Friday, October 18, 2013

Complicated or complex – knowing the difference is important | sparksforchange

Complicated or complex – knowing the difference is important | sparksforchange

It complements the LfS Managing complex adaptive systems page, which provides annotated links to a number of key on-line resources in this area. The previous blog post provides an introduction to theories of change, and a set of annotated links to key resources in this area can be found from the LfS web page – Theory of change. The BetterEvaluation Blog also has a very useful and related posting Addressing complexity which discusses the growing topic of how to address complexity in evaluation. - See more at: http://learningforsustainability.net/sparksforchange/complicated-or-complex-knowing-the-difference-is-important-for-the-management-of-adaptive-systems/#sthash.qUYJlAMn.
It complements the LfS Managing complex adaptive systems page, which provides annotated links to a number of key on-line resources in this area. The previous blog post provides an introduction to theories of change, and a set of annotated links to key resources in this area can be found from the LfS web page – Theory of change. The BetterEvaluation Blog also has a very useful and related posting Addressing complexity which discusses the growing topic of how to address complexity in evaluation. - See more at: http://learningforsustainability.net/sparksforchange/complicated-or-complex-knowing-the-difference-is-important-for-the-management-of-adaptive-systems/#sthash.qUYJlAMn.dpuf
It complements the LfS Managing complex adaptive systems page, which provides annotated links to a number of key on-line resources in this area. The previous blog post provides an introduction to theories of change, and a set of annotated links to key resources in this area can be found from the LfS web page – Theory of change. The BetterEvaluation Blog also has a very useful and related posting Addressing complexity which discusses the growing topic of how to address complexity in evaluation. - See more at: http://learningforsustainability.net/sparksforchange/complicated-or-complex-knowing-the-difference-is-important-for-the-management-of-adaptive-systems/#sthash.qUYJlAMn.dpuf
It complements the LfS Managing complex adaptive systems page, which provides annotated links to a number of key on-line resources in this area. The previous blog post provides an introduction to theories of change, and a set of annotated links to key resources in this area can be found from the LfS web page – Theory of change. The BetterEvaluation Blog also has a very useful and related posting Addressing complexity which discusses the growing topic of how to address complexity in evaluation. - See more at: http://learningforsustainability.net/sparksforchange/complicated-or-complex-knowing-the-difference-is-important-for-the-management-of-adaptive-systems/#sthash.qUYJlAMn.dpuf
It complements the LfS Managing complex adaptive systems page, which provides annotated links to a number of key on-line resources in this area. The previous blog post provides an introduction to theories of change, and a set of annotated links to key resources in this area can be found from the LfS web page – Theory of change. The BetterEvaluation Blog also has a very useful and related posting Addressing complexity which discusses the growing topic of how to address complexity in evaluation. - See more at: http://learningforsustainability.net/sparksforchange/complicated-or-complex-knowing-the-difference-is-important-for-the-management-of-adaptive-systems/#sthash.qUYJlAMn.dpuf
It complements the LfS Managing complex adaptive systems page, which provides annotated links to a number of key on-line resources in this area. The previous blog post provides an introduction to theories of change, and a set of annotated links to key resources in this area can be found from the LfS web page – Theory of change. The BetterEvaluation Blog also has a very useful and related posting Addressing complexity which discusses the growing topic of how to address complexity in evaluation. - See more at: http://learningforsustainability.net/sparksforchange/complicated-or-complex-knowing-the-difference-is-important-for-the-management-of-adaptive-systems/#sthash.qUYJlAMn.dpuf
It complements the LfS Managing complex adaptive systems page, which provides annotated links to a number of key on-line resources in this area. The previous blog post provides an introduction to theories of change, and a set of annotated links to key resources in this area can be found from the LfS web page – Theory of change. The BetterEvaluation Blog also has a very useful and related posting Addressing complexity which discusses the growing topic of how to address complexity in evaluation. - See more at: http://learningforsustainability.net/sparksforchange/complicated-or-complex-knowing-the-difference-is-important-for-the-management-of-adaptive-systems/#sthash.qUYJlAMn.dpuf"

Friday, October 11, 2013

9 inspiring thoughts from Bill Clinton on interconnectedness : TreeHugger

9 inspiring thoughts from Bill Clinton on interconnectedness : TreeHugger

"Our consciousness, particular when under the kind of economic pressure we've been under, is still not where it needs to be to develop the solutions that are most-likely to work. What do I mean by that? If you want a future of shared responsibilities, shared opportunities and shared sense of community, you have to believe certain things. You have to believe that creative cooperation is better than constant conflict. You have to believe that we're all in this together. You have to believe that are differences are interesting, they make life more interesting. They are exciting, but our common humanity matters more. You have to be willing to look at science and let your eyes overcome your ideology."

Monday, September 23, 2013

Otto Scharmer's Blog

Otto Scharmer's Blog

"The symptoms of the current crises can be summarized in terms of three divides that disconnect self from the primary sources of life: ecological, social, and spiritual. The ecological divide manifests in symptoms like environmental destruction. We currently use 1.5 times the regeneration capacity of planet earth.  In other words, we actually use 1.5 planets! The social divide manifests in increasing rates of poverty, inequity, fragmentation and polarization. And the spiritual divide shows up in increased rates of burnout, depression and in an increasing disconnect of GDP from the actual well-being of people."

Friday, August 23, 2013

archipress - Aux origines de l'intelligence collective

archipress - Aux origines de l'intelligence collective

"L'intellectuel collectif a sans doute été thématisé explicitement et pensé avec rigueur pour la première fois entre le Xe et le XIIe siècle, en milieu musulman, par une lignée de théosophes persans et juifs qui se référaient à une interprétation néo-platonicienne d'Aristote. Al-Fârâbî (872-950), Ibn Sina (l'Avicenne des traductions latines, 980-1037), Abû'l-Barakât al-Baghdâdî (mort en 1164) et Maïmonide (1135-1204) comptent parmi les principaux penseurs de cette tradition (1)."

Pierre Levy's Blog | Various thoughts and papers in french and english

Pierre Levy's Blog | Various thoughts and papers in french and english

"We must ask ourselves how we can exploit this medium in order to augment our own social cognitive processes for human development.
Through a combination of a profound knowledge of humanities and social sciences, and an understanding of computer sciences, Pierre Lévy proposes a collaborative construction of a global hyper-cortex, coordinated by a computable metalanguage.
By fully recognizing the symbolic and social nature of human cognition, we could transform our current, opaque, global brain into a reflexive collective intelligence."

Saturday, July 13, 2013

Why the Global Brain needs a Therapist « Utopia or Dystopia

Why the Global Brain needs a Therapist « Utopia or Dystopia

"The idea that the world itself could be considered an overarching form of mind can trace its roots deep into the religious longings of pantheism- the idea that the universe itself is God, or the closest thing we will ever find to our conception of God. In large part, I find pantheists to be a noble group. Any club that might count as its members a philosophical giant like Spinoza, a paradigm shattering genius such as Einstein, or a songbird like Whitman I would be honored to belong to myself. But alas, I have my doubts about pantheism- at least in particular its contemporary manifestation in the form of our telecommunications and computer networks being granted the status of an embryonic “global brain”. I wish it were so, but all the evidence seems to point in the other direction."

Thursday, June 27, 2013

New approach can control large complex networks, from cells to power grids

New approach can control large complex networks, from cells to power grids

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp
A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp
A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp
A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp
A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp
A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp
A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp