The Matilda Centre for Research in Mental Health and Substance Use undertakes world-leading research into the patterns, prevention, and care of mental health and substance use issues. Data is key to our work, and imaginative ways to visualise and communicate data results in better understanding and policy change. Data visualisation competitions are a great way to build analytical thinking, graphic design, and data science skills. This competition – open to all university students in Australia– is being run by a group of PhD candidates at the Matilda Centre and is funded by the Matilda Centre.
For this competition, we are asking university students to source data related to mental health and/or substance use and create a visual representation of those data to tell a story or highlight an important issue.
Beyond that – what you do is up to you! Focus on issues of personal interest, or those that you think matter to your community/society more widely, and showcase your data viz strengths! We want to see the best stories that the data can tell. For inspiration, check out the winners from last year’s competition.
|Monday 1 August
|Friday 13 October
|Entry deadline, 5pm AEDT
|Friday 27 October
|Public voting opens
|Wednesday 8 November
|Public voting closes
|Friday 10 November
|All winners announced
Submissions can be made by individuals or teams of students. Visualisations must be in a digital format readily accessible by the public. Specifically, they must be either a high-quality stand-alone static image (jpeg, PNG etc), or dashboard-type entry hosted on a public server (see examples). Such formats may include Shiny, Tableau or PowerBI dashboards.
Entries must be submitted to: email@example.com with the subject ‘data viz entry 2023’. You must:
Fifteen of the top entries, as voted by an expert advisory committee, will be selected for judging and public voting. These entries will be judged by 3 academic/professional staff members of the Matilda Centre and 1 judge external to the Matilda Centre, according to the following criteria (10 points for each):
The fifteen top entries will also be posted to an online site to facilitate public voting. Links to the survey will be shared via the Matilda Centre, and will be emailed to all entrants. Please encourage your networks to vote!
3 prizes worth $250 each are on offer:
Please provide context and text-based interpretation on the visualisation so a reader can understand what you’re communicating. Think how an infographic communicates all information in a clear and aesthetically pleasing manner.
There is plenty of publicly-available data that you could use for this competition – if you know where to look!
You will probably want to make use of aggregate level statistics. These are the kind of data you might find published in government reports or journal articles. This could be useful if you want to visualise data on a group-based level e.g., how a particular phenomenon varies across countries or over time. Aggregate data are all that is required for beautiful, insightful visualisations.
You may wish to take inspiration from Our World in Data’s alcohol, drug, and mental health vizzes. The aggregate level data they use to make these charts are freely available – just click the download button! Other sources of relevant aggregate data include The Household, Income and Labour Dynamics Survey and the National Drug Strategy Household Survey
The AURIN platform (for which you can make an account using your University details), is also a good place to search for Australia-specific data, while Google dataset search and Gapminder are broader repositories. Finally, if you are code proficient, there are several packages that function as APIs for accessing data (e.g., for health data).
There are also some publicly available individual-level data to be found, which allow you to examine how phenomena and relationships vary (or don’t) on a more fine-grained level and to make statistical inferences. Packages for coding languages, e.g., R or Python, often contain individual-level datasets – many of which are relevant to mental health and substance use. For example, we have located a dataset looking at substance use and personality predictors, and one looking at alcohol abuse and other demographic/lifestyle characteristics.
If you do not have access to the above datasets, please view the substance use and personality predictors (.csv, 276KB), and alcohol abuse and other demographic/lifestyle factors (.csv, 1.2MB).
Important notes: Only use personal research data if you have permission to share it publicly. Make sure to cite what data you are using somewhere on your viz.
For any questions, contact: firstname.lastname@example.org
In business hours: also consider reaching out to the University of Sydney Student Counselling Service (Level 5 Jane Foss Russell Building G02) at 8627 8433 to book an appointment from 9am to 5pm, Monday to Friday.
After hours: The University Crisis Line is accessible for calls within Australia at 5pm-9am weekdays and 24 hours on weekends by calling 1300 474 065 or texting 0488 884 429. Students who are offshore can seek help here.