Hannah is currently working on creating unique datasets for art and machine learning, and is also working on a project to generatively score films. Through her work on emotions in AI, she’s become particularly interested in the idea of "subjective data" and has recently started further research into this area. She is a 2017 AI Grant recipient.
MONDAY, JUNE 4th • 9:00AM • WALKER ART CENTER – ROOM TBD
Data sonification lets us think and reason about data in an entirely new way! It can reveal variables and dimensions that would otherwise stay below the surface. On top of that, data sonification can also be used to create music and other creative projects!
This workshop will introduce users to the field of data sonification, or turning data into sound. We’ll look at different real-world examples, and see data from politics, sports, literature, and others turned into sound and music. We’ll look at the various types of data sonification, and how to decide which types are best suited for which types of data. We’ll see how to implement data sonification with several different tools. We’ll also look at music generation as a subset of data sonification. By the end of the workshop, participants will understand the field of data sonification and be able to implement it using a tool of their choice.
SKILL LEVEL: Intro/Intermediate
• Introduction to sonification; examples and use cases.
• Deciding what the best type of sonification is for types of data, and talking about appropriate mappings. Talk about any datasets that attendees brought to the workshop.
• Go over tools for data sonification, and implement three examples in different frameworks.
• Work with participants to implement data sonification projects of their own.
WHAT TO BRING:
• personal laptop
WHAT TO PREPARE:
Attendees should feel free to bring their own dataset to sonify. Otherwise, sample datasets will be provided to download.