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Draw the internet

“Age of You” Drop-In Activity: Draw the Internet

November 24 @ 11:00 am - 4:00 pm

What does the internet look like — to you? MOCA invites you to consider this question while exploring "Age of You", an exhibition highlighting such themes as data, artificial intelligence, surveillance and the limitless capabilities of the internet.

Victoria Sin

Victoria Sin: “If I had the words to tell you we wouldn’t be here now”

November 28 @ 7:00 pm

"If I had the words to tell you we wouldn’t be here now" uses storytelling, drag and theatrical devices to explore how language not only gives shape to thought, but shapes thought.

Monday Night Seminar

Monday Night Seminars: “HotMessAge” with Skawennati

December 2 @ 6:00 pm - 8:00 pm

The McLuhan Centre’s annual theme, "HotMessAge", explores how media and technology underlie today’s social and environmental crises while at the same time offering us the tools to address these challenges.

Mapping Data Bodies

Digital Justice Lab Workshop: Mapping Data Bodies

December 5 @ 6:00 pm - 7:00 pm

In this workshop, we will navigate the impact of datafication to form a better understanding of our “data bodies” and how they are used, stored and shared by governments and corporations.

Sarah Sharma

Sarah Sharma: “From Mommy’s Basement to Outer Space”

December 13 @ 7:00 pm - 9:00 pm

This talk will draw a line between Mommy's Basement to Outer Space and offer a feminist alternative to the technological escapism that pervades our present moment, justly termed the "Age of You".

Facial Recognition Age of You

“Age of You” Drop-In Activity: Defying Facial Recognition

December 29 @ 11:00 am - 4:00 pm

Think you can outsmart facial recognition? In this workshop, participants get to design and construct masks and headpieces inspired by "CV Dazzle", a project by artist Adam Harvey that provides information and tips for creating “looks” that can camouflage the face from face detection technology. Using elements such as asymmetry, tonal inverse and the concealment of certain facial features, you will be able to learn and test which design combinations are most effective in hiding from facial recognition technology.

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