Datathon is a competition focused on using data science techniques to solve a real-world issue in any discipline. Similar to hackathons, participants are responsible for creating a product that can solve practical problems. Final products include, but are not limited to, machine learning models, insights from statistical analysis, and business solutions based on predictive models. The competition will take place on a weekend in mid-October 2021 and is open for any UW-Madison students.

Requirements

All source code (GitHub link)

Presentation file (.pptx/.pdf)

Short description of project & how it impacts society (.txt/.pdf)

Hackathon Sponsors

Prizes

$2,000 in prizes

Winners

Each member of the team will get $200 in a gift card of their choice.

1st Runner Up

Each member of the team will get $100 in a gift card of their choice.

2nd Runner Up

Each member of the team will get $50 in a gift card of their choice.

Best Presentation

Each member of the team will get $50 in a gift card of their choice.

Google Cloud API Challenge Winner

Each member of the winning team will receive a Google Cloud branded backpack.

Google Cloud API Challenge Runner Up

Each member of the winning team will receive a Google Cloud swag box.

Most Popular Hack

Each member of the winning team will get $25 in a gift card of their choice.

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Matt Harrington

Matt Harrington
Software Development Lead - Cognitive Computing, Epic

Tyler Caraza-Harter

Tyler Caraza-Harter
Instructor, UW-Madison

Meena Syamkumar

Meena Syamkumar
Assistant Faculty Associate, University of Wisconsin-Madison

Bret Larget

Bret Larget
Professor of Statistics and of Botany, University of Wisconsin

Kris Sankaran

Kris Sankaran
Assistant Professor, Department of Statistics @ UW Madison

Rob Langenberg

Rob Langenberg
Principal Analytics Data Engineer, John Deere

Dr. Srinivas Sridharan

Dr. Srinivas Sridharan
UIUC Site Leader and Lead Data Scientist, Corteva Agriscience

Dawn Sepehr

Dawn Sepehr
Research Scientist, Thomson Reuters Labs

Judging Criteria

  • Creativty
    Does your project demonstrate a distinctly innovative approach to a real-world issue?
  • Productivity
    Does your project have a unique application? Can it benefit the target audience substantially?
  • Product Quality
  • Verbal Presentation
    Do you make a compelling argument?
  • Use of Data Science
    Do you use advanced and customized data science methods to maximize insights from the dataset?
  • Documentation
    Do you provide clear and detailed documentation for full reproducibility?
  • Model Results
    Do your results approach state-of-the-art levels and indicate readiness for real-world deployment of the model? PS: Subject to project type (not applicable to all projects)
  • Design
    Is the message communicated through the UI fresh and compelling? The project should be very well organized so that users can use the application without any additional instructions. PS: Subject to project type (not applicable to all projects)

Questions? Email the hackathon manager

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