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.

This year our data challenge will start on October 8th and end on October 9th 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 increase awareness about climate change. In fact, we have chosen "Nature's Fury" 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

$3,140 in prizes
Apple AirPod Pros
1 winner

First-Place for Health Sciences Track.

Jabra Wireless Bluetooth Headphones
1 winner

Runner-Up for Health Sciences Track

Amazon Echo
1 winner

First-Place for Business Track

Amazon Fire Stick 4K
1 winner

Runner-Up for Business Track

JBL Flip 5, Waterproof Portable Bluetooth Speaker
1 winner

First-Place for Social Sciences Track

Anker Power Bank Portable Charger
1 winner

Runner-Up for Social Sciences Track

Fujifilm Instax Mini 11 Instant Camera
1 winner

Runner-Up for Popular Culture Track

UVBrite Self-Cleaning Water Bottle
1 winner

First-Place for Natural Sciences Track

Rocketbook Reusable Notebook
1 winner

Runner-Up for Natural Sciences Track

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Martin Styner

Martin Styner

Luis Roman Gerardino

Luis Roman Gerardino

Jack Snoeyink

Jack Snoeyink

Dhyaneswaran Sethumathavan

Dhyaneswaran Sethumathavan

Sammie Haughton

Sammie Haughton

Michael Clawar

Michael Clawar

Vikash Ruhil

Vikash Ruhil

Avinash Madasu

Avinash Madasu

Rachel Heatherly

Rachel Heatherly

Daniela De La Parra

Daniela De La Parra

Danny Kaminsky

Danny Kaminsky

Alex Kan

Alex Kan

Judging Criteria

  • Understanding
    The project demonstrates understanding of the dataset and utilizes the dataset in a relevant way.
  • 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 presentation highlights the impacts of their project regarding the problem they are addressing.
  • Visualization
    The team provides clear, meaningful, and creative visualizations of the data.
  • Communication
    The team's presentation is polished, cohesive, and they clearly answer questions.

Questions? Email the hackathon manager

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