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The Design of Data Sonification

Towards shared methods and tools

We are very glad to invite you to the Sound and Music Interaction Seminar with Sara Lenzi.

Time: Tue 2023-05-30 15.00

Location: Room 1440 "Henrik Eriksson", Osquars backe 2, floor 4

Video link: Zoom link

Language: English

Participating: Sara Lenzi, Delft University of Technology

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Data Sonification Archive


In a data-intense society, sonification is gaining momentum as an alternative or complement to data visualization. Nonetheless, a series of unresolved issues are still preventing sonification’s full transition from a niche scientific method into a widely adopted medium that could impact the way people make sense of complex phenomena. The lack of shared design tools and methods, common in other design-related disciplines, is among the most cited obstacles. Starting from the Data Sonification Archive (, an online collection of more than 400 projects, we will map the world of sonification and understand who uses it, why, and for whom. We will navigate through a Sonification Design Space that informed the definition of the Data Sonification Canvas, a design tool to support authors (designers, composers, researchers) to integrate sound into data experiences. The canvas has been recently evaluated by a pool of 20 users. Results from the evaluation study and plans for future iterations of the canvas will be shared.


Sara Lenzi is a postdoctoral researcher at the Critical Alarms Lab, Faculty of Industrial Design Engineering, TU Delft. She holds a Ph.D. in Design from Politecnico di Milano. Trained as a Western classical music performer and electroacoustic composer, she has a background in philosophy and STS studies (Science and Technology in Society). After a decade spent as a sound branding consultant for international brands (among others Ducati Motors, Singapore Changi Airport, BMW Asia, Citibank), she now dedicates full-time to research. Co-founder of the Data Sonification Archive, her main research area is sonification for AI-based anomaly detection in digital-physical networks. She is particularly interested in how sound and sonification can facilitate human-AI communication and support the decision-making process.