4th Annual QE Community Data Challenge
Welcome to the 4th Annual Quantitative Ethnography (QE) Community Data Challenge! The Challenge will take place from May 15 - May 19, 2023.  

More information at: https://www.qesoc.org/qe-data-challenge/
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Email *
First Name *
Last Name *
Affiliation *
Title/Position *
City *
Country *
Please choose the preferred timezones (UTC offset as per https://timezonedb.com/time-zones) in which you are available to work on the challenge (e.g., meet with the group or the mentor) *
Required
Please state your research areas of interest *
Team Options
This year's data challenge has two options:

[[ 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)

[[ 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.  
Are you interested in: *
If you selected "Creating a BYOD team," please describe the dataset you would like use, and the skills you are looking for (if any):
QE Analytical Skills
In the next section, we will ask you to assess your proficiency in relation to QE analytical skills, so that it is easier for us to match you with a relevant team.

No experience - You have no experience in the technique/concept, but willingness to learn.

Novice - You have some experience in the technique/concept.

Intermediate - You have previously worked with the technique/concept. You are able to successfully complete tasks in this competency as requested. Help may be required from time to time, but you can usually perform the skill independently.

Advanced  - You can perform the actions associated with this skill without assistance. You are able to independently find the answers to difficult questions that arise regarding this skill.

Know that many past successful participants have and limited or no experience in these areas, so we welcome all skill levels to participate!

What is your experience with the following topics? *
No experience
Novice
Intermediate
Advanced
Scraping webpages or other data
Qualitative analysis
Creating, automating and validating qualitative codes
Statistical modeling
Machine learning
Natural language processing
Epistemic Network Analysis
Social Network Analysis
Visualizations
Write-up and presentation
Other QE or Analytical Skills/Research Experience
Do you have any preferences on who you would like to be matched with in a team? We will try our best to accommodate your request, but we can't guarantee it.
For more information about the QE Data Challenge, visit the ISQE website: https://www.qesoc.org/qe-data-challenge/
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