Visualizing Historical Data, And The Rise Of “Digital Humanities”

David Zax

All historians encounter them, at some point in their careers: Vast troves of data that are undeniably useful to history–but too complex to make narratively interesting. For Stanford’s Richard White, an American historian, these were railroad freight tables. The reams of paper held a story about America, he knew. It just seemed impossible to tell it.
Impossible to tell in a traditional way, that is. White is the director of the Stanford University Spatial History Project, an interdisciplinary lab at the university that produces “creative visual analysis to further research in the field of history.” (The images in this post are taken from the project’s many visualizations.) Recent announcements on the project site announce “source data now available” (openness is one of the project’s tenets) on such topics as “Mapping Rio,” “Land Speculation in Fresno County: 1860-1891,” and “When the Loss of a Finger is Considered a ‘Minor’ Injury.”

Invasion of the body hackers

April Dembosky:

Michael Galpert rolls over in bed in his New York apartment, the alarm clock still chiming. The 28-year-old internet entrepreneur slips off the headband that’s been recording his brainwaves all night and studies the bar graph of his deep sleep, light sleep and REM. He strides to the bathroom and steps on his digital scale, the one that shoots his weight and body mass to an online data file. Before he eats his scrambled egg whites with spinach, he takes a picture of his plate with his mobile phone, which then logs the calories. He sets his mileage tracker before he hops on his bike and rides to the office, where a different set of data spreadsheets awaits.
“Running a start-up, I’m always looking at numbers, always tracking how business is going,” he says. Page views, clicks and downloads, he tallies it all. “That’s under-the-hood information that you can only garner from analysing different data points. So I started doing that with myself.”
His weight, exercise habits, caloric intake, sleep patterns – they’re all quantified and graphed like a quarterly revenue statement. And just as a business trims costs when profits dip, Galpert makes decisions about his day based on his personal analytics: too many calories coming from carbs? Say no to rice and bread at lunchtime. Not enough REM sleep? Reschedule that important business meeting for tomorrow.
The founder of his own online company, Galpert is one of a growing number of “self-quantifiers”. Moving in the technology circles of New York and Silicon Valley, engineers and entrepreneurs have begun applying a tenet of the computer business to their personal health: “One cannot change or control that which one cannot measure.”