Dates

Oct 28 - 29, 2023
Submissions due Oct 29th at 12pm

Eligibility

Hackers must have registered and completed their RSVP to receive admission into the Rowdy Datathon. 

Project and Submission Requirements

  • Follow the Challenge Document's assignment of tasks for Beginner/Intermediate/Advanced. It is great if you add on analysis you are interested in (and can help you win!) but be sure to at least address the challenge posed.
  • You must upload a link to your code and files on GitHub
  • You must list the name of all team members
  • You must create a presentation for judges

Prizes
Advanced 1st Place: $350
Advanced 2nd Place: $300
Intermediate 1st Place: $300
Intermediate 2nd Place: $250
Beginner 1st Place: $250
Beginner 2nd Place: $200

Judging Criteria and Winner Selection

Skill Level

The level of inquiry must be proportional to skills. A participant who claims a lower level of expertise could be disqualified.

Compelling Presentation

Share your numerical and graphical results with legislators through executive summaries that are understandable and convincing. Express actionable results e.g. funding schools, care for elderly, etc. Supporting documentation can be technical.

Analysis Comprehension

Before a single line of code is written, before

a single byte of raw data is processed, you must be able to tell the story of what is the progression of steps that will be undertaken in analysis.

Sound Technical Methods

You may cite the analyses of others, but we want to see the methods that you have invented or adopted to calculate these projections (accompanied by error bars, if possible). The commission must have confidence in your results.

Awareness of the Data Context

All data have bias. Before, during and after analysis, it is essential to identify biases in the data and articulate clearly how these biases influence all steps of analysis and interpretation.

Reproducible Results

You must enable the commission to have your results confirmed by an independent team. That is, enable the independent team to replicate your results by describing your data and methods in detail.

Growth

Showcase what you knew before this weekend and what you learned. Share difficulties and successes, but it should be evident you tried something new