Accelerate and create a data science project in less than 24 hours! Use open-source datasets to produce visualizations and use data science and its applications to arrive at meaningful decisions and conclusions about the world. Come out of the event with a fully-fledged data science project to add to your portfolio.

Schedule

  • 10:00 AM: Opening Ceremony & Team Formation

  • 12:00 PM: Mid-point check-in / Lunch

  • 3:45PM: Submission Deadline

  • 3:45PM-4:45PM: Judging

  • 4:45-5:00PM: Winner Announcements!

Requirements

  • Teams may have up to 4 members, all of whom must be currently enrolled at a US college or university.
  • All work must be submitted as a Jupyter Notebook (.ipynb) file via Github/Colab, containing your full analysis, code, visualizations, and written conclusions.
  • Teams must also create a visual presentation (up to 5 minutes) summarizing their project, methodology, and key findings. You can use any format you like (PowerPoint, Canva, Video)!
  • Projects should be organized under one of the following tracks: Biotech, Fintech, or Environmental/Social Impact — but these are suggestions, not requirements. Teams are welcome to explore any topic they find compelling under the Misc. Track.

Track 1: Biotech. Arrive at medically-engaged conclusions about the future of healthcare and biotechnology; bioinformatics.

Track 2: Fintech. Use data science principles to create accurate and precise predictions about the stock market and banking.

Track 3: Environmental/Social Impact. Examine the future of global warming and climate change by predicting climate patterns, optimizing energy consumption, and managing environmental resources; explore how data can be used to solve and confront global issues such as poverty, water/shelter access, and other Sustainable Development Goals.

Track 4: Miscellaneous/Open Track

Hackathon Sponsors

Prizes

4 non-cash prizes
1st Place Overall
1 winner

The project with the best score!

Best Project - Biotech Track
1 winner

The project that arrived at the most meaningful medically-engaged conclusions.

Best Project - Fintech Track
1 winner

The project that made the best predictions about the stock market and banking, and/or made meaningful conclusions about the financial world.

Best Project - Social Impact Track
1 winner

The project that had the most impactful conclusion about how the world needs to change/ the direction the world is heading in.

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Harry Bendekgey

Harry Bendekgey
Assistant Teaching Professor

James Skripchuk

James Skripchuk
Assistant Teaching Professor

Josep Ruiz

Josep Ruiz
Part-Time Lecturer / AI @ Nasdaq

Judging Criteria

  • Technical Complexity
    Did they just make a bar chart, or did they use a machine learning pipeline?
  • Data Integrity
    How did they handle missing values or outliers? Where does the data come from? Is the data trustworthy/legitimate?
  • Storytelling
    Is the 5-minute video clear, and are the visualizations intuitive? Could someone who does not understand the inner workings understand the conclusion?
  • Innovation
    Is the "meaningful decision" they arrived at original or impactful?

Questions? Email the hackathon manager

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