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Knowledge does not arise from the simple accumulation of facts. Rather, it is a complex, dynamic system, and its emergent outcomes - including scientific consensus - are unpredictable.

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They say a picture is worth a thousand words. But if your camera is good enough, the photos it takes could also be worth billions of data points. As digital cameras grew increasingly popular over the last two decades, they also became exponentially more powerful in terms of their image resolution. The highest-end cameras today can claim 50 gigapixel resolution, meaning they are capable of taking images made up of 50 billion pixels. Many of these incredible cameras are so advanced that they have out-paced the resolution of the displays used to view their images – and the ability of humans to find meaningful information within their borders.

Closing this gap was the focus of Amitabh Varshney's talk for the Research Computing Center's Show and Tell: Visualizing the Life of the Mind series in late February. Varshney, a professor of computer science at the University of Maryland-College Park, discussed the visual component of today's big data challenges and the solutions that scientists are developing to help extract maximum value out of the new wave of ultra-detailed images -- a kind of next-level Where's Waldo? search. The methods he discussed combine some classic psychology about how vision and attention works in humans with advanced computational techniques.