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"the Clothesline Paradox" | Conversation with Tim O Reilly | Edge

"the Clothesline Paradox" | Conversation with Tim O Reilly | Edge | Talks | Scoop.it

If we're going to get science policy right, it's really important for us to study the economic benefit of open access and not accept the arguments of incumbents. Existing media companies claim that they need ever stronger and longer copyright protection and new, draconian laws to protect them, and meanwhile, new free ecosystems, like the Web, have actually led to enormous wealth creation and enormous new opportunities for social value. And yes, they did in fact lead in some cases to the destruction of incumbents, but that's the kind of creative destruction that we should celebrate in the economy. We have to accept that, particularly in the area of science, there's an incredible opportunity for open access to enable new business models.

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Why I make robots the size of a grain of rice

Why I make robots the size of a grain of rice | Talks | Scoop.it

By studying the movement and bodies of insects such as ants, Sarah Bergbreiter and her team build incredibly robust, super teeny, mechanical versions of creepy crawlies … and then they add rockets. See their jaw-dropping developments in micro-robotics, and hear about three ways we might use these little helpers in the future.


http://go.ted.com/sLu

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▶ Carlos Gershenson: Requisite Variety, Autopoiesis, and Self-organization

16o. Congreso WOSC 2014. Carlos Gershenson. Universidad de Ibagué, octubre 16 de 2014
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Sibout Nooteboom's curator insight, January 28, 12:23 PM

Nice intro to complexity theory, with its potentially huge implications on how to govern and lead.

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Why and How to Create a Planetary Nervous System for Everyone as a Participatory Citizen Web

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The wonderful and terrifying implications of computers that can learn

The wonderful and terrifying implications of computers that can learn | Talks | Scoop.it

What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. (One deep learning tool, after watching hours of YouTube, taught itself the concept of “cats.”) Get caught up on a field that will change the way the computers around you behave … sooner than you probably think.


http://go.ted.com/gGh

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Why we need to end the War on Drugs

Is the War on Drugs doing more harm than good? In a bold talk, drug policy reformist Ethan Nadelmann makes an impassioned plea to end the "backward, heartless, disastrous" movement to stamp out the drug trade. He gives two big reasons we should focus on intelligent regulation instead.


http://go.ted.com/xgv

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Four Classes of Morphogenetic Collective Systems

Collective Dynamics of Complex Systems Research Group Seminar Series October 22, 2014 Hiroki Sayama (Bioengineering/Systems Science, Binghamton University) "Four…

Via Hiroki Sayama
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The hidden beauty of pollination - Louie Schwartzberg

The hidden beauty of pollination - Louie Schwartzberg | Talks | Scoop.it

Pollination: it's vital to life on Earth but largely unseen by the human eye. Filmmaker Louie Schwartzberg shows us the intricate world of pollen and pollinators with gorgeous high-speed images from his film "Wings of Life," inspired by the vanishing of one of nature's primary pollinators, the honeybee.


http://ed.ted.com/lessons/the-hidden-beauty-of-pollination-louie-schwartzberg

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▶ Creating a Planetary Nervous System as a Citizen Web

This video has been presented at the Ubicomp 2014
Workshop on „The superorganism of massive collective wearables"
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Eli Levine's curator insight, September 19, 2014 9:26 AM

Interesting concept. I wonder if we already have this via the Internet. At any rate, I doubt that we'll be able to get it up and running in time to save anyone or anything. 

 

Nice thoughts. But nice thoughts don't really mean anything here in this universe. 

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▶ Self-organizing Intelligent Network of UAVs - YouTube

This video explains our research on autonomous unmanned aerial vehicles (UAVs). The research team at the Alpen-Adria University and Lakeside Labs developing a multi-UAV system by four key components: 
- the multiple UAV platforms,


http://youtu.be/QX2UPkd6yIc

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Dead stuff: The secret ingredient in our food chain - John C. Moore

Dead stuff: The secret ingredient in our food chain - John C. Moore | Talks | Scoop.it
When you picture the lowest levels of the food chain, you might imagine
herbivores happily munching on lush, living green plants. But this
idyllic image leaves out a huge (and slightly less appetizing) source of
nourishment: dead stuff. John C. Moore details the "brown food chain,"
explaining how such unlikely delicacies as pond scum and animal poop
contribute enormous amounts of energy to our ecosystems.

Via Eric L Berlow
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Eric L Berlow's curator insight, August 31, 2014 12:20 PM

This is the first lesson in our Ecology Series in collaboration with TED Ed . The series focuses on networks in ecology. This one by John Moore explores the wonderful world of detritus. Most of us know that nature 'recycles' dead parts - but this lesson highlights that when you scale this process to the entire ecosystem, dead stuff, and 'brown' food chains, are an unexpectedly huge source of energy that fuels most ecosystems. 

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A Magna Carta for the web

A Magna Carta for the web | Talks | Scoop.it

Sir Tim Berners-Lee invented the World Wide Web 25 years ago. So it’s worth a listen when he warns us: There’s a battle ahead. Eroding net neutrality, filter bubbles and centralizing corporate control all threaten the web’s wide-open spaces. It’s up to users to fight for the right to access and openness. The question is, What kind of Internet do we want?


http://on.ted.com/h0Pgm

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Rescooped by Complexity Digest from Complex Systems and X-Events
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Interview: Prof Geoffrey West on complexity science

CLC interviewed Prof. Geoffrey West, Distinguished Professor and Past President of Sante Fe Institute, at the World Cities Summit 2014 on the study of cities in relation to complexity science....

Via Roger D. Jones, PhD
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Geoff Mulgan: The wicked problems remain wicked: has the craft and science of transforming whole systems moved forward, and how could we do better?

16o. Congreso Wosc 2014. Geoff Mulgan. Universidad de Ibagué. Ibagué, octubre 15 de 2014
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Mason A. Porter: Cascades and Social influence on networks

I discuss "simple" dynamical systems on networks and examine how network structure affects dynamics of processes running on top of networks. I'll give an introduction to the idea of social ("complex") contagions, and I'll present a model for multi-stage complex contagions in which fanatics produce greater influence than mere followers.  I'll also briefly discuss the use of ideas from topics like persistent homology to examine wavefront propagation versus the appearance of new contagion clusters, and I'll present a model (without network structure) for the adoption of applications on Facebook. The last family of models illustrates how very different time-dependent dynamics can produce quantitatively similar long-time behavior, which poses both very serious challenges and exciting opportunities for the modeling of complex systems.

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Complexity Theory: A short film (5')

A short film about complexity theory and the shift in paradigm from the Newtonian clockwork universe to complex systems. Enjoy : ) From http://www.fotonlabs.com

Via Philippe Vallat
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Philippe Vallat's curator insight, January 14, 10:47 AM

Nicely done

Leadership Learning Community's curator insight, January 23, 11:31 AM

Visualizes complex systems and networks in a powerful way, brings clarity and a much deeper understanding to very abstract concepts

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Why Nudge?

Renowned public thinker Cass Sunstein defends his groundbreaking nudge theory. When the state seeks to influence our choices in “our best interests” is this liberty-infringing meddling, or simply good government?
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The state of the climate — and what we might do about it

The state of the climate — and what we might do about it | Talks | Scoop.it
How can we begin to address the global, insidious problem of climate change — a problem that’s too big for any one country to solve? Economist Nicholas Stern lays out a plan, presented to the UN’s Climate Summit in 2014, showing how the world’s countries can work together on climate. It’s a big vision for cooperation, with a payoff that goes far beyond averting disaster. He asks: How can we use this crisis to spur better lives for all?
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▶ Dirk Helbing: Bye bye Homo Economicus

Presented at the "Controversies in Game Theory: Homo Oeconomicus vs. Homo Socialis" Workshop @ ETH Zürich, September 2014 http://www.soms.ethz.ch/Workshop2014

You can find the Q&A here http://youtu.be/o7z57FzCcyk
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António F Fonseca's curator insight, October 22, 2014 5:36 AM

Nice multi-agent experiment showing the emergence of friendliness and the thinking on mode other's, after all a human advantage, neurocientist explain it by mirror neurons. Is the ultimate reason for the existence of Facebook and such.

Bill Aukett's curator insight, October 31, 2014 9:39 PM

The audio quality is a bit rough but the content is worth persevering with

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Towards a Global Systems Science

Dirk Helbing, ETH Zurich


Talk given at the European Conference on Complex Systems 2014 in Lucca, Italy


http://youtu.be/UHp0lV6ppQQ
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What's the next window into our universe?

What's the next window into our universe? | Talks | Scoop.it

Big Data is everywhere — even the skies. In an informative talk, astronomer Andrew Connolly shows how large amounts of data are being collected about our universe, recording it in its ever-changing moods. Just how do scientists capture so many images at scale? It starts with a giant telescope …


http://on.ted.com/c0RGN

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Complex network theory and the brain

Complex network theory and the brain | Talks | Scoop.it

We have known for at least 100 years that a brain is organized as a network of connections between nerve cells. But in the last 10 years there has been a rapid growth in our capacity to quantify the complex topological pattern of brain connectivity, using mathematical tools drawn from graph theory.
Here we bring together articles and reviews from some of the world’s leading experts in contemporary brain network analysis by graph theory. The contributions are focused on three big questions that seem important at this stage in the scientific evolution of the field: How does the topology of a brain network relate to its physical embedding in anatomical space and its biological costs? How does brain network topology constrain brain dynamics and function? And what seem likely to be important future methodological developments in the application of graph theory to analysis of brain networks?
Clearer understanding of the principles of brain network organization is fundamental to understanding many aspects of cognitive function, brain development and clinical brain disorders. We hope this issue provides a forward-looking window on this fast moving field and captures some of the excitement of recent progress in applying the concepts of graph theory to measuring and modeling the complexity of brain networks.


Complex network theory and the brain
Issue compiled and edited by David Papo, Javier M. Buldú, Stefano Boccaletti and Edward T. Bullmore

http://rstb.royalsocietypublishing.org/site/2014/network.xhtml

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Can we prevent the end of the world?

Can we prevent the end of the world? | Talks | Scoop.it

A post-apocalyptic Earth, emptied of humans, seems like the stuff of science fiction TV and movies. But in this short, surprising talk, Lord Martin Rees asks us to think about our real existential risks — natural and human-made threats that could wipe out humanity. As a concerned member of the human race, he asks: What’s the worst thing that could possibly happen?


http://on.ted.com/s04PN

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The World after Big Data: Building the Self-Regulating Society

The World after Big Data: Building the Self-Regulating Society. Dirk Helbing, ETH Zurich.
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