The Challenge

This year’s Data Science Bowl, presented by Booz Allen Hamilton and Kaggle, focuses on identifying factors to help measure how young children learn from media and which approaches work best to help them build on those foundational skills. Using anonymous gameplay data from the PBS KIDS Measure Up! app, developed as a part of the CPB-PBS Ready To Learn Initiative with funding from the U.S. Department of Education, participants will create an algorithm that will lead to better designed games and greater learning outcomes, benefiting all in the children’s learning ecosystem.

Why focus on early childhood education?

Studies show that much of the most critical brain development in children takes place before they even reach kindergarten. Child development experts indicate it is during these first five years that children develop linguistic, cognitive, social, emotional, and regulatory skills that predict their later functioning in many domains, which is why access to high-quality, effective early learning resources is critical. Research demonstrates that supporting education at an early age is also key for long-term success, and efficacy research from the CPB-PBS Ready To Learn Initiative finds that high-quality educational media moves the needle on children’s learning.

What is the prize?

We’ll award $160,000 in cash to the top placing teams, as follows:

Where does the data for the competition come from?

The data used in this competition is anonymous, tabular data of interactions with the PBS KIDS Measure Up! app. Select data, such as a user’s in-app assessment score or their path through the game, is collected by the PBS KIDS Measure Up! app, a game-based learning tool.

PBS KIDS does not collect any personally identifying information, such as name or location. PBS KIDS is committed to creating a safe and secure environment that family members of all ages can enjoy. Any information that PBS KIDS collects is used to improve content. This allows for gaming experiences to meet kids where they are and support their learning. To view the full PBS KIDS privacy policy, please visit: pbskids.org/privacy/.

No one will be able to download the entire data set and the participants do not have access to any personally identifiable information about individual users. Winning solutions from the Data Science Bowl will be open sourced, enabling access for everyone to leverage learnings to improve early childhood education outcomes through media. The Data Science Bowl and the use of data for this year’s competition has been reviewed to ensure that it meets requirements of applicable child privacy regulations by PRIVO.

What is the PBS KIDS Measure Up! app?

In the PBS KIDS Measure Up! app, children ages 3 to 5 learn early STEM concepts focused on length, width, capacity, and weight while going on an adventure through Treetop City, Magma Peak, and Crystal Caves. Joined by their favorite PBS KIDS characters from Dinosaur Train, Peg + Cat, and Sid the Science Kid, children can also collect rewards and unlock digital toys as they play.

PBS KIDS Measure Up! was developed as part of the CPB-PBS Ready To Learn Initiative, with funding from the U.S. Department of Education. To learn more about PBS KIDS Measure Up!, please click here.

Presented By:

Data Partner:

PBS Kids

PBS KIDS and the PBS KIDS Logo are registered trademarks of PBS. Used with permission.
The contents of PBS KIDS Measure Up! were developed under a grant from the Department of Education. However, those contents do not necessarily represent the policy of the Department of Education, and you should not assume endorsement by the Federal Government. The project is funded by a Ready To Learn grant (PR/AWARD No. U295A150003, CFDA No. 84.295A) provided by the Department of Education to the Corporation for Public Broadcasting.

Ideas

Submit Your Ideas

Got a big idea for us?
Ready to re-invent the future?
See potential ahead?

In our first contest, we dove deep with a microscopic lens to improve ocean health. In our last, we went on a life-saving mission to spot nuclei to diagnose killer diseases. In each case, we did what couldn’t be done before: bring the awesome creativity and capability of data scientists to open the doors to new approaches.

What should we tackle next? If you have ideas, let us hear from you!

We’re in the hunt for the next big problem to solve—a problem with the potential to change the world. If selected, the power of the entire data science community will be harnessed against it.

Contact us to submit your ideas or email DataScienceBowl@bah.com. Include an overview of the problem, your contact information, a brief description of the data, and where it can be obtained.

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