QE Data Challenge
April 9 - 16, 2022
We’re excited to announce our 3rd Annual QE Community Data Challenge!
Similar to past iterations, this year’s data challenge will take place over one week (April 9 - 16, 2022). Aiming to continue the momentum of QE community building and collaboration, the data challenge serves as an opportunity for people to interact with others, collaborate on meaningful work, and learn from each other about tools, methods, data, and interpretation in an accelerated time frame.
Eleven teams from around the world (representing 20 different countries and 6 continents) participated in the data challenge in 2021. You can see projects from past data challenges here.
After an initial two years focused on research related to COVID-19, the data challenge will not be restricted to the pandemic theme. This year’s participants will have two choices:
1) Classic: Similar to past data challenges, join a team that mutually determines the data set they wish to analyze (selecting from curated or co-created datasets that are new to all participants).
2) Bring Your Own Data (BYOD): Be part of a team that has brought their own data set and is seeking collaboration to gain insights from fresh analysis and findings.
This is the first time we are inviting participants seeking new perspectives on their existing data set(s) to invite others to collaborate in new analyses. Those wanting to form a BYOD team will have an opportunity to indicate so in the registration process. To start the buzz and stay up to date, sign-up and visit the #qe-datachallenge channel in our QE Slack Workspace.
This event is open to everyone, regardless of experience level.
There will be 90 minute sessions on April 9, 13, and 16 with the groups being divided as follows:
Group 1 (Europe, Africa, and some of the East/Mid Americas):
12 noon in the Eastern US; 6pm in Paris/Berlin/Cape Town, etc.
Group 2 (Asia, Oceania, and the Americas):
8pm in the Eastern US; 9am + 1 day in Tokyo, 10am +1 day in Sydney
Following the data challenge week, teams are welcome to join a post-data challenge community feedback session on Tuesday, April 26 to have a more in-depth discussion on specific research/publication projects.
Registration closes Wednesday, April 6. Please sign-up and join us!