Now heading into its fourth year, the Winter Data Analysis Challenge has continued to grow in both size and standard — and so has the judges’ eye for what makes a standout submission. After three years of co‑leading the challenge, Dr Alistair Senior and Dr Shila Ghazanfar have developed a clear sense of what separates solid work from a winning entry. We caught up with them to reflect on last year’s submissions and share their top advice for the 2026 cohort.
What made the top entries stand out?
The strongest submissions combined rigorous visual and statistical analysis with a compelling, well‑defined research question. A clear question helped guide the analysis and made the logical steps easy to follow. Beyond that foundation, top entries excelled at communicating across both modes — written and video — tailoring their material to suit each format.
What separates a “good” submission from a “great” one?
Great submissions made full use of the information available, including thoughtfully justified additional data sources. The judges noted that some teams added external datasets without clear motivation, while the best entries integrated them purposefully. Great submissions also followed up on their initial findings with additional analyses, showing adaptability and deeper investigation rather than stopping at the first result.
What do you wish more teams had done?
More critical assessment and evaluation. For statistical models, this means asking – if the data was slightly perturbed, would you still make the same conclusions? More broadly, it’s about assessing the strength of evidence, the logic behind causal links, and the limitations of the conclusions you can reasonably draw.
How important was communication or storytelling?
Extremely. Effective communication lets your analytical process shine. The challenge naturally lends itself to storytelling: pose a question, take the audience through your steps, and land on your conclusions. This narrative arc helps viewers understand what comes next and why. Communication skills are essential in every data‑driven role, and the challenge gives participants room to be inventive and creative.
Top advice for 2026 competitors
You can achieve far more in a short timeframe than you expect. Approach the challenge with the mindset of pushing yourself — and aim to produce something you’ll be proud to showcase in your data science portfolio. Most importantly, invest time upfront in crafting a compelling question. Your first idea is rarely the strongest. Ideate, prototype, refine, and only then move into full analysis, report writing, and video production.
Ready to take part in 2026?
Expressions of interest are now open https://spds.sydney.edu.au/winter-data-analysis-challenge/