Human Sensor Networks… the ultimate executive coach

Dave Snowden

As we provide her with feedback on the course one request that came from Dave was to include some information on what we are calling “human sensor networks” Now having an engineering background myself, I’m very comfortable with technical jargon and I often make references to human systems using terms more common in technical environments. The use of SenseMaker® is delivering valuable patterns of meta-data to make the lessons learning and culture programs effective.

Beyond Institutions Personal Learning in a Networked World

Stephen Downes: Half an Hour

The talk is called "Beyond Institutions Personal Learning in a Networked World" and I want to begin with a story that came across the wires recently and I thought was very appropriate for this venue. Models of how to do learning, learning design patterns: Grainne Conole has done a lot on this.

Machine Learning and Knowledge Discovery

Irving Wladawsky-Berger

It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems like language translation and natural language processing.

Data 182

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

T hey eventually discovered that all event-data representing human activity contain a special set of social activity patterns regardless of what the data is about.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Deep-Learning Networks Rival Human Vision - “AI now matches or exceeds the ability of experts in medicine and other fields to interpret what they see”. As new data is ingested, the system rewires itself based on whatever new patterns it now finds.

Customer experiences as narrative landscapes

Dave Snowden

As such the focus is on capturing a sufficient sample of a wider flow of experiences moment to moment. The opening image, shown again below, is a sample of a narrative landscape.

Sample 232

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

Just about every process can become digital aware, networked and smart. Cognitive insight projects take AI to the next level, using machine learning and other advanced algorithms to detect patterns in vast volumes of data.

Data 207

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

Just about every process can become digital aware, networked and smart. Cognitive insight projects take AI to the next level, using machine learning and other advanced algorithms to detect patterns in vast volumes of data.

Data 165

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Social network mapping and analysis skills. Today we are not often working in the confines of boundaried communities (see Post 2) so being able to see and understand the larger network is critical. Ditto for social network mapping and analysis.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Deep-Learning Networks Rival Human Vision - “AI now matches or exceeds the ability of experts in medicine and other fields to interpret what they see”. It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems like computer vision, natural language processing and machine translation. As new data is ingested, the system rewires itself based on whatever new patterns it now finds.

The Datafication of Business and Society

Irving Wladawsky-Berger

I first encountered the term datafication in The Rise of Big Data: How It’s Changing the Way We Think About the World , by Kenneth Cukier and Viktor Mayer-Schönberger.

Data 253

Creating More Intelligent Organizations

Irving Wladawsky-Berger

In the second study, they formed 152 groups ranging from two to five members to try to replicate the findings of the first study with groups of different sizes, using a broader sample of tasks. How human societies and human networks work.

Only 14% think that company training is an essential way for them to learn in the workplace

Jane Hart

Firstly, this same pattern of results was visible across all functions. Personal & professional networks & communities. That was one of the findings of my recent anonymous survey on how people learn best in the workplace, and even I was surprised by the results.

Design principles in DSS software

Dave Snowden

Now Jeff and I provide different perspectives on the whole issue of how you find patterns, my emphasis on human metadata compliments his ability to mash the numbers. Human sensor networks are key. Models are more limited than such networks in their real time, fast feedback capability.

How to support informal learning

Jay Cross's Informal Learning

He chairs the Internet Time Alliance, a brain trust of six thought leaders who help companies boost their collective intelligence and profitability through networks. Formal learning is patterned after schools. Interview. by Robert Morris, Dallas Business Commentary Examiner.

The future of higher education and other imponderables

George Siemens

The patterns of change in higher education are surprisingly similar and global. As a result, they have not developed systemic capacity to function in a digital networked age. Not all countries are adopting the aggressive UK model, but tuition patterns internationally (.pdf)

Human-AI Decision Systems

Irving Wladawsky-Berger

In 2014 he published Social Physics : How Social Networks Can Make Us Smarter. Few organizations have applied social network analysis to help them scale the size and expertise of the decision-making group. It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems, including natural language processing, language translation and computer vision.

System 100

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

Just about every process can become digital aware, networked and smart. Cognitive insight projects take AI to the next level, using machine learning and other advanced algorithms to detect patterns in vast volumes of data. Machine learning gets around Polanyi’s Paradox by giving computers the ability to learn by analyzing and finding patterns in large amounts of data, instead of being explicitly programmed.

SXSW: What Social Media Analytics and Data Can’t Tell You

Beth Kanter

Alexandra gave an overview of the methodology offered by her company, Vision Critical , and some insights they have learned from combining a survey data from large sample with appending actual social media usage. Our sample was combined US and Canada populations).

Cynefin strategy & building resilience

Dave Snowden

DAY TWO: Building resilience , new organisational forms, creating response networks, building capability for ordinary purposes that can be activated for extraordinary need, mapping knowledge flow between decisions bottom up. SAMPLE COMMENTS FROM PAST PARTICIPANTS. For the last year I have been experimenting with what we (foolishly) called an advanced course. I've taught it now for the best part of a year, both on my own and variously with Michael and Tony.

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).

AI predicts poker bets to three decimals places

Mind Hacks

Poker is considered one of the most skillful of betting games, but a new study published in the Journal of Gambling Studies reports on an artificial neural network that predicts gambler's bets to three decimals places. The system was built by researcher Victor Chan who created a relatively simply backpropogation neural network to predict future plays. Chan used the playing patterns of six online Texas Hold 'em players each of whom played more than 100 games each.

195 posts about MOOCs

Jay Cross

2b2k] MOOCs as networks. Adapting to a networked world HAROLD JARCHE | THURSDAY, SEPTEMBER 8, 2011. patterns, social psychology, value network analysis, anthropology, complexity theory, and more. Peeragogy: Self Organized Peer Learning in Networks. Page 1 of 2.

eLgg 238

All The Good Ideas Links That Are Fit To Print

Steven Berlin Johnson

The Guardian feature ends with a discussion of the politics of open networks, which I then explored in my detail in this column from the NY Times Sunday business section: “. In terms of reviews, here’s a small sample of recent appraisals of the book. The more we embrace these patterns’ in innovative spaces, Johnson says, ‘the better we will be at tapping our extraordinary capacity for innovative thinking.’

[liveblog] Judith Donath on designing for sociality (“Social Machines”)

David Weinberger

Our computers connect us to tremendous crowds, but we don’t see the level of activity or the patterns. She shows some other ways of displaying social network maps, but such maps aren’t yet integrated into the social network interfaces. They then took the same data and looked not at every edit, but sampled it at fixed times. People are more interested in keeping the patterns of relationships than in the individual emails.

Design 151

Pick of the Month: August 2012

Jane Hart

Considering that in complex, networked environments, where work is learning and learning is the work, would it not be better to find out how people are learning? August is typically a quiet month, but there have been plenty of good blog posts and articles around.

PKM 199

A Year in Photos

Stephen Downes: Half an Hour

Organizations aren’t thinking about the ‘networked individual’ – the networking choices and patterns of individual Internet users. They’re still focused on their own organizational information systems and traditional institutional networks. -- William H.

Connective Knowledge and Open Resources

Stephen Downes: Half an Hour

To me, the theory is and always has been ‘learning networks’. This is a play on words: it is in part a theory about using networks to support learning, and in part a theory about how networks learn. It led me to propose content syndication networks in education, and to embrace social media in education. I outlined my theory in the paper ‘Learning Networks’ in 2004 [link] and George wrote his important paper also in 2004.

[liveblog] Noam Chomsky and Bart Gellman at Engaging Data

David Weinberger

Took a sample. My phone tracks me and my social network. But it measures down to the apartment level, which could be useful to the police trying to establish your personal patterns. I’m at the Engaging Data 2013 conference where Noam Chomsky and Pulitzer Prize winner (twice!) Barton Gellman are going to talk about Big Data in the Snowden Age, moderated by Ludwig Siegele of the Economist. Gellman is one of the three people Snowden vouchsafed his documents with.)

Data 184

Czech Course Followup Questions

Stephen Downes: Half an Hour

In an open communicative environment, where people depend on each other for ideas and inspiration, and where a mesh-like network of connections between these people develops, a form of organization emerges of its own accord. This phenomenon is well known - look up 'clustering' in the network literature. But in a network-based cooperative environment, the self-serving communicator is unable to obtain success.

Course 138

Mass Collaboration Workshop, Day Two

Stephen Downes: Half an Hour

An example is social tagging networks. The tags establish a network of connections among the resources and the tags, and among the resources themselves, and the users who read them. A socio-cognitive approach for studying and supporting interaction in the social web Tobias Ley We want to talk about how we can make massive social network data work for us. This leads to the exploration of the potential for modeling collaborative knwoledge through its networks structure.

Think anew, Act anew: Scenario Planning

Dave Snowden

Their reports of the sessions appeared to most of us, to confirm with the sample outcomes we had been shown rather than the spirited and diverse discussions we had engaged in. The diversity of participants in the process is also an issue and there are inherent dangers of pattern entrainment in workshop processes. A small number of people in a workshop are too easily subject to pattern entrainment and cognitive bias.

Module 148

The 2010 IBM Global CEO Study

Irving Wladawsky-Berger

Technology is a second major factor contributing to growing complexity: “… creating a world that is massively interconnected, with broad-based convergence of systems of all kinds, both man-made systems like supply chains or cities; and natural systems like weather patterns or natural disasters. Even more striking, during the economic crisis, Standouts’ revenue growth was six times higher than the rest of the sample. IBM recently released the 2010 Global CEO Study.

Study 166

SXSW 2013: Measurement and Making Sense of Your Data

Beth Kanter

This post summarizes the sessions I facilitated or participated in related to “ Measuring the Networked Nonprofit ,” which included a book signing, panel discussion in the Beacon Lounge , and a workshop with co-author KD Paine.

Data 91

Seminar on MOOCs, Lyon, France, Day 2

Stephen Downes: Half an Hour

analytics - richness of social networks but: processing is more marketing than cognitive so far (A/B testing) - and the tension between the individual and the collective plus: the ideology of reducing everything to numbers - education as technology - does big data explain or does it merely predict? - Again these talks are all in French so my note-taking may be inaccurate in places.

Innogive Conference Panel Resources: Mobile is the Needle, Social is the Thread

Beth Kanter

“ Mobile is the Needle, Social the Thread ” is the name of a presentation from Pew Internet data that illustrates the rapid growth of mobile connectivity and social networking in the U.S., She is also the Membership Director at NTEN: The Nonprofit Technology Network.

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Social network mapping and analysis skills. Today we are not often working in the confines of boundaried communities (see Post 2) so being able to see and understand the larger network is critical. Ditto for social network mapping and analysis.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Social network mapping and analysis skills. Today we are not often working in the confines of boundaried communities (see Post 2) so being able to see and understand the larger network is critical. Ditto for social network mapping and analysis.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Social network mapping and analysis skills. Today we are not often working in the confines of boundaried communities (see Post 2) so being able to see and understand the larger network is critical. Ditto for social network mapping and analysis.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Social network mapping and analysis skills. Today we are not often working in the confines of boundaried communities (see Post 2) so being able to see and understand the larger network is critical. Ditto for social network mapping and analysis.

Skills 102

Full Circle Associates " Musings on "community management" Part 1

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Social network mapping and analysis skills. Today we are not often working in the confines of boundaried communities (see Post 2) so being able to see and understand the larger network is critical. Ditto for social network mapping and analysis.

Skills 100

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Social network mapping and analysis skills. Today we are not often working in the confines of boundaried communities (see Post 2) so being able to see and understand the larger network is critical. Ditto for social network mapping and analysis.

Skills 100

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Social network mapping and analysis skills. Today we are not often working in the confines of boundaried communities (see Post 2) so being able to see and understand the larger network is critical. Ditto for social network mapping and analysis.

Skills 100