The Carolina Data Challenge (CDC) is an annual data science event held at the University of North Carolina at Chapel Hill. Each year, we have the great privilege of welcoming hundreds of curious students from around the globe to our event.

The event will kick off on September 25th with our inaugural data science conference followed by our data challenge. This year our data challenge will start on September 26th and end on October 2nd to give participants the opportunity to create unique projects they would be proud to add to their portfolio.

Our main objective this year is to welcome all students of different backgrounds to increase their awareness and understanding of data science. In fact, this is so important to us that we have chosen "Perspectives" as this year’s data challenge theme. We hope to achieve our goal of inclusivity by ensuring that beginners and experts alike have a fun and informative experience at CDC.

Hackathon Sponsors

Prizes

$635 in prizes
Health and Sciences 1st Place
1 winner

Amazon Echo

Health and Sciences Runner up
1 winner

Jabra Elite Active Wireless Earbuds

Finance 1st Place
1 winner

Razer Huntsman Mini 60% Keyboard

Social Sciences 1st Place
1 winner

JBL FLIP 4 Waterproof Bluetooth Speaker

Social Sciences Runner up
1 winner

HUION Inspiroy H1060P Graphics Drawing Tablet

Media 1st Place
1 winner

Apple TV HD

Media Runner Up
1 winner

Rocketbook Fusion Smart Notebook

CS+SG - Best Social Hack
1 winner

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

CDC Judge

CDC Judge

Judging Criteria

  • Understanding
    The team demonstrates a thorough understanding of the dataset, especially in regards to its contributions to their specific track
  • Relevance
    The insights and recommendations are relevant to the people and organizations involved in the dataset.
  • Technique
    Techniques used to produce the insight are scientifically and statistically sound; they demonstrate a high level of ability in the chosen environment.
  • Impact
    The insights are potentially impactful to the given field.
  • Novelty
    The insight is novel and provides clear contributions to existing knowledge on the dataset.
  • Communication
    The team's presentation is polished and relates to this year's theme "Perspectives" It explains the insight in terms comprehensible to data laypeople.

Questions? Email the hackathon manager

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