Made in Asia/America: Why Video Games Were Never (Really) about Us (Power Play: Games, Politics, Culture)

Made in Asia/America explores the key role video games play within the race makings of Asia/America. Its fourteen critical essays on games, ranging from Death Stranding to Animal Crossing, and five roundtables with twenty Asian/American game makers examine the historical entanglements of games, Asia, and America, and reveal the ways games offer new modes of imagining imperial violence, racial difference, and coalition. Shifting away from Eurocentric, white, masculinist takes on gaming, the contributors focus on minority and queer experiences, practices, and innovative scholarly methods to better account for the imperial circulation of games. Encouraging ambiguous and contextual ways of understanding games, the editors offer an “interactive” editorial method, a genre-expanding approach that encourages hybrid works of autotheory, queer of color theory, and conversation among game makers and scholars to generate divergent meanings of games, play, and “Asian America.”

Contributors. Matthew Seiji Burns, Edmond Y. Chang, Naomi Clark, Miyoko Conley, Toby Đỗ, Anthony Dominguez, Tara Fickle, Sarah Christina Ganzon, Yuxin Gao, Domini Gee, Melos Han-Tani, Huan He, Matthew Jungsuk Howard, Rachael Hutchinson, Paraluman (Luna) Javier, Sisi Jiang, Marina Ayano Kittaka, Minh Le, Haneul Lee, Rachel Li, Christian Kealoha Miller, Patrick Miller, Keita C. Moore, Souvik Mukherjee, Christopher B. Patterson, Pamela (Pam) Punzalan, Takeo Rivera, Yasheng She, D. Squinkifer, Lien B. Tran, Prabhash Ranjan Tripathy, Emperatriz Ung, Gerald Voorhees, Yizhou (Joe) Xu, Robert Yang, Mike Ren Yi

Christopher B. Patterson is Associate Professor of Gender, Race, Sexuality, and Social Justice at the University of British Columbia and author of Open World Empire: Race, Erotics, and the Global Rise of Video Games.

Tara Fickle is Associate Professor of Asian American Studies at Northwestern University and author of The Race Card: From Gaming Technologies to Model Minorities.