About the Exhibition

The Data Art 2026 Exhibition is part of the third-year Creative Visualisation module at Bangor University. Students explore innovative ways to represent data through visual and interactive media, and prepare their work suitable for exhibition.

Led by Prof. Jonathan C. Roberts, the course fosters authentic learning experiences and public engagement through art and data.

The School of Computer Science and Engineering at Bangor University champions both visualisation research and education. We welcome new projects, partnerships, and collaborations across all forms of visual communication, from exploratory and explanatory graphics to data art and narrative-driven storytelling.

Let’s create something together—get in touch!

Professor Jonathan C. Roberts
Dr Peter Butcher

Further Reading

If you wish to explore this work further, we have written a range of research papers and publications on data art, visualisation, and authentic learning. These include studies on the development of the exhibition, student engagement, creative visualisation practice, and public-facing data-driven design.

• Creating Data Art: Authentic Learning and Visualisation Exhibition
  Roberts, Jonathan C. (2024), Computer Graphics & Visual Computing
  Paper | Conference
• Fostering Creative Visualisation Skills Through Data-Art Exhibitions
  Roberts, Jonathan C. (2024), IEEE VIS Posters
  Paper
• Engaging Data-Art: Conducting a Public Hands-On Workshop
  Roberts, Jonathan C. (2024), EduVis Workshop
  ArXiv | Metadata | PDF | DOI | Workshop
• Data meets creativity: Authentic learning through data art design and exhibition
  Roberts, Jonathan C. (2026), Computers & Graphics
  DOI | Publisher

  Abstract: We introduce an authentic learning task where students create data art visualisations for public exhibition. Over multiple academic years, students engage in a structured process from research and design to reflection and curation. The framework supports creativity, technical skill development, and real-world application, demonstrating how data visualisation can connect academic learning with public engagement.