Global Nominee

Chatellite received a Global Nomination.


Develop a web tool, mobile device app or add-on for existing apps or websites that leverages NASA imagery and climate data to illustrate the impacts of our changing Earth in areas of interest to you. Some ideas to explore include:

  • Use NASA Earth observations data, social media, smart phones, and Short Message Service (SMS) text phones to collect Earth observations and connect public in local, regional, and national networks to communicate about our changing planet.
  • Examine current natural events curated by NASA’s EONET (Earth Observatory Natural Event Tracker) by browsing global historical and near real-time imagery from space.
  • Upload images or other data points demonstrating visible observations and how they compare to satellite data. For example, generating early-warning alerts or validating precipitation rates reported from NASA’s Global Precipitation Measurement Mission.
  • Integrate NASA imagery with a mobile assistant to allow for dynamic image generation based on a basic request structure.

Our team created a 3D interactive web application that allows users to observe the orbits of the satellites and the 'tweets' of satellites that are assigned different personalities. We tried to assign a personality to each of the satellites using machine learning. The deep learning technique adopted here are essentially similar to what enabled Micorsoft’s chatbot, Tay, to tweet like a teenager. By learning from twitter bots, one of the satellites is assigned a personality similar to Shuzo Matsuoka, a popular tv personality in Japan.

The positions of the satellites and space debris in this app reflect the real-time positions of satellites/debris in space, which are calculated based on data obtained from We hope a lot of people have fun with this app, and would be more than happy if our app made the satellites and our universe more accessible to every one.

Experience our web app by visiting this page.

Resources Used
Made inTokyo Japan
from the minds of
How they did it