Humanitarian Data Challenge
Optimizing Global Aid Distribution
Join us in exploring critical challenges in global aid distribution. Organized by CMU Data Science Club × Databricks × United Nations.
Challenge Topic
Analyze critical challenges in global aid distribution. We are tackling two core problems sourced directly from UN humanitarian teams: Targeting Validation - building models to benchmark budget-to-beneficiary ratios and flag anomalies in project efficiency; and Geo-Insight Challenge - mapping the "funding gap" by identifying geographic regions where humanitarian needs outweigh current pooled fund coverage. Create innovative analytical tools to improve how humanitarian resources are allocated and audited.
Who Can Participate?
This datathon is exclusively for CMU students. Both graduate students and undergraduate students are eligible. Form teams of up to 4 members.
Prizes and Perks
Plus free food and t-shirts for all participants!
Schedule
Friday, January 23rd (1/23 Fri)
Saturday, January 24th (1/24 Sat)
Sunday, January 25th (1/25 Sun)
Judging Criteria
Exploration
Uncover novel datasets and provide insightful analysis.
Modeling
Develop advanced models to find meaningful data relationships.
Impact
Propose actionable and impactful policies.
Submission Materials
All submissions must be submitted through the form below by 1:00pm on Sunday, January 25th.
Submit Your ProjectCode Submission
Submit your code and analysis through the submission form above.
Video Presentation
Submit your video presentation through the submission form above.
Ready to make a difference with data? Join us for an exciting weekend of humanitarian data science!