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Sound and Movement Hackathon

lumaHosted on Luma

Fetched about 2 hours ago

Sunday, July 19, 2026

to Monday, July 20, 2026

•

10 hours long

Arts & CultureTech

Event Type

in person

Come spend a day exploring the interplay between sound and movement, and building new ways to create music through gesture and dance! We’ll be kicking off with artist talks for inspiration, followed by an afternoon of experimentation and collaboration, ending with presentations at 7:30pm. Start a new project or bring a work in progress, meet new collaborators and exchange information and techniques with the community. As always, FREE with RSVP! 12:00 - Artist talks 2:00 - Workshop 7:30 - Open Presentations Guest speakers: Kate Sicchio [ https://www.sicchio.com ] “Live Coding Choreography: Computation, Algorithms and Movement” Moira Zhang [ https://moirazhang.com ] “Hands as Instruments: An Intro to Hand-Gesture Tools for Live Performance” Kwami Winfield [ https://issueprojectroom.org/artist/kwami-winfield ] “Extended Techniques for Prepared No-Input Mixer: Noise Synthesis Defined by Severe Over-Stress of Circuitry” Workshop by Ganling Zhou [ https://ganlingz.github.io/starweb/index.html ] “Conducting with Your Face: Real-Time Gesture Control in Max/MSP” Presented by Music Community Lab, hosted by Fractal Tech graphic by Katarina Hoeger Accessibility note: the event venue is up one flight of stairs from street level, and we regret that there is no elevator. If you require any type of assistance, please contact us in advance at contact(at)musiccommunitylab.org

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct