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🧠 WHAT YOU'LL LEARN

  • storytelling with music and data
  • how to encode data with sound
  • how to participate in our next data visualization challenge

📅 AGENDA
17.30 - 17.45 Intro & welcome
17.45 - 18.30 Dataviz Stockholm Community - Results of our first challenge
18.30 - 19.00 Duncan Geere & Miriam Quick - Loud Numbers: Telling Stories With Data and Music

âš¡DETAILS
Loud Numbers: Telling Stories With Data and Music
Duncan Geere & Miriam Quick

In this talk, we'll share what we've learned about effective storytelling with music and data in the process of creating Loud Numbers – the world's first data sonification podcast. We'll look at the landscape of sonification possibilities, from audification, through "earcons" and live data soundscapes, to complex parameter mapping. We'll share what we've learnt about the kinds of data and stories that are most suited to clear, compelling sonification, and how to avoid confusing listeners.
And we'll go in-depth into one of the episodes from Loud Numbers Season 1 – explaining the story, the data, and how we encoded it into music. We'll end with a world-exclusive preview of the final track from that episode. People who watch the talk will learn how to create powerful, compelling data narratives with sound and music, and get a look at one of the most exciting data projects of 2021.

😎 ABOUT THE SPEAKERS

Duncan Geere is an information designer interested in climate and the environment. Based in Gothenburg, Sweden, he works to communicate complex, nuanced information to a wider audience. He works part-time for the climate charity Possible, and he's also a generative artist and musician.

Miriam Quick is a data journalist, researcher and author who explores novel ways of communicating data. She has written data stories for the BBC, worked as a researcher for Information is Beautiful and the New York Times and co-created artworks that represent data through images, sculpture and sound. Her first book, I am a book. I am a portal to the universe., co-authored with Stefanie Posavec, was published in September 2020.

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