Annie Easley on the cover of NASA’s Science and Engineering Newsletter, circa 1960s. Easley’s career at NASA spanned 34 years, where she developed computer programs related to alternative energy solutions, including wind and solar power, energy conversion, and vehicular batteries.
A multi-institutional team of new-media artists, computer experts, and museum professionals have discovered a dozen previously unknown experiments by Andy Warhol (BFA, 1949) on aging floppy disks from 1985.
It’s kinda funny to be presented with the news of new works by established artist from a digital medium, but then again it is well known that Warhol loved working with the Commodore Amiga - some links below:
Linguists and psychologists have long been studying this phenomenon. A few decades ago they had a hunch that the number of active verbs in your sentences or which adjectives you use (lovely, sweet, angry) reflect personality traits.
They have painstakingly pinpointed various insights. For example, suicidal poets, in their published works, use more first-person singular words (like “me” or “my”) and death-related words than poets who aren’t suicidal. People in positions of power are more likely to make statements that involve others (“we,” “us”), while lower-status people often use language that’s more self-focused and ask more questions. Comparing genders, women tend to use more words related to psychological and social processes, while men referred more to impersonal topics and objects’ properties.
(This 2010 paper in the Journal of Language and Social Psychology goes into great detail about the “psychometrics” of words.)
This research suggests that Internet companies such as Facebook and Google, with their troves of written expressions, are sitting on powerful insights about us as people. But if you ask them, “Hey, can you give me the take on me that you’ve got in-house or that you’ve built for advertisers, with my anonymized data?” — they won’t give it to you. I actually did ask, and they don’t have that kind of offering.
But I’ve found someone who does: IBM’s Watson division. Researchers there have taken the personality dictionaries already created by scientists, dropped them into Watson (the computer that won Jeopardy!), and sent it off to apply it to people on Twitter, Facebook, blogs. That forms a digital population of people and personality types. Over time, more text from more people will help Watson get smarter. (Yes, this is machine learning.)
Distribution of dark matter in the universe, as simulated with a novel, high-resolution algorithm at the Kavli Institute of Particle Astrophysics & Cosmology (KIPAC) at Stanford University and SLAC National Accelerator Laboratory. (Via Space.com)