[Grads] Call for Summer Workshops, 2024 Edition

[Nette Worthey]

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*Greetings, all!*

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Happy start to winter festivities and holidays! I hope this email finds 
you all well*. *I have already had questions about workshops next 
summer, so I thought it'd be a great time to start the conversation 
about what we might offer this coming summer. To that end, please let me 
know:

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A) if you're interested in teaching a workshop (include a working title 
of that workshop) in summer 2024;

B) what format your workshop would work best (online, in person, 
hybrid), and if you’d be able to and interested in adjusting it one way 
or the other if conditions change; and

C) the approximate dates you would like to teach.

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*

Summer session this year is from June 17 through August 30, although it 
*may* be possible to schedule into September, particularly if you’re 
offering your workshop online. Send me your info and a rough abstract 
ASAP, particularly if this is a new or substantially reworked offering. 
We can be flexible and creative with scheduling, although avoiding 
concurrent offerings is generally preferred. Send me your ideas and 
let’s see what we can work out!

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*

Don’t hesitate to reach out if you have any questions.

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Cheers!

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*

Nette

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*

PS: To remind you, last year's offerings 
<https://ccrma.stanford.edu/workshops>were:

* *
CANCELED: 6/19 – 6/23 Real-Time Audio DSP on FPGA: Pierre Cochard, 
Maxime Popoff
6/26 – 6/30 Designing Physical Interactions for Music: Sasha Leitman, 
Roger Linn
7/10 – 7/14 FluCoMa: Making Music using Machine Listening & Machine 
Learning: Ted Moore, Davor Vincze
7/17 - 7/21 Real-time AudioVisual Composition with RayTone: Eito 
Murakami, John Burnett
7/24 – 7/28 Recording Arts: Cory Cullinan, Jay Kadis
7/24 – 7/28 Percepton-Based Orchestration for Composer-Performers: Yuval 
Adler, Nick Virzi
7/24-8/2, MWFMW Computer-Assisted Composition with Python: Marc Evanstein
8/7-11 DDSP: Audio and Music Processing with PyTorch: Irán Román, 
Chuyang Chen
8/14-18 Deep Learning for Music Information Retrieval I: How Neural 
Networks Learn Audio: Irán Román
8/21-25 Deep Learning for MIR II: State-of-the-art Algorithms: Irán 
Román, Bea Steers
8/28 - 9/1 SuperCollider: Josh Mitchell*

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I am on campus Monday through Thursday (leaving at 2 on Thursdays), and may be available in person on Friday by special arrangement
~*~*~*~*~*~*~*~*~*~*~*~*~*~
Nette Worthey
CCRMA Administrator
660 Lomita Ct.
Stanford, CA 94305
650.723.4971 x320
415.425.6153 mobile