The STEAM-ED project, funded by the Science Foundation Ireland (SFI), was an interdisciplinary educational and outreach project, which combined new innovative technologies in exploring scientific concepts through Art and Perception.
The project demonstrated how data science can be taught through artistic experience, and how children can become active participants in generating and interpreting the data that shapes their world. A dedicated website, Donoughmore Sensors Online, was developed to host and display the live data, providing an ongoing digital resource for the school community.
Visual Representation
This data was used in two complementary ways: first, it was visualised through organic, dynamic charts that updated every 15 minutes, giving students a tangible and visually compelling way to understand data science.
48 hours
The data was also translated into a generative musical composition, where different environmental variables control individual instruments within a continuously evolving soundscape. This process transforms scientific information into an immersive sonic artwork, highlighting alternative ways of experiencing and understanding data. Examining how artistic methodologies can open new ways of interpreting environmental systems and scientific information.
Sonic Representation
This was an innovative programme bringing together art, data science, and the Internet of Things (IoT) in a primary school context.
Brightness/Light