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social learning for complex work

Harold Jarche

It’s a question of complexity. Complicated systems and the training for them can be controlled and information organized for reference.

Complex knowledge

Harold Jarche

Sharing information and viewing it through our individual filters is the best that we can hope for in terms of knowledge transfer.

Coherence in complexity

Harold Jarche

Complexity, driven by global networked communications, is the main factor. complexity InternetTime SocialBusiness

Build trust, embrace networks, manage complexity

Harold Jarche

They work well when information flows mostly in one direction: down. Most organizations still deal with complexity through reorganization.

Networks thrive in complexity

Harold Jarche

In complex environments, weak hierarchies and strong networks  are the best organizing principle. complexity Wirearchy

Complex Systems and the “Rashomon Effect”

Irving Wladawsky-Berger

Complex Systems Data Science and Big Data Innovation Supercomputing Technology and Strategy The movie is famous for its novel plot device. 

Re-wiring for the Complex Workplace

Harold Jarche

Complexity is the new normal. Re-wiring for complexity. Organizations need to understand complexity instead of adding more complication.

Pulling informal learning

Harold Jarche

Informal learning is mostly Pull. Informal LearningTake a look at these 8 demand-side knowledge management principles by Nick Milton.

Design thinking & complexity pt 1

Dave Snowden

Now I know one experience should not inform me, hence the reading and conversations but none of that really changes my judgement on this.

hold space for complex problems

Harold Jarche

” Work informs much of our relationship with society. Every one of the major challenges facing us is complex. Complexity Democrac

Social Learning, Complexity and the Enterprise

Harold Jarche

Our relationship with knowledge is changing as our work becomes more intangible and complex. Complexity: the new normal. Social learning.

The Complex Nature of Cloud-based Innovation

Irving Wladawsky-Berger

By now, most will agree that  cloud computing is a major transformational force in the world of IT. But, cloud has not the easiest concept to grasp.

Scale and Complex Systemic Innovation

Irving Wladawsky-Berger

We generally think of large companies as being good at operations and incremental innovations, which require them to excel at management discipline, detailed information analysis and project management.  This kind of complex systemic innovation leverages lots of known ideas and makes them work together to help address important problems.

Design Principles for Complex, Unpredictable, People Oriented Systems

Irving Wladawsky-Berger

An IBM Global CEO Study conducted in 2010 concluded that complexity was the primary challenge emerging out of its conversations with 1,500 CEOs and senior government officials.  CEOs told us they operate in a world that is substantially more volatile, uncertain and complex.  They generally involve a relatively linear set of steps. 

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PKM is making sense of complexity

Harold Jarche

It is in making sense of complexity. agree. Periodically you relax the constraints again to allow new possibilities to emerge.

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Social networked learning in complex information environments

George Siemens

The slides from my presentation are below: Social Networked Learning

Informal rule of thumb

Harold Jarche

According to Gary, as much as 95% of workplace learning is informal. This is completely inadequate in a complex work environment.

Preparing Students for an Increasingly Complex Business World

Irving Wladawsky-Berger

Are engineering and management schools adequately preparing students for our fast-changing, highly complex business world? 

Informal learning, the 95% solution

Harold Jarche

Tweet Informal learning is not better than formal training; there is just a whole lot more of it. Informal Learning

Big Data, Complex Systems and Quantum Mechanics

Irving Wladawsky-Berger

What are some of these limitations?  In thinking about this question  over the last few years, I started to notice that a number of subtle, non-intuitive concepts that I learned many years ago as a physics student seem to apply to the world of big data and information-based predictions in highly complex systems.  Let me explain.  .

Informal Learning – the other 80%

Jay Cross

The start-up stiffed me but the paper morphed into the Informal Learning book. Informal Learning – the other 80%. Execution is the goal.

On the Complex Evolution toward Mobile Digital Payments

Irving Wladawsky-Berger

Let’s hope that initiatives like Apple Pay will help propel forward the complex evolution toward mobile digital payments. .

Informal learning is a business imperative

Harold Jarche

Supporting informal learning and helping connect tacit knowledge in the enterprise are now business imperatives, not just something extra.

Want Results? Champion the Informal

Jay Cross

We have an information explosion. The world is becoming more complex. Informal Learning Learning is more important than ever.

Complexity, Information, and Education

George Siemens

I’m in Rijeka, Croatia. It’s my first visit hear and it’s a beautiful country. The scenery is spectacular. Unfortunately, most of my time has been spent in a hotel room writing and getting caught up on email/work, etc. View more presentations from gsiemens

Networks, Information, and Complex Adaptive Systems

Stephen Downes: Half an Hour

The first part is designed to be very broad, as a "view of the universe as a self-organizing information system that can, in some sense, be seen to have knowledge and to change through co-adaptation of its parts." We need to be clear about what we mean by an information system. We need to be clear about what we mean by information.

Learning in Complexity

Harold Jarche

” @webestime – “Simple rules lead to complex behavior. ” @CharlesJennings – “in a complex world, continuous learning is the only option available to us” – Globalization, Complexity & Change. But they also remove important information from the attention of the flight crew.

Complexity, swiss cheese and failure

Harold Jarche

How Complex Systems Fai l [PDF] Complexity, swiss cheese and failure. Human practitioners are the adaptable element of complex systems.

Complexity and Public Administration

Dave Snowden

So what is applying complexity thinking to public policy really all about? This blog is being posted on behalf of Thomas Townsend.

Managing Complex, Disruptive Innovations - Some Lessons Learned

Irving Wladawsky-Berger

Complex Systems Economic Issues Innovation Management and Leadership Technology and StrategyHow will your industry change over time? 

Strategy and Execution in an Increasingly Complex World

Irving Wladawsky-Berger

Twenty-thirty years ago, the business world was arguably less complex, slower moving and more predictable.  The design of products needs to now incorporate the ability to deliver such services efficiently and flexibly by leveraging advances in information technology. . But, the article goes on to succinctly defines strategy as “.

Drug addiction: The complex truth

Mind Hacks

Rat Park also suggests that when stories about the effects of drugs on the brain are promoted to the neglect of the discussion of the personal and social contexts of addiction, science is servicing our collective anxieties rather than informing us. We’re told studies have proven that drugs like heroin and cocaine instantly hook a user.

Why is learning and the sharing of information so important?

Harold Jarche

Communities complexity NetworkedLearningTweet The Globe & Mail: The diplomacy of knowledge.

The Complex Transition to the Age of the Cloud

Irving Wladawsky-Berger

For a number of years I’ve been convinced that cloud computing truly represents a major transformation in the way all institutions, from the smallest to the largest, will leverage information technologies.  Cloud computing is a highly complex initiative - at the technical, business and organizational levels. 

Complex Sociotechnical Systems: the Case for a New Field of Study

Irving Wladawsky-Berger

They generally exhibit a level of complexity that is often beyond our ability to understand and control.  Complex sociotechnical systems are high-impact, difficult-to-understand, technology-intensive systems that have major societal, political and economic implications.  Sussman calls this evaluative complexity

Beyond GDP - Measuring Value in a Service-oriented, Information-based, Digital Economy

Irving Wladawsky-Berger

Most measures of economic performance used by government officials to inform their policies and decisions are based on GDP figures. 

A learning system to meet the needs of a complex knowledge era

George Siemens

gave a talk on the type(s) of learning system(s) that are needed to address complex knowledge needs. We gain an understanding of needed learning systems, I argue, by evaluating the attributes of information in digital networks and through focusing on the nature of knowledge needs in complex settings

Solving Big Problems in Our 21st Century Information Society

Irving Wladawsky-Berger

The article reminds me how much our society has changed in the last twenty years, in particular, the different way we solved big problems at the zenith of our 20th century industrial economy versus the way we now do so in the early stages of the 21st century information economy. . But why, some say, the moon?  Why climb the highest mountain? 

Information, Money and Related Subjects

Irving Wladawsky-Berger

Money is continuing its centuries old transformation from being embodied in objects with intrinsic value, like gold and silver, to being nothing more than information in the digital wallets of our mobile devices as well as in our digital accounts someplace out there in the cloud.  Today. we are happy with money we cannot even see. 

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Information: What am I missing?

George Siemens

What can we do now with information that we could not do in the past? I’ve abused Kauffman’s concept of the adjacent possible by applying it to the new opportunities, untapped potential, and levels of complexity, that arise with the development of something new. What can we do with information that I’ve overlooked?

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