Dr. Jonathan Rosa

Associate Professor

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Biography

Jonathan Rosa is an Associate Professor at Stanford University's Graduate School of Education, with courtesy appointments in the Departments of Anthropology, Linguistics, and Comparative Literature. His research focuses on the intersection of race and language, examining how these elements are experienced and transformed within distinct historical and geopolitical contexts. Dr. Rosa adopts a community-based approach in his work, integrating research, teaching, and service to imagine and enact more just societies. He is the author of the award-winning book 'Looking Like Language, Sounding Like Race: Raciolinguistic Ideologies in Learning Latinidad,' and has co-edited volumes including 'Language and Social Justice in Practice.' His scholarly work, along with insights into race, language, and education, has been featured in major media outlets such as The New York Times, NPR, and Univision. Dr. Rosa has actively participated in various professional organizations, including serving as President of the Association of Latina/o Latinx Anthropologists and engaging with the American Anthropological Association's committees on language and social justice. He earned his Ph.D. in Sociocultural Linguistic Anthropology from the University of Chicago and has contributed to the academic community through numerous courses and mentorship of doctoral students.

Research Interests

Experience

Associate Professor

— Present

Stanford University • Stanford, CA, US

Associate Professor at the Graduate School of Education with courtesy appointments in Anthropology, Linguistics, and Comparative Literature.

Awards

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Distinguished Summer Scholar

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Outstanding Book of the Year Award

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Book Award

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Prose Award for Excellence in Language & Linguistics

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Charles Ferguson Award for Outstanding Scholarship

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.