Video Competition

Why Compete?

  • Develop key communication skills valued by employers
  • Demonstrate your ability to concisely disseminate your research to a wider audience
  • Receive recognition among your peers and within the Society
  • Chance to win great prizes

Who Can Compete?

Any student or early career statistician (within 5 years of graduation) in a statistics related field. Previous winners are not allowed to compete, and you do not have to be attending the virtual ECSSC to participate.

What Does It Cost?

Free! There is no cost to compete.

Competition Rules:

  1. Only one submission per participant. You may present your thesis, dissertation, or other substantial research project.
  2. Video length is limited to 1-3 minutes. Any video over 3 minutes will be automatically disqualified. Time will commence once the competitor begins speaking.
  3. Video must not have any additional media or props (e.g., music, subtitles outside of closed captions, costumes, etc.).
  4. The language of the video must be English; Presentations are to be spoken word (no songs or poems are allowed).
  5. A single static slide is allowed during the presentation (no animations, slide transitions or movement). This may be visible for the entirety of the presentation or ‘cut to’ as often as required.
  6. Audio must be continuous for the duration of presentation.

Submission Process:

  • Record your 3-minute video and upload to YouTube with the privacy setting as ‘Public’ or ‘Unlisted’
  • Put “ECSSC2021 Video Competition” & your full name in the videos ‘Title’ section and your research title in the ‘Description’ section. (Updated on 17th June 2021)
  • Complete the competition registration form (available here once submissions open) including:
    • Link to your video
    • Your organisation, university or college
    • A brief summary of your video (<150 words)

Submit your video here:

Key Dates:

Submissions open21st June 2021
Submissions close23rd July 2021
People’s choice voting opens26th July 2021
People’s choice voting closes1st August 2021
Winners Announced1st August 2021

Judging Criteria:

**NOTE: Competitors will not be judged on the video recording quality or editing. Judging will focus solely on the below judging criteria with a focus on the competitor’s ability to convey their research to a wider audience. The judging criteria is:

  • Organisation: Did the presentation follow a clear, easy-to-follow structure?
  • Engagement & Delivery: How engaging was the presentation? Did the presenter show enthusiasm? Was the presentation delivered with confidence, a clear voice, and at a steady pace?
  • Comprehension & Content: Did the presenter cover the core components (background, research question, research significance, methodology & findings) with adequate detail? Was the presentation accessible to a non-specialist audience? Was the presenter able to convey their research without relying heavily on technical terminology & jargon?
  • Slide: Did the static slide enhance and compliment the presentation?

Video Publication:

All submitted videos will be posted on the Statistical Society Australia/ECSSC2021 official website, Facebook, Twitter, and YouTube accounts (unless indicated ‘no’ in the submission form). This will not affect competition eligibility and judgement.


There will be cash prizes for the winners!!
1st Place: $200
2nd Place: $100

We will also award $100 to the People’s Choice

Questions & More Information:

Please feel free to direct any enquiries to Melissa Middleton (

Previous Winners:

For inspiration, please consider viewing previous submissions and winners (see below for 2019 winners). All submitted videos have been posted in the SSA ECSSN youtube channel of Statistical Society of Australia: . Please note though that the competition guidelines, rules and format have changed from previous years and previous winners may not be reflective of the current guidelines & judging criteria.

2019 Winners

First Place: Tan Jing Yi Joshua, Singapore Management University (Title: Tan Jing Yi Joshua Remember.For.Me)

Second Place: Mustafa Shaheer Hamid, Monash University (Title: Employing Semantic Segmentation Using Neural Networks)