Jan 17, 2024 — The Learning Agency Lab is hosting a competition focused on developing automated techniques for detecting and removing personally identifiable information (PII) from educational data, specifically in student writing. The primary goal is to create models that can effectively identify and eliminate PII, ultimately reducing the cost of releasing educational datasets. Successful automation in this area would benefit learning science research and facilitate the development of educational tools by enabling access to large public educational datasets. The competition aims to support researchers and industry professionals in leveraging the potential of such datasets for the creation of effective tools and interventions to support teachers and students.
Click to Join Competition
Timeline:
- January 17, 2024: Start Date.
- April 16, 2024: Entry Deadline. Participants must accept the competition rules before this date to compete.
- April 16, 2024: Team Merger Deadline. Last day for participants to join or merge teams.
- April 23, 2024: Final Submission Deadline.
Prizes:
Leaderboard Prizes
- 1st Place: $13,000
- 2nd Place: $10,000
- 3rd Place: $5,000
Efficiency Prizes
- 1st Place: $15,000
- 2nd Place: $12,000
- 3rd Place: $5,000
All deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted. The competition organizers reserve the right to update the contest timeline if they deem it necessary.
