When: 5, 13.00-18.00 & 6 September, 10.00-16.00 with a break for lunch
Location: Science Gallery, Trinity College Dublin
Price: Bookings via the Science Gallery (opening soon)
Do you want to get plugged in? Build an instrument that amplifies your body’s electrical signals so that you can use them to control a synthesizer or other devices:
The Circuit Taco. Experimental audiovisual duo LoVid (NY), will lead a workshop where you will build a Circuit Taco that converts electrical signals from your body’s surface into signals that are suitable for controlling other electronic instruments. This will include assembly of hardware on a custom printed circuit board with some basic soldering, along with discussion of and instruction about the electronics involved with the circuit.
WHAT TO BRING: PREPARE
This workshop will run at a relatively basic level and does not require prior soldering, electronics design, programming, or sculpting experience. Participants will gain electronics knowledge, develop soldering skills, and enjoy the Fiesta while developing a tool that they will keep (the Circuit Taco) that they may use in their future music and art making.
Participants are encouraged to bring their own design materials for case assembly and customization to enhance the cardboard and fabric provided. Also, participants who have synthesizers that accept control voltages are encouraged to bring them, though some modules will be available for use in performance for participants who do not have their own.
TEACHER
LoVid is an interdisciplinary artist duo composed of Tali Hinkis and Kyle Lapidus. Their work includes live video installations, sculptures, digital prints, patchworks, media projects, performances, and video recordings. LoVid combines many opposing elements in their work, contrasting hard electronics with soft patchworks, analog and digital, or handmade and machine produced objects. This multidirectional approach is also reflected in the content of their work: romantic and aggressive, wireless and wire-full. LoVid are interested in the ways in which the human body and mind observe, process, and respond to both natural and technological environments, and in the preservation of data, signals, and memory.