Workshop: Processing - Level Up
Sunday, February 10, 2013 from 10:00 AM to 5:00 PM (EST)
You’ve learned Processing, and now you want to take things a little further. In this workshop, we’ll focused on advanced (and useful) techniques to step up your sketching. We’ll look at object-oriented programming strategies, 3D techniques, advanced video output, Processing.JS, and new features in Processing 2.0 along with a pile of helpful tips and tricks that I have learned over my years of working with Processing. Attendees are expected to have some knowledge of Processing – those proficient in other programming languages will probably fit in just fine.
Classes are limited to 10 students, keeping the vibe conversational and casual.
Price includes lunch and after-workshop beers. Screencasts of all working examples and source code will be provided to students after the workshop.
Jer Thorp is an artist and educator from Vancouver, Canada, currently living in New York. Coming from a background in genetics, his digital art practice explores the many-folded boundaries between science, data, art, and culture. Recently, his work has been featured by The Guardian, Scientific American, The New Yorker, and Popular Science.
Thorp’s award-winning software-based work has been exhibited in Europe, Asia, North America, South America, including in the Museum of Modern Art in Manhattan.
Jer is an adjunct Professor in New York University’s ITP program, and a member of the World Economic Forum’s Global Agenda Council on Design Innovation. He is a co-founder of The Office For Creative Research, a multi-disciplinary research group exploring new modes of engagement with data. From 2010 – 2012, Jer was the Data Artist in Residence at the New York Times.
When & Where
The Office For Creative Research
The Office for Creative Research is a multidisciplinary research group exploring new modes of engagement with data, through unique practices that borrow from both the arts and sciences. OCR clients are research partners, helping to pose, refine and ultimately solve difficult problems with data.