Though it may be true that we are moving toward a society where computer science knowledge will be as integrated as math and English in the primary school system, coding literacy is even more important for university undergraduates as they prepare for the competitive, technologically advanced, and evolving job market. It’s difficult for students to make sense of the hype around computer science, programming, and ‘hacking.’ Long-standing barriers between technical and non-technical folks create misunderstandings that conceal the true breadth of technology and its essential applications across all academic fields. University students should be encouraged to harness the potential of programming to expand opportunities in their fields. Even beyond practical usage, coding provides an alternate way of thinking. Employing logic through the mind of a computer forces rationality, brevity, and accuracy. Strong leaders harness interdisciplinary critical thinking by considering problems from within different mindsets (creative, mathematical, emotional, etectera) to form an optimized solution.
Via Susan Einhorn
Commerce knits the modern world together in a way that nothing else quite does. Almost anything you own these days is the result of a complicated web of global interactions. And there's no better way to depict those interactions than some maps.
Via Luca Baptista
In 12 exercises deploying only body weight, a chair and a wall, it fulfills the latest mandates for high-intensity effort, which essentially combines a long run and a visit to the weight room into about seven minutes of steady discomfort — all of it based on science.
Via Luca Baptista
Alan Turing, the British mathematician (1912-1954), is famous for a number of breakthroughs, which altered the course of the 20th century. In 1936 he published a paper, which laid the foundation of computer science, providing the first formal concept of a computer algorithm. He next played a pivotal role in the Second World War, designing the machines which cracked the German military codes, enabling the Allies to defeat the Nazis in several crucial battles. And in the late 1940's he turned his attention to artificial intelligence and proposed a challenge, now called the Turing test, which is still important to the field today. His contribution to mathematical biology is less famous, but was no less profound. He published just one paper (1952), but it triggered a whole new field of mathematical enquiry into pattern formation. He discovered that a system with just 2 molecules could, at least in theory, create spotty or stripy patterns if they diffused and chemically interacted in just the right way. His mathematical equations showed that starting from uniform condition (ie. a homogeneous distribution – no pattern) they could spontaneously self-organise their concentrations into a repetitive spatial pattern. This theory has come to be accepted as an explanation of fairly simple patterns such as zebra stripes and even the ridges on sand dunes, but in embryology it has been resisted for decades as an explanation of how structures such as fingers are formed. Now a group of researchers from the Multicellular Systems Biology lab at the CRG, led by ICREA Research Professor James Sharpe, has provided the long sought-for data which confirms that the fingers and toes are patterned by a Turing mechanism. "It complements their recent paper (Science 338:1476, 2012), which provided evidence that Hox genes and FGF signaling modulated a hypothetical Turing system. However, at that point the Turing molecules themselves were still not identified, and so this remained as the critical unsolved piece of the puzzle. The new study completes the picture, by revealing which signaling molecules act as the Turing system" says James Sharpe, co-author of the study.
Via Claudia Mihai
Preso.tv is the first and only hassle-free way for anyone to present their Powerpoint, PDF, and Word documents on smart devices and computers anywhere in the world, in real-time.
Currently in beta, Preso.tv is a free service that doesn’t require account registration. Users simply go to http://preso.tv, upload their file, and start the broadcast. Presenters can use an Android device or a PC or Mac, while viewers may use any brand of smart device or computer.
Almost universally, wealth is not distributed uniformly within societies or economies. Even though wealth data have been collected in various forms for centuries, the origins for the observed wealth-disparity and social inequality are not yet fully understood. Especially the impact and connections of human behavior on wealth could so far not be inferred from data. Here we study wealth data from the virtual economy of the massive multiplayer online game (MMOG) Pardus. This data not only contains every player's wealth at every point in time, but also all actions of every player over a timespan of almost a decade. We find that wealth distributions in the virtual world are very similar to those in western countries. In particular we find an approximate exponential for low wealth and a power-law tail. The Gini index is found to be 0.65, which is close to the indices of many Western countries. We find that wealth-increase rates depend on the time when players entered the game. Players that entered the game early on tend to have remarkably higher wealth-increase rates than those who joined later. Studying the players' positions within their social networks, we find that the local position in the trade network is most relevant for wealth. Wealthy people have high in- and out-degree in the trade network, relatively low nearest-neighbor degree and a low clustering coefficient. Wealthy players have many mutual friendships and are socially well respected by others, but spend more time on business than on socializing. We find that players that are not organized within social groups with at least three members are significantly poorer on average. We observe that high `political' status and high wealth go hand in hand. Wealthy players have few personal enemies, but show animosity towards players that behave as public enemies.
Via Bernard Ryefield
Last fall, Caltech and The Feynman Lectures Website joined forces to create an online edition of The Feynman Lectures on Physics. They started with Volume 1. And now they've followed up with Volume 2 and Volume 3, making the collection complete.
Via Luca Baptista
“Office Mix: Intro, by Office Mix, Welcome to Office Mix! This is the first in a series of How-To videos designed to walk you through creating your very first Mix. In this video you will learn where to download the PowerPoint Add-In and how to get started. Happy Mixing!”
Via Baiba Svenca
“Our long-awaited app is in the final stages of beta testing, and the release date is approaching quickly. The Glogster team is hard at work ensuring that all our great new features are available to...”
Via Baiba Svenca
The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it. Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer? How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God. Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.
Today is March 14th, or 3/14. And that makes it Pi Day -- the day where math nerds across the country gather to eat pie and discuss the importance of numbers. But did you know it's also Albert Einstein's birthday?
Via Luca Baptista