Analyze, understand, and create. DataSci '17 is a data-science competition open to all undergraduate/graduate students globally.

DataSci is an online competition aiming to support student-created data science projects. The competition will be open to all university students globally, and will involve the following topics: creating unique algorithms for analyzing data, visualizations, write-ups on derived insights, and more. Our submission platform will open March 1st, and will close on April 8th. Keep in mind, while submissions open on March 1st, we will happily allow anybody to register past this start date (up until April 8th). Remember that you MUST also register on this Typeform: https://aisutd.typeform.com/to/pdeBLE

Participants will work together in small teams to find undiscovered patterns and new meanings in datasets of their choice. General guidelines will be provided, but DataSci will primarily be about engaging both the creativity and learning capacity of its participants. We highly recommend reading through the 'Rules' section of DataSci '17 to find out more information this competition. 

Looking for a dataset? We highly recommend the following collections:

View full rules

Eligibility

  • Student at a university (undergraduate or graduate)

Requirements

  • Each team member must submit the following Typeform link before April 8th: https://aisutd.typeform.com/to/pdeBLE
  • Each team must submit the project before April 8th.
  • Project submitted MUST relate to data analysis, data science, or the like, in some way or form.
  • You must answer the following questions in your submission (which will be stated in the submission form)

How to enter

To enter, you MUST have signed up on a Typeform link: https://aisutd.typeform.com/to/pdeBLE. Also, please make sure you've read the 'Rules' page in its entirety before submitting a project. 

Judges

No avatar 100

UTD-AIS

Gordon Arnold

Gordon Arnold
Senior Lecturer at UTD

Anurag Nagar

Anurag Nagar
Senior Lecturer at UTD

Judging Criteria

  • Write-up
    We understand that the 'interesting-ness' of a data-science project often doesn't come from the data, but from the analysis write-up following it. Thus, the questions we ask in the submission form will be the primary way we decide the winners.
  • Question solved/attempted to solve
    Solving very interesting/useful/unusual questions, using data, will be a large factor in the finalists in DataSci '17.
  • Novelty of dataset used
    This is weighted low, relative to the other criteria, but we will look favorably upon interesting datasets used in your project submission.