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A scientist and programmer with a literary bent, Valeria Pettorino thinks multiple angles and diverse points of view are needed to unriddle the nature of dark matter and dark energy.
The statistician Donald Richards lives to uncover subtle patterns hiding in real-world data.
To efficiently analyze a firehose of data, scientists first have to break big numbers into bits.
The computational immunologist Purvesh Khatri embraces messy data as a way to capture the messiness of disease. As a result, he’s making elusive genomic discoveries.
To assess the ocean’s health, ecology’s “rugged individualists” learned to get with the big data program.
The same problem that caused the 2007 financial crisis also tripped up the polling data ahead of this year’s presidential election.
The nature of computing has changed dramatically over the last decade, and more innovation is needed to weather the gathering data storm.
New technologies have launched the life sciences into the age of big data. Biologists must now make sense of their windfall.
As science dives headlong into an ocean of data, the demands of large-scale interdisciplinary collaborations are growing increasingly acute.