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Robert Harvey asks: Occasionally I see questions about edge cases on Stack Overflow that are easily answered by the likes of Jon Skeet or Eric Lippert-experts who demonstrate a deep knowledge of a particular language and its many intricacies. Here's an example of this from Lippert's MSDN blog: You might think that in order to use a foreach loop, the collection you are iterating over must implement IEnumerable or IEnumerable. But as it turns out, that is not actually a requirement. What is required is that the type of the collection must have a public method called GetEnumerator, and that must return some type that has a public property getter called Current and a public method MoveNext that returns a bool. If the compiler can determine that all of those requirements are met then the code is generated to use those methods. Only if those requirements are not met do we check to see if the object implements IEnumerable or IEnumerable. This is cool stuff to know. I can understand why Eric knows this; he's on the compiler team, so it's explicitly in his job description to know. But how do mere mortals, those of us on the outside, find out about stuff like this?

"Learning methods have come a long way from students just sitting in class and writing down notes while a lecturer reads off his/her notes. It has come to the point where students can learn from their lecturers via the internet, such as accessing course materials on "Blackboard" websites, and even online classes (heck, there are even online degrees for those interested!), but conducting a class through Minecraft? Well that admittedly takes the cake as far as interactive learning is concerned! This was made possible thanks to a lecturer at the Bond University in Australia who decided to conduct his class through Minecraft as the university was closed due to the recent bout of floods experienced in Australia's east coast. Professor Jeffrey Brand launched the MinecraftUni project after hearing about how the game was used as part of the United Nation's Block by Block program."

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.

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.