Data Science/AI Student of the Year

Sponsored by SPONSOR NAME

Entry Criteria

Entries for the student of the year sould preferably be self-nominated; however, supervisors may nominate their students.

Entries should provide detail on a data science/AI research project conducted by the student that showcase why they should be the student of the year and should highlight the relevance and impact of their research work.

Research projects should have been conducted by the nominee in the prior 12 – 18 months.

It is recommended that your application is submitted in data science context rather than marketing literature as each submission will be marked against the criteria set out below and will be reviewed by a data science professional.

Scoring

Nominees will be scored on a number of different criteria, receiving a score out of 100

Research Problem

  • Describe the research project, demonstrating your understanding of the research problem and the work you performed to gain that understanding. [20 Points]

Solution

  • Describe the solution that you created for the research problem, showcasing the data science/AI tools, techniques and skills that you applied for quantitative analysis and any machine learning tools, techniques, and skills that you applied to create models or deliver predictions and/or recommendations. [35 Points]

Impact

  • Describe the wider business or social impact of your solution to the research problem. Articulate why your research has been important and what can be done now that could not have been done before. [25 Points]

Visualisation & Story-telling

  • Demonstrate how you used visualisation and story-telling to communicate complex data sets in a visual and accessible way and/or to reveal hidden insights. [20 Points]

Note: Nominees may provide up to 2 examples of their visualisations to demonstrate this skill.