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"Computational thinking is intimately related to computer coding, which every kid in South Fayette starts learning in first grade. But they are not one and the same. At its core, computational thinking means breaking complex challenges into smaller questions that can be solved with a computer's number crunching, data compiling and sorting capabilities. Proponents say it's a problem-solving approach that works in any field, noting that computer modeling, big data and simulations are used in everything from textual analysis to medical research and environmental protection."

"Our students are not the only ones struggling with verifying credibility. Journalists, especially those dealing with the crunch of deadlines and the flood of social media during a crisis, fall prey to hoaxes, phoney tweets and image fakery as well."

"It took just one relentless bout of the flu to remind me of the power of empirical evidence and the importance of shooting data. More than numbers, it was the evidence gleaned from my experiences and the images that I gathered along the way that helped my doctor solve the riddle that was delaying my recovery. My kids thought I was crazy, but I took some photos to save the evidence, and my doctor appreciated this. Gross? Absolutely. Helpful? Definitely! The doctor said that the pictures inspired him to take a different approach in my treatment. "Good data gathering," he joked, and I smiled, recalling one of my greatest pet peeves: educators and parents who rant about their disdain for this very important work. To listen to some, you'd think data are only numbers that shady reformers crunch in order to cash in on imaginary problems created by incompetent teachers. This is a dangerous assumption. The fact is that data are information that matter, and if they don't matter or if the conclusions we reach aren't helping us solve important problems, then we need to change the data we're collecting and the way we approach analysis. After all, isn't it a bit silly to blame data for our own faulty decision making?"

Every year, Time magazine gets swamped with pitches from thousands of companies, all convinced their product deserves to be included in Time's "25 Best Inventions" list. This past December, the magazine reserved its cover for a Pixar-like, 11-inch armless robot named Jibo. Jibo - a so-called "social robot" - is just the latest example of a clear phenomenon: A new generation of exponentially more intelligent and capable robots is on the way. In fact, they're already everywhere we look: over our heads, in our cars and operating rooms, next to us on the assembly lines, in our military, and on the last mile. And the prospect of exponentially more robots, crunching exponentially more data, necessitates not just a lot more computing power but also an entirely new product architecture."

"Mathematicians Hannah Fry and Thomas Oléron Evans have crunched the numbers. Forget utilities - these are the properties you really should be investing in."