Visualize This! visualization competition

Welcome to the challenge!

What is the Visualize This! Challenge?

Now in its third year, Visualize This! is a Canada-wide competition that aims to celebrate the innovative ways visualization can help researchers explore datasets and answer important scientific questions. Visualize This! is your chance to challenge your creativity, experiment with new visualization tools, and contribute to the growth of data visualization in Canada!

This year’s Visualize This! Challenge is hosted by WestGrid, a regional partner of Compute Canada. Together with the Compute Canada Visualization Team, we want to bring your creative visualization ideas and workflows to life and make them accessible to all Canadian researchers!

To participate in the Challenge, please register your interest.


This year the Visualize This! Challenge is comprised of two separate competitions: scientific visualization challenge based on a molecular dynamics simulation dataset, and a humanities visualization challenge based on the Orlando British Women’s Writing Dataset. The two competitions will run independently from each other, with first / second / third prizes in each track, and we expect all participants to choose to compete in one of the tracks.

Both datasets will be available for downloading from October 1 to November 30, 2018. Submissions are due no later than November 30 at midnight (PST).


To be eligible for a prize, you must be registered as a participant. Register here.

These are just a few of the prizes we have up for grabs:

How to Participate

Why is Visualization Important?

Science is producing an unprecedented amount of data on everything from predicting weather and ocean changes to searching for distant galaxies. Visualization tools allow researchers to explore these large datasets interactively without being overwhelmed by the sheer amount of data. Ultimately, visualization enables researchers to answer the important scientific questions facing us today.

More information

Scientific Dataset Details

Humanities Dataset Details

Frequently Asked Questions