Déjà Vu

There are a lot of 20th Century pundits trying to revive stale, Industrial Era concepts of work. They are making lofty claims and calling it, ‘The Future of Work.’ They are focused on ‘new transformative information technologies.‘ It is not only useless, pathetic and harmful, it’s déjà vu all over again. These unscrupulous ‘Future of…

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Crowd Science

Recently there was a discussion on the scientific integrity and merits of Wikipedia. It concerned the not-so-favorable Wikipedia entry for neurolinguistic programming (NLP). The discussion also revealed important principles of collective intelligence and crowd science. Before continuing, please note that pseudoscience is not protoscience. Basically, an ardent support of NLP pseudoscience was concerned with Wikipedia’s…

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In Conversation with David Snowden

  In Conversation with David Snowden  Please join Colabria for a special reception and conversation with David Snowden on May 6th 2014 at 6PM in downtown San Francisco. Dave is a well-known authority, leader and researcher in the field of complexity science, leadership, Agile development, knowledge management and narrative. Dave is the Founder and Chief Scientific Officer…

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Maximize Optimal

As the headlong flight to the knowledge-based, network economy accelerates, common word usage changes. Some rise in meaning and importance; others become harmful and destructive. Among the most important are optimize versus maximize. Maximal systems, whether empires, organizations, complex wetlands or amplifiers, are often harmful, destructive and unsustainable. Eventually they always consume themselves and collapse,…

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Complexity Digest April 2014 Part Two

Complexity Archive April 2014 The infection tree of global epidemics The spreading of transmissible infectious diseases is inevitably entangled with the dynamics of human population. Humans are the carrier of the pathogen, and the large-scale travel and commuting patterns that govern the mobility of modern societies are defining how epidemics and pandemics travel across the…

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Collective Intelligence 2014

 Collective Intelligence 2014 MIT, Cambridge, MAJune 10-12, 2014   This interdisciplinary conference seeks to bring together researchers from a variety of fields relevant to understanding and designing collective intelligence of many types. Topics of interest include but are not limited to: human computation social computing crowdsourcing wisdom of crowds (e.g., prediction markets) group memory and…

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Ideation

Ideation (idea generation) is the knowledge management (KM) activity of generating, developing, and communicating new ideas. The ideation cycle is innovation, through design, to development and full actualization. Tomorrow’s economy depends more and more on perpetual ideation. Capital, energy, talent, leadership, etc., are important, but it’s accelerated knowledge management that propels 21st Century business.  Ideation is among the…

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Innovation and Invention

Among the most misused business terms are innovation and invention. Paradoxically, there are also widely accepted meanings of these terms. Still, misuse is pervasive here in Silicon Valley and for business everywhere. The contemporary, definitive business definition of innovation was offered by Michael Porter at Harvard in the 1980s in his books on Competitive Advantage…

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Hierarchy and Megaphones

Hierarchy Organizational Hierarchy is an authoritarian concept where people and groups are ranked one above the other according to status. In hierarchy, one actor, the hierarch, is superior to all of the others in the network set. Hierarchical authority in multiple network sets is transitive, e.g., a general manager in Poughkeepsie has the same authority…

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Same Time Same Place

Networks can defeat the tyranny of geography. Unfortunately, there are major unintended consequences. Among the most severe problem is the faulty approach to collaboration, discussion and conversation. People use technology when face-to-face is required. They use face-to-face when technology works great. It’s a real mess. Fortunately, the definitive answer is simple! There are four choices.…

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Heutagogy

Sahana Chattopadhyay has thoughtfully modulated the well-known Cynefin Framework for heutagogy or self-determined learning. The current version is below. Self-determined learning and distributed phronesis are essential planks of 21st Century Learning. To refract and anneal self-directed and organizational learning vis-à-vis an existing framework is an apt contribution. Sahana asked for feedback. Several elements are absent and…

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Museum KM

Why are knowledge management (KM) people determined to treat organizations as museums? How did KM become so corrupt as to focus on the collection and storage of information artifacts? Why has the obsolete 20th Century KM Establishment not recognized the utter collapse of archives, library science, information repositories, portals and other artifacts of ‘Museum KM?’…

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SNS Implementation

There is a gargantuan split in how people approach enterprise pull-through for enterprise social network services (SNS). The problem is naive people, in 2014, are still leading with tools and technology. What’s even worse, despite massive failures and hundreds of billions down the drain, some are following the 1990s ERP deployment handbook for social network…

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Look Back to Move Forward

The requirements of organizational knowledge management (KM) have changed dramatically. Yet, many in the failing KM Establishment cling to outdated motives, methods, objectives and practices. It is so bad, they are even trying to create KM Standards for organizations of the 1990s! It is counterproductive and problematic to continue to focus on KM used for…

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Social Media & Society Conference

Social Media & Society Conference(#SMSociety14) September 27-28, 2014Toronto, Canada   DESCRIPTION We live in an era of “Big Data”. Petabyte and exabyte-size datasets are becoming increasingly common. Much of the data is coming from social media in the form of user-generated content. What do we do with all of these “social” data and how do…

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Biological KM

The shift away from mechanical, informational process thinking towards biological and living systems for knowledge creation, usage and leadership is well underway. However, certain vestiges exists in the moribund knowledge management (KM) community. Many of the grave defects in KM are perpetuated in online discussion groups. Many KM amateurs, longing for rigid 20th Century-style information…

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