Mimi Onuoha
Mimi Onuoha | |
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| Education | New York University, Princeton University |
Mimi Onuoha is a Nigerian American visual artist and academic based in Brooklyn, NY whose work examines the effect of data collection and technology on society.[1][2][3]
Early life and education[edit]
Onuoha majored in anthropology[4] at Princeton University.[5] She earned a Master’s degree from NYU’s Interactive Telecommunications Program.[6]
Work[edit]
Onuoha's work, including The Library of Missing Datasets,[7] has explored the idea of "missing datasets," which she describes as "blank holes in otherwise data-saturated systems," such as information about citizen surveillance by the police. These gaps in modern data collection can both harm and help vulnerable communities.[4] Onuoha points out that Google Maps lacks map data for Brazil's favelas, leaving out communities where more than a million people live.[8] She is also interested in the effects of artificial intelligence and how people are classified and abstracted by data.[4] Onuoha is the co-author of A People's Guide to AI with Mother Cyborg.[9]
Onuoha has been a Fulbright-National Geographic Fellow and an artist in residence at Eyebeam Center for Art & Technology, Studio XX, Data & Society Research Institute, Columbia University’s Tow Center, and the Royal College of Art.[10] She also taught at Bennington College.[5] She is currently an adjunct professor at New York University[1] and lives in Brooklyn.[4]
References[edit]
- ^ a b "Mimi Onuoha". Data & Society. Retrieved February 22, 2020.
- ^ Reventlow, Nani Jansen. "Data collection is not the solution for Europe's racism problem". www.aljazeera.com. Retrieved December 30, 2020.
- ^ "Center for Digital Humanities holds 'Who Counts?' symposium on intersectional data". Princeton University. Retrieved December 30, 2020.
- ^ a b c d "Advice to my younger self: Mimi Onuoha". Ford Foundation. Retrieved February 22, 2020.
- ^ a b "Mimi Onuoha | Bennington College". www.bennington.edu. Retrieved February 22, 2020.
- ^ "Mimi Onuoha | Tow Center". towcenter.columbia.edu. Retrieved February 22, 2020.
- ^ "The Library of Missing Datasets". Alfalfa Studio. July 31, 2018. Retrieved February 22, 2020.
- ^ Rosenblat, Alex (October 23, 2018). Uberland: How Algorithms Are Rewriting the Rules of Work. Univ of California Press. pp. 111–112. ISBN 978-0-520-97063-2.
- ^ "A People's Guide to AI". Allied Media Projects. September 18, 2018. Retrieved February 22, 2020.
- ^ "Reenvisioning the Internet: Embrace Its Multiplicity". walkerart.org. Retrieved February 22, 2020.
External links[edit]
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