribution Centres, maybe in American cities with their more regimented grid systems, but everything else?
Euen Semple
FEBRUARY 4, 2019
I am clearly making sweeping generalisations, and people in any group in society can face problems, but this is a pattern I have seen played out over and over. I have often told this story of being a student at St Andrew's and then working as a labourer in Glasgow during the holidays so forgive me if you have heard it before. At St Andrew's I encountered lots of old money people, people who had always had money, didn't think about money, and had loads of confidence.
Euen Semple
JANUARY 13, 2019
I have just started reading The Patterning Instinct by Jeremy Lent, described as "A cognitive history of man's search for meaning." " - Right up my street! Reading the opening chapters on how language developed, how communal thinking came to be a thing, and the anthropological approaches currently being combined with recent advances in neuroscience, made me realise yet again what a malleable thing the truth is.
Stephen Downes: Half an Hour
JUNE 9, 2019
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. I was asked: 1) Today I found a great idea in your work that I've been thinking about a lot recently.
Edge Perspectives
APRIL 24, 2019
And the more customers they serve, the more helpful they can be to each customer, because they can start to see patterns, and become more proactive by suggesting things to a customer based on an observation that other people like them have derived significant value from some resource that the customer has not even asked about. In a book I wrote 20 years ago, I identified an opportunity that has yet to be addressed, but is becoming more and more attractive.
Beth Kanter
JULY 9, 2019
I shared a few more examples of AI-driven fundraising here ) 3) Campaign Content: Examples of nonprofits using Quilt.AI , which takes every organization’s digital imprint and lets a nonprofit to better understand data patterns in large amount of data to predict changes in human behavior. 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.
Beth Kanter
FEBRUARY 27, 2019
And while those engagement surveys mean well, they end up being distracting us with data on people’s likes and dislikes, rather than identifying the underlying patterns that are generating the dissatisfaction in the first place—patterns that lie deep inside your workplace culture. Those culture patterns are the missing link here, and until you can find and fix the culture patterns that are interfering with success, engagement will not improve.
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