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"As we get more data, we can fit more model. But at some point we become so overwhelmed by data that, for computational reasons, we can barely do anything at all. Thus, the curve above could be thought of as the product of two curves: a steadily increasing curve showing the statistical ability to fit more complex models with more data, and a steadily decreasing curve showing the computational feasibility of doing so."

While the brightest minds of Silicon Valley are "disrupting" whatever industry is too crippled to fend off their advances, something odd is happening to our language. Old, trusted words no longer mean what they used to mean; often, they don't mean anything at all. Our language, much like everything these days, has been hacked. Fuzzy, contentious, and complex ideas have been stripped of their subversive connotations and replaced by cleaner, shinier, and emptier alternatives; long-running debates about politics, rights, and freedoms have been recast in the seemingly natural language of economics, innovation, and efficiency. Complexity, as it turns out, is not particularly viral.

Synthesis is a think-tank devoted to using the emerging paradigm of complex networks in the social sciences to tackle social and public policy concerns. Over the past 20 years or so, social scientists have increasingly made use of advances in the natural sciences to make better sense of social systems. Fields such as network theory, non-linear mathematics and systems theory, which we refer to as the study of complex networks, give us much greater insights that help us make sense of social systems. Armed with a greater understanding, this collection of paradigm-changing toolboxes can help us to make better policy decisions, in the public, private, and "third" sectors.

Note: this would make a good blog post Minimalist posters explain complex philosophical concepts with basic shapes When it comes to explaining philosophy, sometimes less is more - and we think this arresting collection of minimalist posters encompasses that idea perfectly. The illustrations you see featured below are from a a series entitled "Philographics," and were created by London-based graphic designer Genís Carreras. Using basic colors, simple geometric design, and concise definitions, Carreras manages to cram impressive amounts of information - on philosophical doctrines as diverse as hedonism, determinism, and existentialism - into a surprisingly simple and accessible package. We've included a sample of the collection below, but you'll find the series in its entirety, along with plenty more examples of Carreras' work, over on his website. The posters are also available for purchase via society6.

Complexity scientists have made great strides in understanding the behaviour of single networks. Now they want to know what happens when networks become connected to each other

"A Swiss study appears to have uncovered what anti-capitalist activists have been claiming for years -- that the global economy is controlled by a small group of deeply interconnected entities. But don't grab a pitchfork and head to the nearest Occupy protest just yet. Systems researchers say this isn't the result of an Illuminati-type global conspiracy, but rather a natural force to be expected. "Such structures are common in nature," complex systems expert George Sudihara told NewScientist."

"A brain-to-brain interface (BTBI) enabled a real-time transfer of behaviorally meaningful sensorimotor information between the brains of two rats. In this BTBI, an "encoder" rat performed sensorimotor tasks that required it to select from two choices of tactile or visual stimuli. While the encoder rat performed the task, samples of its cortical activity were transmitted to matching cortical areas of a "decoder" rat using intracortical microstimulation (ICMS). The decoder rat learned to make similar behavioral selections, guided solely by the information provided by the encoder rat's brain. These results demonstrated that a complex system was formed by coupling the animals' brains, suggesting that BTBIs can enable dyads or networks of animal's brains to exchange, process, and store information and, hence, serve as the basis for studies of novel types of social interaction and for biological computing devices."

This is a guest post by David Hales, a fellow associate of the new complexity think-tank, Synthesis. David specialises in computational social science and here he provides a thought-provoking response to the rise in big data, and some of the more outlandish claims made about it. For a good example of the latter, see Chris Anderson's piece 'The Data Deluge Makes the Scientific Method Obsolete'. He makes some really relevant points for development big data initiatives.

"This system of burners, pipes, flasks and gauges looks like it came straight out of a laboratory. In fact, though, it's a prototype coffee machine-and it could satisfy the technical desires of even the biggest coffee nerd. The Laboratory Espresso Machine was dreamt up by israeli designers David Budzik and Adi Schlesinger. Its design aesthetic is clearly inspired by the contents of a chemistry lab, but it also uses science in the coffee-making process, too: it uses the Venturi effect to adjust pressures and relies on a bunch of complex thermodynamics to ensure water temperature and pressure are consistent."

ou like to ask Wikipedia tougher questions than today's simple keyword searches allow? A prototype plug-in that can do just that will be demonstrated at the World Wide Web conference in Lyon, France, next month. Called Swipe - loosely short for "searching Wikipedia by example" - the software aims to let users of the online encyclopedia answer complex questions that most search engines would stumble over. For example, trying to figure out "which actresses won academy awards when they were under 30 years old in the last 25 years?" becomes relatively simple when using the program.

In our most recent Scientific Reports paper, we show how the visual pattern recognition ability of humans combined with the high processing speed of computers leads to a visual analytics method for discovering groups of nodes characterized by common network properties.

The Being Human Conference, which took place at San Francisco's Palace of Fine Arts this weekend, was designed to explore the science of human experience. The speakers ranged from neuroscientists, philosophers and psychologists, to monks, poets and filmmakers - and together their collective ideas and insights shined a light on the complexities of what it means to be human in 2012.  

A report in the New Journal of Physics shows how the quest for an invisibility cloak is leading to cleverer ways to use and manipulate light. The trick could aid the analysis of complex samples or even communications.

Professor Lee Cronin is a likably impatient presence, a one-man catalyst. "I just want to get stuff done fast," he says. And: "I am a control freak in rehab." Cronin, 39, is the leader of a world-class team of 45 researchers at Glasgow University, primarily making complex molecules. But that is not the extent of his ambition. A couple of years ago, at a TED conference, he described one goal as the creation of "inorganic life", and went on to detail his efforts to generate "evolutionary algorithms" in inert matter. He still hopes to "create life" in the next year or two.

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