Applications are now open for The Data Lab Community’s Data Visualisation Competition 2025.
Data viz enthusiasts are encouraged to apply to the 2025 The Data Lab Community‘s competition. Tell the story of the hidden benefits of climate action to our health, community and beyond.
Whether you are a seasoned data viz pro or just getting started, this competition is for you.
Entering the competition will allow you to take your skills to the next level, demonstrate your abilities and raise your profile in a global data and AI community.
Visit the competition webpage to find out more:
The hidden benefits of climate action
For this year’s competition, we will explore one of the biggest challenges facing humanity today – climate change. Your challenge is to uncover and visualise a story from the data that has the potential to shift perspectives and influence beliefs. Provided by the team at the Edinburgh Climate Change Institute, you will be given access to the primary dataset that is used to power The UK Co-Benefits Atlas – an interactive visual interface for communicating the positive and often hidden benefits that climate action can bring to our health, communities, economy, and environment.
You are tasked with choosing one or more of the 11 co-benefits modelled in the data. Use the data to create a compelling, persuasive argument that highlights the benefits of climate action. Tailor it to a specific audience of your choice (e.g. a local council, a business leader, a community group).
Shortlisting process
Entries will be judged based on three main criteria:
- clarity and communication,
- creativity and design, and
- data analysis, understanding and accuracy
Shortlisted entries will be showcased at DataFest 2026, with prizes awarded to the top three projects. The competition is open to everyone – from students and beginners to experienced data professionals. You can enter as an individual or a team.
Take part in the competition
The datasets will be available from the 3rd of November. The competition opens on the 26th of November, you will have until the 16th of January to submit your data visualisation.
Visit the website for more information or click the button to register your interest: