Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.

Google Announces Science Fair’s 20 Young Finalists

August 10th, 2015 / in Announcements, Research News / by Helen Wright


Google announced the finalists for its annual international science fair. There are projects from all over the world covering a wide variety of fields, including computer science.  All the projects are by scientists under 18 years old.

The projects will be exhibited and judged at an event on September 21 at the Google Headquarters. You can browse through all 20 finalists at the Google Science Fair website, but here are two that stood out.

Screen Shot 2015-08-10 at 1.36.46 PMALAIR (Assisted Living Autonomous Internet Robot) by Benjamin Lourdes Hylak from Oxford, Pennsylvania. Benjamin, age 17, built an assisted living robot for $1,250 that can preform the duties of an in-home nurse, such as:

  • Healthcare/homecare monitoring
  • Pill dispensing (correct pills on the correct schedule)
  • Fall detection
  • Routine healthcare monitoring
    • Oxygen saturation
    • Hear rate
    • Blood pressure
    • Temperature

The robot has been tested with over 100 elderly residents who live on their own and received an overwhelmingly positive response.

Screen Shot 2015-08-10 at 1.49.51 PMMyGlove: Assisting Hand Movements, Grip, and Tremor by Surabhi Mundada from Olympia, WA. Surabhi, age 15, built a wearable glove that assists hand movements, improves grip, and detects and controls tremors. MyGlove helps people with neurological diseases carry out daily activities by using flex sensors for sensing finger movement, Force-Sensitive Resistors for grip, and accelerometers for detecting tremors.

Program algorithms can be adjusted to different assist strength factors and tremor detection/control parameters based on severity of involuntary hand movement and tremor. So, MyGlove’s functionalities can easily be customized and personalized based on individual’s needs.

See Google’s Science Fair website to view the other 18 Global Finalist. 

Google Announces Science Fair’s 20 Young Finalists

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