PRESENT

Whether you are sciency or not, this is the (community) science fair for you!

What problem facing our community do you want to help solve? For what issue do you want to raise awareness? Are you imaginative, inquisitive, artistic, or have a hypothesis you are itching to share with the world? Well, then why not find a conclusion and enter to present your findings at Science Strikes Back!

To learn about what it takes to present a project continue reading on this page or to learn about the different categories you can enter (this is more than a science fair) click here.

Scoring

Science Strikes Back community judges use a rubric created by the event organizers to evaluate the projects on collaboration, quality of the presentation and research, originality and voice, and meaningfulness and relevance. Descriptions of each category are described below. Please review how your projects will be judged so you know how best to prepare. Event judges will consist of volunteers from the community.

Numeric rating system

The criteria below will be used to judge competition entries within each challenge area using the numeric rating system. Competitors, keep these criteria in mind as you develop your project.

    • Worked as a Team

    • sought and incorporated unique perspectives and diverse voices

    • Innovative ideas and methods

    • Everyone on the team helped shape the project

    • Team members learned something from the project and process

    • Excitement for the relevance of the project

    • Project has the potential to impact their community

    • Team members learned something from the project and process

    • Excitement for the relevance of the project

    • Project has the potential to impact their community

 
 
Need some ideas? Check out past examples here

DISPLAY TEMPLATES

Downloadable DISPLAY TEMPLATE

A typical display should have the following elements:

  • Title

  • Abstract

  • Question

  • Variables and hypothesis

  • Background research

  • Materials list

  • Experimental procedure

  • Data analysis and discussion including data chart(s) & graph(s)

  • Conclusions (including ideas for future research)

  • Acknowledgments

  • Bibliography