The 2014 Citizen Scientist Challenge

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Welcome to the Gulf of Maine Research Institute's Citizen Scientist Challenge!

This summer we challenge you to help scientists in Maine figure out how our ecosystems are changing. By going outside and making careful, scientific observations in your local area, you can contribute valuable data and be entered for a chance to win prizes like an iPad mini or Amazon gift card!

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Your mission?

Ecosystems are constantly changing and evolving. Some factors -- from invasives to land use to climate change -- cause this to happen more rapidly. Collect and share your data to help scientists understand how quickly, and why, our ecosystems are changing.

Who can enter?

You! A citizen scientist is anyone that is actively contributing to science, you don’t have to be an expert. This is an invitation for kids and families throughout Maine to get involved and help scientists outside of school.

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How can I enter?

  • Create a Vital Signs user account that ends with _csc2014 (this is how we know you are entering the challenge) If you are under 13, get your parents or another adult to help you
  • Choose a location that you’re curious about
  • Go into the field and collect data
  • Post your observations online for species experts and scientists to review!
  • Go further by observing your location two or more times during the summer


How do I win?

For every species observation you post, your name will be entered to win one of four $50 Amazon gift cards. Your data is really important to scientists. There's no limit to the number of observations you can post. By going one step further and collecting data in the same location at two or more different times this summer, you will be entered to win an iPad mini!


Timeline

logo_leaf_icon.jpgThe Challenge will begin on May 1st.
logo_leaf_icon.jpgAll observations are due on September 1st.
logo_leaf_icon.jpgAll winners will be announced by September 15th.


Resources


logo_icon_0.jpg Species cards logo_icon_0.jpg Data Sheets logo_icon_0.jpg Examples of Best-Of Observations