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virtual science fair

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EV Virtual ScienceFair

Calling all children of EV Employees! Yikes! We are all home for a few weeks. LET’S DO SCIENCE (& Engineering & Computer Programming)!

Submit a science project.

The EV Machine Learning team and the Women-in-Tech group are co-sponsoring the FIRST EVER EV Virtual Science Fair! Starting April 1, 2020 and going through April 24, 2020, you can submit a science project. Children of all ages, in all locations are welcome. One winner in each age category will be determined. Winning kids will receive a prize! All participants will receive a digital certificate.

Rules:

  • 1 submission per child
  • You must submit your project writeup and materials below before April 24, 2020

Judging criteria:

Entries will be judged on idea, documentation), novelty, thoroughness, and creativity. Please keep documentation to 500 – 1000 words). You can include a YouTube video link (maximum 2-3 minutes) upon submission. Use this template for your documentation: https://github.com/shaystrong/sciencefair/blob/master/Template.md

Kids 13+ years old are encouraged to create public Github repositories and submit the link upon entering their results. The judges are a mixture of Data Scientists, Astronomers, and Software Developers at EV.

Project types:

All types of science is welcome; we encourage an emphasis on engineering, computer science, data science, and coronavirus projects. Why corona virus you ask? – because there is a lot of amazing data. We want to see you ask questions and help us understand why we are all stuck at home.

1 winner per age bracket:

Up to 5 years old

6 – 8 years old

9 – 11 years old

12 – 14 years old

15+ years old

Winners will be announced May 1, 2020 on EV Workplace.

Useful References & Project Ideas:

https://publiclab.org

https://makecode.adafruit.com

https://www.youtube.com/playlist?list=PLSh2l8jOpghZUtpFvmBP8m5mUIYe1fTl6

https://mysteryscience.com/school-closure-planning

https://www.sciencebuddies.org/science-fair-projects/project-ideas/big-data

Data related to COVID-19

https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases

https://www.tableau.com/covid-19-coronavirus-data-resources

https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge?utm_medium=email&utm_source=intercom&utm_campaign=CORD-19-research-chal-email