Listen to Your Gut – October 14, 2020

Duke University Science and Society sponsors a number of programs to foster the interdisciplinary exchange of ideas. One of these programs, SciComm Lunch and Learn, will be the host for Listen to Your Gut, a presentation on baby Lemurs, gut microbiomes and the sonification of data. Dr. Erin McKenney will present her research on changes in the gut microbiomes of baby Lemurs from birth to wean. (Dr. McKenney’s research was done at the Duke Lemur Center!) I will present the Baby Lemur Gut Microbiome Song, which is a sonification of those changes, and talk about how to “listen” to the data.

The program, originally scheduled on campus last March, will happen over Zoom on October 14, 2020. This means that you can all come!!! Here is the link to RSVP- this is necessary in order to get the Zoom link:

https://scienceandsociety.duke.edu/events/scicomm-lunch-learn-listen-to-your-gut-engaging-the-public-with-science-sound-with-dr-erin-mckenney-and-jude-casseday/

 In addition, we will share about the Sourdough Project, which Dr. McKenney and I worked on through the Rob Dunn Lab at NC State. I hope to have a section of The Song of the Sourdough ready to present on October 14th. These two studies/sonifications illustrate different approaches to sounding out data. I am grateful to Dr. McKenney for sharing her research and being game for explorations in sound! Another big gratitude goes out to Dr. Ariana Eily and The Art of the Scientist for taking an interest in the idea of sounding data!

Listening to the Micro-Environment

Thanks to Nancy Lowe from AS IS Center near Penland School, I am “new best friends” with Mark Boyd. Mark is a sound artist who records and amplifies the “voices” of plants, ants and flowing water: the realm of the tiny vibratory world. Talk about deep listening! Mark has been using electrode sensors on plants into a Volca Synth to listen to the electrical life force within the plant! He sent me recordings of his “biologues” with Bleeding Heart and Fern, and Dogwood. The playback presents us with a lot of fast-paced random sounds. Mark is interested in transducing this data into something people might listen to. Here is an excerpt from Mark’s Bleeding Heart and Fern biologues:

Excerpt MB BiologueBHnF

Ableton Live contains numerous tools for transposing/transducing/converting sonic data. An audio clip, such as the one you just heard, can be converted into midi clips; one that renders melody information, and another that renders harmonic information. So now we have audio information rendered as 2 packets of midi information. Within Ableton, midi files can be collapsed or stretched across a timeline and still maintain the integrity of the rhythmic intervals. Midi data can be assigned to a “voice” that feels representative of the sound artist’s impressions of the particular plant that is speaking. Midi data can be fed back into a synth such as the Volca to complete the circle.

The scaling of the time frames of the midi clips is exactly what is needed to help us “hear” the biofeedback from the plants. Doubling the length of the midi clip slows the overall “tempo” and helps us to listen into a kind of river of sound emitted by the plants. Slowing down allows us to tune into a rhythmic cohesiveness that is obscured by the frantic pace of the plant’s raw electrical impulses. We inject spaciousness into the mix in just the right amount, and it sounds like something is being communicated.

After finishing the new rendering of the data, I sent this to Mark:

Excerpt Biologue BHnF Remix dejacusse

He was ecstatic, over the top about all the possibilities of Ableton. He downloaded the Lite version and took off with it. We had some great email exchanges and he sent me samplings of his tests and experiments with the flora around his mountain home. Here is a beautiful example with a plant in Mark’s home:

I look forward to Mark putting together an orchestra of local flora in concert in the near future. In the meantime, I am enjoying dialoguing with another human being who is listening as deeply as I am.