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Mia Wong

BA Candidate - Models & Method: Critiquing the Way we Conceptualize the World

Mia was born in Hong Kong and grew up in New Jersey. When searching for colleges, Gallatin stood out as a place where she could take the initiative for her own learning and organically build a major. Questions which drive her concentration include: How do we navigate information and manage risk? How do we properly utilize data analysis in a way which incorporates lessons from literary critique and historiology? Mia's concentration was partly inspired by Humanizing Data, a 2017 Urban Democracy Lab symposium which explored how to effectively use data analysis to use humanities research and methodologies to further data analysis research.

Gallatin’s flexibility allows Mia to learn about data analysis from a truly interdisciplinary perspective: learning risk management and big data practices from NYU’s Stern School of Business, statistics and probability theory from the Courant Institute of Mathematical Sciences, econometrics from the College of Arts and Sciences, and literary critique and critical analysis from her Gallatin classes. In particular, her courses at Gallatin have enabled her to look for the complexity within seemingly simple statistics. Her most influential Gallatin course was Anastasiya Osipova’s First-Year Research Seminar “The World in Pieces: Emergency Literature,” which introduced her to the discourse of method and how it relates to architecture, space, and community. Her interest in historiography came from the first-semester writing seminar, "The History of Orientalism and the Politics of Its Legacy."   

In the fall of 2017, Mia is interning at MikMak, a start-up founded by Gallatin alumna Rachel Tipograph, whose mission is to "create native commerce experiences for the social video generation." At MikMak, Mia is learning about how businesses utilize data analytics, what frameworks are employed, and how strategy can both feed into and result from statistical research.  

Mia Wong