Systems Theory
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Systems Theory
theoretical aspects of (social) systems theory
Curated by Ben van Lier
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The Emerging Science of Human-Data Interaction | #bigdata #HDI

The Emerging Science of Human-Data Interaction | #bigdata #HDI | Systems Theory |
The rapidly evolving ecosystems associated with personal data is creating an entirely new field of scientific study, say computer scientists. And this requires a much more powerful ethics-based infrastructure.

Via luiy
luiy's curator insight, January 9, 2015 4:13 AM

... Richard Mortier at the University of Nottingham in the UK and a few pals say the increasingly complex, invasive and opaque use of data should be a call to arms to change the way we study data, interact with it and control its use. Today, they publish a manifesto describing how a new science of human-data interaction is emerging from this “data ecosystem” and say that it combines disciplines such as computer science, statistics, sociology, psychology and behavioural economics.


They start by pointing out that the long-standing discipline of human-computer interaction research has always focused on computers as devices to be interacted with. But our interaction with the cyber world has become more sophisticated as computing power has become ubiquitous, a phenomenon driven by the Internet but also through mobile devices such as smartphones. Consequently, humans are constantly producing and revealing data in all kinds of different ways.


Mortier and co say there is an important distinction between data that is consciously created and released such as a Facebook profile; observed data such as online shopping behaviour; and inferred data that is created by other organisations about us, such as preferences based on friends’ preferences.

Original Article :

Rescooped by Ben van Lier from Amazing Science!

‘Superorganisations’ – Learning from Nature’s Networks

‘Superorganisations’ – Learning from Nature’s Networks | Systems Theory |

Fritjof Capra, in his book ‘The Hidden Connections’ applies aspects of complexity theory, particularly the analysis of networks, to global capitalism and the state of the world; and eloquently argues the case that social systems such as organisations and networks are not just like living systems – they are living systems. The concept and theory of living systems (technically known as autopoiesis) was introduced in 1972 by Chilean biologists Humberto Maturana and Francisco Varela.


This is a complete version of a ‘long-blog’ written by Al Kennedy on behalf of ‘The Nature of Business’ blog and BCI: Biomimicry for Creative Innovation www.businessinspired...

Via Peter Vander Auwera, ddrrnt, Spaceweaver, David Hodgson, pdjmoo, Sakis Koukouvis, Dr. Stefan Gruenwald
Monica S Mcfeeters's curator insight, January 18, 2014 8:57 PM

A look at how to go organic with business models in a tech age...

Nevermore Sithole's curator insight, March 14, 2014 9:01 AM

Learning from Nature’s Networks

pdjmoo's curator insight, December 6, 2014 11:04 PM







Rescooped by Ben van Lier from Amazing Science!

Roger Penrose: The Human Brain is More Complex than a Galaxy

Roger Penrose: The Human Brain is More Complex than a Galaxy | Systems Theory |

According to physicist, Roger Penrose, What’s in our head is orders of magnitude more complex than anything one sees in the Universe: "If you look at the entire physical cosmos," says Penrose, "our brains are a tiny, tiny part of it. But they're the most perfectly organized part. Compared to the complexity of a brain, a galaxy is just an inert lump." 


Each cubic millimeter of tissue in the neocortex, reports Michael Chorost in World Wide Mind, contains between 860 million and 1.3 billion synapses. Estimates of the total number of synapses in the neocortex range from 164 trillion to 200 trillion. The total number of synapses in the brain as a whole is much higher than that. The neocorex has the same number of neurons as a galaxy has stars: 100 billion.  "All stars can do is pull on each other with gravity," writes Chorost, and, if they are very close, exchange heat."


One researcher estimates that with current technology it would take 10,000 automated microscopes thirty years to map the connections between every neuron in a human brain, and 100 million terabytes of disk space to store the data.


Galaxies are ancient, but self-aware, language-using, tool-making brains are very new in the evolutionary timeline, some 200,000-years old. Most of the neurons in the neocortex have between 1,000 and 10,000 synaptic connections with other neurons. Elsewhere in the brain, in the cerebellum, one type of neuron has 150,000 to 200,000 synaptic connections with other neurons. Even the lowest of these numbers seems hard to believe. One tiny neuron can connect to 200,000 neurons.


"The universe could so easily have remained lifeless and simple -just physics and chemistry, just the scattered dust of the cosmic explosion that gave birth to time and space," says Richard Dawkins, the famed Oxford evolutionary biologist reflecting on the sheer wonder of the emergence of life on Earth and the evolutionary process in his classic The Ancestor's Tale.


"The fact that it did not -the fact that life evolved out of literally nothing, some 10 billion years after the universe evolved literally out of nothing -is a fact so staggering that I would be mad to attempt words to do it justice. And even that is not the end of the matter. Not only did evolution happen: it eventually led to beings capable of comprehending the process by which they comprehend it."

Via Dr. Stefan Gruenwald
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