The VERTIGO STARTS Artistic Residencies Program organises collaborations between artists and research and development (R&D) projects in the field of Information and Communication Technologies (ICT). We’re thrilled to announce that two of our FAULT LINES artist were awarded residencies for the project’s first ever round earlier this month and announced at Festival d’Avignon.

Kasia Molga joins the GROW Observatory with ODE from the DIRT, a series of audio/visual sculptures made with a machine learning algorithm from GROW’S soil data. Ling Tan joins hackAIR with Pollution Explorers, a participatory project exploring air quality issues through people’s subjective perception and wearable technology.

VERTIGO is funded under the H2020 European STARTS initiative, innovation at the nexus of Science Technology, and the ARTS. STARTS promotes the arts as catalysts for efficient conversion of science and technology knowledge into products, services, and processes. We’ll keep you updated on their progress soon!

More on the VERTIGO STARTS and FAULT LINES residencies:


“ODE from the DIRT” is a selection of audio/visual devices/sculptures created by Kasia Molga in collaboration with sound artist Robin Rimbaud Scanner. The data that comes from the soil and from the satellites will inform the artwork.. Various parameters such as moisture, ph, presence of specific organisms or minerals are main actors in this piece, translated and interpreted by machine learning algorithms making decision about animation of the lights and composition of the soundscape. Read more on Kasia’s project here. 


Pollution Explorers is a participatory project co-created with the hackAIR community, that make use of hackAIR platform to help citizens make sense of the complex issues around air pollution. Made up of a series of kit-of-parts experimental wearable devices that incorporate hackAIR sensors and body gesture technology, it enable users to contribute data to the hackAIR community through measuring situated air quality while being mobile in the city and at the same time, record their subjective perception of the quality of air in their environment, creating a layer of “perceptual air quality data” that could help further the air quality conversation. Read more on Ling’s project here.