Machina
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Just as Symbolic Systems studies the mind, Machina exhibits what SymSys students’ minds are working on. Our goal is to showcase the exceptional range of work Symbolic Systems students produce, providing a rigorous yet fun view of what SymSys truly encompasses and shedding light on the diverse inquiries of its scholars. We hope you enjoy reading through these issues!
Have work that you’d like to see featured in Machina? Submit!
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Editor in Chief: Zoe Quake
Editors: Sunny Yu, Aarushi Kumar, Jean Chun
58 pages, 11 works
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Editor in Chief: Millie Lin
Editors: Rebecca Pizzitola, Zoe Quake, Sunny Yu, Elizabeth Zhu
93 pages, 12 works