Presented by The Center For Global Data Visualization, QED Group is proud to announce CGDV’s newest data challenge. Understanding COVID-19 Across the Globe will be themed around the pandemic’s influence and effect in a number of countries around the world.
There is no doubt that COVID-19 has affected different countries in different ways. You don’t need to be an expert in medicine or international development to understand that several different factors go into the pandemic’s effectiveness and influence including areas like race/ethnicity, poverty, and healthcare.
These factors are different in every country so with this data challenge we hope to visualize and bring attention to the pandemic’s influence across the globe.
To truly show the diversity and variety in the pandemic’s impact, we’ve split our theme of COVID-19’s global impact into two separate topics individuals can pick from that branch into Professional and Student tracks.
You don’t need to be an expert on data analysis, food security, or health care to participate in this challenge. As long as you have a passion for data, data storytelling, and helping the world understand COVID-19, we encourage you to submit your entries.
Additionally, professionals and graduate students with experience in data science, medicine and public health, and global food security issues, that would be interested in judging submissions can register to be considered for judges.
More information will come in phases. Be on the look out for more updates.
More information about the data challenge can be found on CGDV’s challenge page. QED Group and CGDV previously hosted the Pandemic Data Challenge, a highly successful data competition that led to plans for our current challenge.
As of July 16, submissions are now open until October 23. This will be an incredible opportunity to gain valuable experience and exposure to high level and accomplished professionals within the data fields, government, and other sectors.
Submit your entry here.
QED Group looks forward to what powerful insights this data challenge will bring.