Dr. Anita Chan

Professor

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Biography

Anita Say Chan is a professor in the School of Information Sciences and the Department of Media and Cinema Studies at the University of Illinois, Urbana-Champaign. Her research and teaching interests encompass globalization and digital cultures, innovation networks in peripheral regions, and science and technology studies with a focus on Latin America. She holds a PhD from the Massachusetts Institute of Technology obtained in 2008, specializing in History, Anthropology, and Science, Technology, and Society. Chan's notable work includes her book 'Networking Peripheries: Technological Futures and the Myth of Digital Universalism' published by MIT Press in 2014, which explores the intersections of technology and cultural narratives. She has received funding from the Center for the Study of Law & Culture at Columbia University's School of Law and the National Science Foundation. Throughout her career, Chan has held postdoctoral fellowships at CUNY Graduate Center and Stanford University, and has served as a faculty affiliate in various interdisciplinary programs including the Department of Anthropology and the Asian American Studies Department. Her current research projects focus on critical data studies and feminist decolonial approaches to technology.

Research Interests

Experience

Professor

2016-01-01 — Present

University of Illinois Urbana-Champaign • Champaign, IL

Teaching and conducting research in the field of information sciences and media studies.

Associate Professor

2010-01-01 — 2016-01-01

University of Illinois Urbana-Champaign • Champaign, IL

Focused on critical data studies and digital culture.

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.