The AI Equity Data Challenge

A panel of expert judges will score your submissions based on the criteria below.

ORIGINALITY & CREATIVITY - 25%

• Does the submission demonstrate a fresh, creative take on the challenge theme? 
• Does it push creative boundaries within the challenge constraints?  
• (for Phase 2 and Final Pitch) Is the idea original or does it significantly improve upon existing solutions?   
• (for Phase 2 and Final Pitch) Is the concept ambitious, novel, or unique?  

TECHNICAL EXECUTION - 25%

• Does the submission reveal meaningful patterns or trends, highlight unexpected findings, or raise new questions worth exploring?
• Are the data sources credible and relevant, with assumptions clearly stated and the methodology transparent and sound?  
• (for Phase 2 and Final Pitch) Is the solution technically sound, functional, and clearly communicated? 
• (for Phase 2 and Final Pitch) Does the technical solution align well with the challenge theme?  

IMPACT & FEASIBILITY - 25%

• Does the analysis align with the challenge goals while demonstrating subject-matter expertise, awareness of equity considerations, and understanding of real-world impacts?
• (for Phase 2 and Final Pitch) Is the solution meaningful and realistically implementable?  
  
• (for Phase 2 and Final Pitch) Does the team present a viable path for implementation or growth?  
• (for Phase 2 and Final Pitch) Could this realistically be developed further beyond the scope of the challenge? 

PRESENTATION & COMMUNICATION - 15%

• Are the findings clearly presented, with well-designed visuals, a compelling data story, and content that is easy to understand for non-expert audiences?
• How well does the team communicate their idea and its value?  
• (for Final Pitch) Did all members of the team participate in the presentation? 
• (for Final Pitch) Is the pitch engaging, well-structured, and accessible to a non-technical audience?  
• (for Final Pitch) Do the presentation materials enhance the clarity of the project?  

TEAM COMPOSITION & COLLABORATION - 10%

• Does the team bring together a diverse range of skills and perspectives?  
• Does the team represent diverse backgrounds or disciplines?  
• Do team members contribute complementary skills (e.g., design, development, research, marketing)?  
• Is there evidence of effective teamwork and collaboration?