Independent judges from industry partners and academic institutions will evaluate both phases of the competition. Overall performance and ranking of the teams will be calculated based on the following formula:

Phase One – Poster Evaluations – 50%

  • Visualization (25%) – Creative and effective use of visual analytics to provide relevant and attractive charts and/or graphs that depict the datasets. Factors contributing to visualization scores include:
    • poster layout
    • legibility and writing
    • effective visuals
    • effective data use
    • overall impression
  • Content (25%) – Correct and innovative use of data with appropriate structure. Factors contributing to content scores include:
    • background
    • reference quality
    • methodology
    • conclusion
    • discussion from Poster Showcase

Due to the volume of submissions, Phase One posters will undergo preliminary evaluations prior to the event to identify the top 20 submissions based on most of the visualization and content categories. The final categories will be assessed during the Poster Showcase.

Phase Two – Datathon Presentation Evaluations – 50%

  • Storytelling (30%) – Capability to tell a compelling and engaging story that is logical and critical. Contributing factors include:
    • originality
    • organization
    • presentation quality
    • knowledgeability
    • media quality
    • overall presentation
  • Design Thinking (20%) – Articulation of the needs and experiences of the stakeholders and provision of applicable and practical solutions. Judges will evaluate factors including:
    • problem definition
    • methodology
    • analysis
    • recommendations

Competition winners are determined by combining Phase 1 and Phase 2 scores.