
Elizabeth Zhao, a Google Science Fair finalist from Portland, Oregon came up with a new way to diagnose melanoma using computers to analyze a processed image.
Girls made up more than half of the finalists at Google’s Science Fair, the largest in the world.
From turning banana peels into plastic to diagnosing skin cancer, here were a few of our favorite projects.
The Google Science Fair, now in its third year, is the biggest science fair in the world–simply by virtue of the fact that most of the competition takes place online. So it makes sense that the fair, open to kids between 13 and 18, also has some of the most diverse contestants of any science fair. The grand prize winner, Eric Chen, won for an impressive project that models new anti-flu drugs. But many of the best projects put forth by the 15 finalists came from girls, who made up over half of all the finalists (The nearly equal gender ratio among finalists was not intentional, says Mary Lou Jepsen, a judge in the competition and head of the display division at Google X Lab.)
I took a trip to Google HQ earlier this week to hear from the finalists. These are some of our favorites.
PRODUCING BIOPLASTIC FROM BANANA PEELS
Elif Bilgin, the 16 year-old Turkish winner of both the Voter’s Choice Award and the Scientific American Science in Action prize, won for her method of producing plastic from banana peels. Bilgin says that she was inspired to create biodegradable, fossil fuel-free plastic from seeing all the plastic trash floating in the Bosphorous strait, located in her hometown of Istanbul. When she discovered that other researchers were working on plastic made from potato starch, Bilgin decided to go a different route. “I wanted to use a waste material instead of something we consume,” she says.
So she went with banana peels, which are 30% starch. “In Turkey, we eat a lot of fruit,” she says. Bilgin’s bioplastic production recipe: dipping a banana peel in a special solution to prevent decay, boiling and pureeing it, adding a chemical to break down the starch, pouring thestarch into a mold, and baking it. Universities in Turkey have already offered to help Bilgin continue her research. In the future, she hopes to study engineering.
DIAGNOSING MELANOMA, NO HUMAN HELP NECESSARY
Elizabeth Zhao, a finalist from Portland, Oregon came up with a new way to diagnose melanoma using computers to analyze a processed image (a company called Mela Sciences has developed something similar that is now being used in doctor’s offices). Zhao’s inspiration came two years ago, when a friend’s mother passed away from melanoma. When she discovered how easy it is to cure melanoma that’s found early–you just slice it off–she set out to find a better way to diagnose the disease than the traditional method of visually surveying the skin.
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